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As the Senior Procurement Manager – Procurement Intelligence you will be leading our pioneering Procurement intelligence capability in our Sky Group Procurement Centre of Excellence. The role will involve partnering with all procurement leaders and their teams in Sky and Comcast/NBCU as well as other functions such as Finance, Data and Technology. Our vision for Procurement is to deliver the best possible supplier contracts and relationships over the short & longer term (cost, quality, risk, availability, innovation, sustainability). This requires: • An understanding of business strategy & stakeholder plans, achieved through strong relationships, • An intimate knowledge of a category’s suppliers & market developments, reflected in great category plans, • Supplier management & negotiation experience/ expertise, • Leveraging our global scale to deliver locally What you’ll do • Lead the Procurement data visualization team, with responsibility for day-to-day priorities, delivery, coaching, and development of direct reports., • Own and improve Procurement’s Power BI reporting suite, ensuring dashboards are accurate, intuitive, well-governed, and aligned to business priorities across spend, savings, suppliers, sustainability, diversity, risk, and operational performance., • Partner with Procurement stakeholders to understand business questions, define reporting and data requirements, translate those requirements into practical BI solutions, and support adoption of dashboards and insights., • Work closely with the Data, Finance, Technology, and Procurement teams to improve data quality, reporting definitions, source-system alignment, and confidence in Procurement intelligence outputs., • Support the broader Procurement technology enablement roadmap by identifying opportunities to simplify reporting, reduce manual effort, improve data-driven decision-making, and prepare for future automation and AI-enabled capabilities., • Contribute to enterprise-wide procurement intelligence initiatives across Comcast, NBCU, and Sky, ensuring local needs and global opportunities are appropriately understood and connected., • The role will be expected to identify and apply practical AI opportunities within Procurement Analytics, including the use of Microsoft Copilot, Copilot Studio, and related tools to improve reporting, insight generation, automation, and user self-service. What you’ll bring Essential criteria: • Significant relevant experience in procurement, business intelligence, data analytics, reporting, technology enablement, or a related field., • Strong experience with business intelligence and data visualization including Power BI in an enterprise environment., • Experience managing or leading people, including setting priorities, coaching team members, and supporting delivery through others., • A strong understanding of procurement processes, procurement data, category management, supplier management, or sourcing operations., • Hands on ability to leverage Microsoft Copilot, Copilot Studio, and AI-enabled tools to support analytics automation, insight generation, and self-service reporting., • Strong stakeholder management and communication skills, with the ability to engage senior stakeholders and translate technical topics into clear business language., • Ability to work across multiple teams and functions, including Procurement, Finance, Data, Technology, and enterprise partners. Desirable skills and experience: • Strong analytical mindset, with the ability to identify trends, challenge data quality, simplify complexity, and generate actionable insight., • Desirable experience with Sky’s procurement and reporting landscape, including Ariba, SAP, Power BI, Per Angusta, or similar procurement and analytics platforms. Benefits and perks There's one thing people can't stop talking about when it comes to life at Sky: the perks. Here’s a taster: • Free Sky TV or NOW package, including Sky Sports and Sky Cinema, • Pension package with up to 9% employer contribution, • Private healthcare with mental health support, • Aviva Digital GP and dental insurance, • Discounts on Sky products, including Sky Mobile, Sky Broadband, Sky Glass and Sky Protect, • Sharesave and Tech schemes, • A range of Sky VIP rewards and experiences How you’ll work We've adopted a hybrid working approach to give more flexibility on where and how we work. The hybrid working expectations for this role are 3 days in the office per week. Your office base Osterley Our Sky Group HQ. Equipped with state-of-the-art technology and workspaces, there’s plenty of space to see your big ideas come to life. Here you’ll find 13 subsidised restaurants and cafes. You can re-energise at our gym, catch the latest films at our cinema, get your car washed and even get pampered at our beauty salon. Our Osterley Campus is just a 10-minute walk from Syon Lane train station, or you can get one of our free shuttle buses from Osterley, Gunnersbury and Ealing Broadway stations. Plus, there’s free onsite parking available for cars, motorbikes and bicycles. Who we are We’re Sky, a leading media and entertainment company who connect millions with entertainment, sports, news and arts through innovative products and services. Working with us means you’ll be bringing the joy of a better experience to more people, every day. All so we can do better and deliver better for our customers, colleagues and society. We’re an equal opportunity employer and value diversity at our company. We're a Disability Confident Accredited Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need as early as you can. Just so you know: if your application is successful, we’ll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer. To be eligible for this role you are required to have the appropriate right to work in the UK. Please be aware Sky does not offer sponsorship for this position. To find out more about working with us, search #LifeAtSky on social media.

DescriptionOrgvue is a leading organizational design and planning software platform that captures the power of data visualization and modelling to build more adaptable, and better performing organizations. HR, finance and business leaders use Orgvue for actionable insight and analysis that helps them make faster workforce decisions in a constantly changing world. Orgvue is used by the world’s largest and best-known enterprises and management consulting firms to visualize and confidently build the businesses they want tomorrow, today. The company is headquartered in London, with offices in Philadelphia, The Hague, Toronto, and Sydney. We're looking for a Technical Account Consultant who will serve as a trusted advisor, proactively addressing issues within existing customer and partner solutions, or identifying opportunities to propose new solutions.The RoleWe are looking for a Technical Account Consultant to join our Customer Success team to support our continued growth.As a Technical Account Consultant, you will bring a deep understanding of how the Orgvue platform can and should be utilised, combined with the ability to apply that knowledge directly within customer environments and explain it clearly to users.You work with both partners and direct customers, supporting active accounts by helping users get sustained value from the Orgvue platform. This includes contributing hands‑on configuration, reviewing and improving existing solutions, and guiding users so they understand how to work effectively and independently with Orgvue over time.The role is part of the ongoing account team and will suit someone who enjoys practical problem‑solving, working closely with users, and combining delivery with guidance to improve how Orgvue is used day‑to‑day.ResponsibilitiesWork closely with partners and direct customers as part of the account team to help users get sustained value from the Orgvue platformApply deep platform expertise to review, improve, and optimise customer and partner tenant configurations in line with best practiceContribute hands‑on configuration changes where appropriate, including Gizmo optimisation and other updates that improve usability, performance, or outcomesExplain configuration decisions, patterns, and trade‑offs clearly so users understand how and why the platform is set up and can work more effectively with itSupport users with ad‑hoc technical queries raised through the Customer Success team, using platform expertise to diagnose issues and recommend practical solutionsMaintain a strong understanding of customer use‑cases, solution maturity, and risks in order to proactively identify opportunities for improvementWork collaboratively with Customer Success Managers, Account Managers, partners, and other teams to ensure technical guidance aligns with customer objectivesShare insights and feedback from customer usage to help improve delivery approaches, best practices, and the Orgvue platform over timeRequirementsYou’re excited by the prospect of joining a rapidly growing international company You’re interested in building consulting skills within the HR/OD analytics space.You want to make a fundamental difference to some of the largest organizations and household names across North America.You really enjoy solving problems. You love taking on difficult challenges and finding creative solutions You don't get flustered easily. If you don't know the answer, you'll dig until you find it.You collaborate well with others, you deliver on your commitments and are comfortable being challengedPreferred Knowledge & SkillsTwo plus years of Orgvue experience Bachelor’s Degree Required, ideally in Information Sciences or Business StudiesExcellent knowledge of Microsoft Office, including Excel and PowerPoint.Data analysis skills essential; knowledge of statistics modelling is preferred.Client-facing experience, established communication skills and comfort speaking and presenting to customers of all levelsBenefitsHybrid working - 2 days a week in the London officeWellbeing: Sanctus Coaching, Virtual fitness sessions, Wellbeing webinars, Annual Wellbeing daySubsidised Gym MembershipPrivate Medical Insurance (including Dental and Vision) and Life Assurance25 days holiday (increasing to 30 days at a rate of 1 extra day per year)Employer pension contribution of 5% of your gross salary, if you contribute a minimum of 3%Season ticket LoanCycle to Work SchemeAnnual Discretionary Bonus'Here at Orgvue we promote individualism and a diverse workforce to build on our future success'Job SummaryID: 92F65C881ADepartment: Customer Experience, Customer SuccessType: full time

DescriptionAbout UsAt HDR, we specialize in engineering, architecture, environmental and construction services. While we are most well-known for adding beauty and structure to communities through high-performance buildings and smart infrastructure, we provide much more than that. We create an unshakable foundation for progress because our multidisciplinary teams also include scientists, economists, builders, analysts and artists. That's why we believe diversity is our greatest strength. HDR is proud to be an equal opportunity workplace and an affirmative action employer.Watch Our Story:' https://www.hdrinc.com/our-story'We believe that the way we work can add meaning and value to the world. That ideas inspire positive change. That coloring outside the lines can illuminate fresh perspectives. And that small details yield important realizations. Above all, we believe that collaboration is the best way forward.HDR was ranked #1 among the "Top 30 Data Center Architecture + AE Firms" in BD+C's "2022 Giants 400" report - the list of the largest architecture, engineering and construction firms in the United States. Primary ResponsibilitiesIn the role of Architect, we'll count on you to:Have recent experience working on diverse and complex social infrastructure projects (including health, education and science/technology) and/ data centre projects.Lead aspect of the planning and detailing of architectural projects for architectural projects through all stages of design, while under the supervision of a Project Lead/ Project ManagerSupport the development and maintenance of project documentation, including drawings, specifications and reports.Facilitate and lead owner/clients, internal and stakeholder meetings and participate in reviews with various governing agencies for code compliance.Coordinate work of single or multidiscipline teams throughout the project’s life cycle (from development and initiation to close-out), while under supervision of a Project Manager.Good working knowledge and experience within the UK planning and building regulations systems.Ensure work complies with relevant codes, standards and regulations (i.e. UK Building Regulations, Standards and Healthcare Guidance)Participate in QA/QC and technical reviews.Perform other duties as needed.You’ll be working closely with the multi-disciplinary design teams, clients, and contractors in the UK and Europe.Required RequirementsRegistered Architect- ARBA minimum of 3-5 years practical and industry experience in the UK (i.e. social infrastructure projects (including health, science and technology, education and community projects) and/ or data centre projects)Passion for creativity and designExcellent collaboration skills, good self-organisation and strong ability to work in a team environment.Strong interpersonal and communication skills, capable of effective facilitation with client and multidisciplinary teamExcellent analytical and critical thinking skillsKnowledge and experience applying relevant codes, standards and regulations in design and planning.Ability to multi-task, prioritise and meet tight deadlines.Intermediate level knowledge and experience with design software such as Autodesk Revit, AutoCAD, Adobe Creative Suite, MS OfficeUnderstanding of computational and parametric designGraphic and visualization skills to communicate design ideas.An attitude and commitment to being an active participant of our employee-owned culture is necessary.Preferred QualificationsMaster’s degree in architectureKnowledge of Photoshop, Illustrator, SketchUp and 3-D Studio Max but not requiredRhino and Grasshopper experienceExperience and/or interest in sustainable design.#LI-MW4QualificationsRequired RequirementsBachelor's degree in Architecture or closely related field3+ years’ experience of working with Data Centre projects is desirable. Registered Architect Understanding and experience of various building contractsExperience with Microsoft Office (Word, Excel, Project Schedule) Excellent written and communication skillsExcellent analytical and problem-solving skillsProficient in use of Autodesk Revit and familiarity with related tools and processDemonstrated graphic presentation skillsMust have experience in preparation and layout of architectural contract documents and specificationsStrong knowledge of building regulations and good planning skillsAn attitude and commitment to being an active participant of our employee-owned culture is a mustPreferred QualificationsMaster's degree in ArchitectureKnowledge of Photoshop, Illustrator, SketchUp and 3-D Studio Max but not requiredRhino and Grasshopper experienceWhy HDRAt HDR, we know work isn't only about who you work for it's also about what you do and how you do it. Led by the strength of our values and a culture shaped by employee ownership, we network with each other, build on each other's contributions, and collaborate together to make great things possible. When you join HDR, we give you license to do the same. We help you take charge of your career, giving you multiple growth opportunities along the way. Job Field: ArchitectureSchedule: Full-timeEmployee Status: Regular

This is your opportunity to join AXIS Capital – a trusted global provider of specialty lines insurance and reinsurance. We stand apart for our outstanding client service, intelligent risk taking and superior risk adjusted returns for our shareholders. We also proudly maintain an entrepreneurial, disciplined and ethical corporate culture. As a member of AXIS, you join a team that is among the best in the industry.At AXIS, we believe that we are only as strong as our people. We strive to create an inclusive and welcoming culture where employees of all backgrounds and from all walks of life feel comfortable and empowered to be themselves. This means that we bring our whole selves to work. All qualified applicants will receive consideration for employment without regard to any protected characteristic, including age, color, disability, ethnicity, gender identity, marital status, national origin, pregnancy, race, religion, sex, sexual orientation, veteran status, or any basis prohibited by the laws that govern its operations.What will you do in this role?To act as key support to The Head of Underwriting Governance, Execution and the development of Underwriting strategy.Support with the implementation and management of the Group’s underwriting governance framework, including implementing a consistent referral framework and provide oversight of the post-bind review of underwriting framework.Lead the ongoing oversight and management of updates to the Group’s underwriting governance framework, notably including aligning underwriting guidelines to annual business plans.Assist in implementation of changes to underwriting strategies to ensure continuous alignment with plans, wider AXIS objectives or in response to market developments.Support with the design, development and implementation of new underwriting strategies across the group.Work closely with underwriting teams and the CUO function to identify emerging underwriting trends and formulate action plans to remediate issues.Develop, manage, and coordinate high‑quality executive‑level materials, including decision memos, presentations, briefing notes, and dashboards, to support effective CUO and senior leadership decision‑making.Provide structured decision support by synthesizing complex qualitative and quantitative information into clear recommendations, scenario analyses, and trade‑off assessments.Leverage data analytics and artificial intelligence–enabled tools to enhance underwriting oversight, portfolio monitoring, trend identification, and governance reporting.Partner with data, technology, and analytics teams to identify opportunities where machine learning, automation, or generative AI can improve underwriting execution, governance efficiency, and insight generation.You may also be required to take on additional duties, responsibilities and activities appropriate to the nature of this role.What you need to have:The suitable candidate will have at least 10 years of experience in a technical role in commercial lines (re)insurance.Bachelor’s or advanced degree in a highly analytical subject.Professional experience in (re)insurance industry performance and/or governance management role(s).Experience in building strong and effective relationships with colleagues and leadership with a proven ability to win confidence of business partners and influence outcomes.Experience in and perspective on best‑practice underwriting performance and governance management frameworks.Demonstrated ability to support senior executive decision‑making through structured analysis, clear narrative development, and concise communication.Experience working with data analytics platforms, management information, or decision‑support tools to inform underwriting or portfolio strategy.What we prefer you to have:Strong technical skills and attention to detail.Excellent verbal and written communication skills.Strong communication skills, with an ability to communicate complex concepts to all stakeholders across the organisation.Ability to plan effectively and prioritise workload.Ability to work independently.Advanced presentation skills, including the ability to design and deliver executive‑ready materials for Board, CUO, and senior leadership forums.Skills in modern analytics, visualization, or AI‑enabled tools (e.g., portfolio analytics, automation, generative AI assistants) applied in a governance, underwriting, or strategic context.Comfort operating at the intersection of underwriting, strategy, data, and technology while maintaining strong governance discipline and control standards.For this position, we currently expect to offer a base salary in the range of X to Y. Your salary offer will be based on an assessment of a variety of factors including your specific experience and work location. In addition, you will be offered competitive target incentive compensation, with awards based on overall corporate and individual performance. On top of this, you will be eligible for a comprehensive and competitive benefits package which includes medical plans for you and your family, health and wellness programs, retirement plans, tuition reimbursement, paid vacation, and much more. This posting is for an existing vacancy.SummaryLocation: London - ScalpelType: Full time

Company DescriptionWe’re the world’s leading sports technology company, at the intersection between sports, media, and betting. More than 1,700 sports federations, media outlets, betting operators, and consumer platforms across 120 countries rely on our know-how and technology to boost their business.Job DescriptionAre you a betting expert with an in-depth understanding of odds? Join our dynamic team as we revolutionize the sports betting industry.Due to some exciting growth here at Sportradar we are seeking a Trading Analyst with exceptional betting knowledge to join our MTS team in Central London. Our MTS (Managed Trading Service) is a liability management service for bookmakers and lotteries for both pre-match and live odds on Sports. The service delivers a complete risk management service for all events where odds are offered.As a Trading Analyst you will be responsible for the daily operation of Sportradar's Managed Trading Service.THE CHALLENGELive and breathe sports by reacting to information reaching betting markets.Real time monitoring of betting activity and risk management of client liabilities.Explore and interrogate betting data by analysing a growing global client base.Effective handling of betting operator queries.Deliver insights in management ready reports.Take ownership of improving betting performance.Conduct customer segmentation to validate machine learning outputs.Shape future ways of working by testing trading platforms.Request and quality assure new tools and features.ABOUT YOUStrong familiarity with a wide range of sports, especially those popular in UK, European, and US betting markets.Extensive knowledge of betting markets, odds structures, and risk management of core betting sports (UK, European and US).In-depth understanding of odds correlation between betting markets. Exceptional mathematical skills, with proficiency in Excel or SQL for odds analysis.Experience working in a similar role within sports or betting industry would be advantageous. Dependable decision-making skills when under a time pressure like the trading environment.Excellent communication skills – both written and verbal. Experience using data visualization tools.Ability to take immediate action in a fast-moving trading environment. An initiative-taking team player, able to work with new teams.Proficient in MS Office, specifically Word and Excel. Flexibility to work with shift-based patterns. To make sure that your profile aligns well with our team, please answer the following questions in your cover letter.What aspects of your current role or career path have motivated you to seek new opportunities, and what specifically attracts you to this position at Sportradar?What do you expect to be doing on a day to day basis as a Trading Analyst?Why do you think you are suited to this role? Please share about your sports betting experience: can you describe your experience with different types of bets and what types of sports do you primarily bet on?OUR OFFER:A collaborative environment with colleagues from all over the world (Offices in Europe, Asia and US) including various social events and teambuilding. Flexibility to manage your workday and tasks with autonomy. A balance of structure and autonomy to tackle your daily tasks. Vibrant and inclusive community, including Women in Tech and Pride groups which welcome all participants. Global Employee Assistance Programme. Calm and Reulay app (leading well-being apps designed to support focus, quality rest, mindfulness, and long-term mental resilience). Online training videos. Sports 24/7. If you like sports, we’ve got TVs streaming live footage of the world’s biggest events! Private health care and a company pension plan together with Gym Membership scheme. Additional InformationAt Sportradar, we celebrate our diverse group of hardworking employees. Sportradar is committed to ensuring equal access to its programs, facilities, and employment opportunities. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. We encourage you to apply even if you only meet most of the requirements (but not 100% of the listed criteria) – we believe skills evolve over time. If you’re willing to learn and grow with us, we invite you to join our team!SummaryType: Full-timeFunction: EngineeringExperience level: AssociateIndustry: Sports

BMI is currently seeking a Data Scientistbased out of our London, or Manchester BMI's systematic, independent, and data-driven market insights, analysis and forecasts enable customers to recognize and assess risks and opportunities across markets and industries. For almost 40 years, we have provided impartial views to support our customers’ strategic plans and investment decisions. At BMI, we’re proud of the work we do to help our clients manage risks and opportunities in global markets, which began in 1984 and continues to this day. By stepping into a role here, you will help shape the strategic decisions of the world’s leading organizations. As a member of our team, your role will go beyond conventional boundaries. You will collaborate with industry experts, thought leaders, and visionary executives, collectively working towards shaping the future of businesses that span a multitude of sectors. Our people are at the heart of everything we do, and we continuously strive to offer our colleagues a great place to work, with opportunities to learn, innovate, develop their careers, and serve the community.Want to learn more about a career at BMI? Visit: About the Team BMI's team integrates cross-domain expertise (Economics, Politics, 20+ industries, ESG, Commodities) and computer science to create systematic country risk analytics that are transparent and can be validated. We build and maintain robust models that our customers use to identify and manage country risks.Joining as a Data Scientist to support risk research and analysis, you will help shape the strategic decisions of the world’s leading organizations. Candidates will have the opportunity to explore, analyze, and write about our proprietary risk data for different use cases and aid in product development. As a member of our team, your role will go beyond conventional boundaries. You will collaborate with experts across risk management and other domains.As a Data Scientist, you will design, build, and deploy quantitative models that power advanced analytics and insights for our clients. You will work closely with country analysts, industry analysts, economists, political scientists, data scientists, and backend developers to deliver interpretable, scalable solutions. Your expertise will help us innovate and adapt our modeling frameworks to address diverse customer needs in a fast-paced, collaborative environment.How You’ll Make an Impact:Prototype and test new approaches for extracting insights from structured and unstructured data for our core customer base – Corporates, Banks, Professional Services, and Asset ManagersDevelop and maintain robust ML and data pipelines for experimentation and deployment.Design, build, and optimize risk models for analytics and generative AI applications using our proprietary NLP data generation process.Collaborate cross functionally with Economists, Industry Analysts, Political Scientists, and Developers.Explain ML/NLP model outputs and methodologies to non-technical stakeholders.You May be a Good Fit if:Substantial experience querying, cleaning, compiling, and analyzing big data.Strong appreciation of software engineering fundamentals such as code quality, code reviews, unit testing and developing code that is supportable and maintainable.Experience of developing quantitative models under source control that are fully documented and reproducible.Familiarity applying various computational social science methods including data mining, data visualization, natural language processing, text analysis, and basic time series forecasting and machine learning models.Familiarity with scenario analysis/stress-testing, simulation analysis, rare event modeling, and stochastic modeling preferred but not required.Substantial experience with Python, R, and relevant libraries (e.g., numpy, pandas, scikit, pytorch, tidyverse, caret, ggplot, etc.).Proven experience developing, refining, and monitoring NLP models.Familiarity with database management tools and techniques (e.g., SQL, Selenium, S3, Sagemaker, API protocols) is preferred but not required.Understanding model evaluation methods and metrics.Ability to operationalize non-technical ideas into relevant research designs, features, and model outputs.Familiarity with experiment tracking and model management tools (e.g., DVC, Weights & Biases).Demonstrated experience with interpretable AI techniques.What Would Make You Stand Out:Degree in a quantitative subject (e.g. mathematics, physics, engineering or data science)Experience of working as a developer in a corporate environment and production support experience.Exposure to different cloud-based data and analytics platforms (e.g. AWS, DataBricks, Snowflake).Advanced degree or certification in NLP, ML, or related fields.Familiarity with DevOps practices and tools.Hands-on experience with experimentation and model tracking tools (e.g., MLFlow, Weights & Biases).Demonstrable impact of technical solutions or projects on decision-makingExperience working in fast-paced, agile environments.Customer-facing experience, notably in understanding end user needs and building collaborative relationships.Why Choose Fitch:Hybrid Work Environment: 3 days a week in office required A Culture of Learning & Mobility: Dedicated trainings, leadership development and mentorship programs designed to ensure that your time at Fitch will be a continuous learning opportunityInvesting in Your Future: Retirement planning and tuition reimbursement programs that empower you to achieve your short and long-term goalsPromoting Health & Wellbeing: Comprehensive healthcare offerings that enable physical, mental, financial, social, and occupational wellbeingSupportive Parenting Policies: Family-friendly policies, including a generous global parental leave plan, designed to help you balance career and family life effectivelyInclusive Work Environment: A collaborative workplace where all voices are valued, with Employee Resource Groups that unite and empower our colleagues around the globeDedication to Giving Back: Paid volunteer days, matched funding for donations and ample opportunities to volunteer in your communityFitch is committed to providing global securities markets with objective, timely, independent, and forward-looking credit opinions. To protect Fitch’s credibility and reputation, our employees must take every precaution to avoid conflicts of interest or any appearance of a conflict of interest. Should you be successful in the recruitment process at Fitch Ratings you will be asked to declare any securities holdings and other potential conflicts prior to commencing employment. If you, or your immediate family, have any holdings that may conflict with your work responsibilities, you may be asked to divest yourself of them before beginning work.Fitch is proud to be an Equal Opportunity and Affirmative Action Employer. We evaluatequalified applicants without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, disability, protected veteran status, and other statuses protected by law. #LI-Solutions#LI-hybrid

\n Senior Financial Systems Manager \n Full-time | Hybrid | London, United Kingdom \n \n Role Overview \n A leading global law firm is seeking a Senior Financial Systems Manager to oversee the functional management of its financial information systems. We are seeking a front and back-end finance systems specialist responsible for ensuring correct implementation, driving proficient system use across teams through training, maintaining robust security, overseeing testing and upgrades, safeguarding data accuracy, troubleshooting issues, and leading on finance-technology projects. \n \n The successful candidate will act as the key liaison between Finance and IT, managing vendor relationships, coordinating system upgrades, and leading technology-driven projects that enhance the firm's financial operations. \n \n Key Responsibilities \n\n • Lead and manage projects through the full system development life cycle, ensuring deliverables meet business needs.\n, • Collaborate with Finance to define requirements, conduct needs analysis, and implement solutions.\n, • Develop and document project specifications and business processes to streamline workflows and improve productivity.\n, • Update, test, and repair existing software systems, proposing innovative solutions to enhance functionality.\n, • Provide analysis and documentation for system design and implementation.\n, • Develop and execute test strategies, tools, and systems.\n, • Oversee and safely introduce system modifications, maintaining data integrity and audit trails.\n, • Act as liaison between Finance, Technology, and external vendors/consultants.\n, • Stay current with emerging technologies that support and enhance financial operations.\n\n \n Role Requirements \n\n • Bachelor's degree in Accounting, Finance, or Information Systems.\n, • PMP certification preferred.\n, • Extensive law firm finance systems experience.\n, • Strong understanding of accounting principles, financial analysis, and systems integration.\n, • Advanced MS Office skills, including Excel VBA; experience with SQL (SSRS), Power BI, and relational databases.\n, • Experience with financial data systems and data visualization tools.\n\n \n Due to the high volume of applications, we are not able to respond to all enquiries. If you have not received a response within 72 hours, please assume you have not been shortlisted at this stage, however thank you for taking the time to apply. \n Ryder Reid Legal is a recruitment specialist. For over thirty years we've been connecting legal talent with many of the leading law firms in London and internationally. Follow our LinkedIn page for the latest vacancies. \n \n

About the teamElsevier’s mission is to help researchers, clinicians, and life sciences professionals advance discovery and improve health outcomes through trusted content, data, and analytics.This role sits within Elsevier’s Platform Data Science organization, a centralized AI and data science group responsible for advancing intelligent discovery, retrieval, and generative AI capabilities across Elsevier products and platforms. The organization develops foundational AI technologies that power experiences such as LeapSpace, Elsevier’s AI-powered research assistant, as well as Elsevier’s broader Search & AI Platform.The Platform Data Science organization works at the intersection of:Search and retrieval systemsGenerative AI and LLM applicationsAI evaluation and experimentationSemantic enrichment and knowledge systemsScalable AI platforms and intelligent workflowsAbout the roleWe are looking for a Data Scientist III to help design, build, and evaluate advanced AI capabilities supporting LeapSpace and Elsevier’s Search & AI Platform initiatives. This role focuses on applied AI development, retrieval systems, and AI evaluation, helping bring cutting-edge AI technologies into production experiences used by researchers worldwide.You will work closely with senior data scientists, engineers, product managers, and domain experts across retrieval systems, generative AI, reasoning workflows, evaluation frameworks, and experimentation, contributing to the next generation of AI-powered scientific discovery tools.This role is ideal for someone with hands-on experience in applied AI, NLP, information retrieval, and LLM-based applications, who enjoys building innovative solutions and translating emerging AI techniques into impactful product capabilities.Key responsibilitiesApplied AI & ResearchDevelop and improve LLM-powered research workflows, including:Scientific question answeringLiterature summarizationSemantic exploration and discoveryResearch insight generationCitation-aware retrieval and reasoning workflowsBuild and iterate on agentic and multi-step AI workflows using frameworks such as LangGraph and related orchestration tools.Apply modern techniques in:NLPGenerative AIEmbeddings and semantic representationsRetrieval-augmented generation (RAG)AI reasoning and workflow orchestrationEvaluate emerging AI models, tools, and frameworks and contribute recommendations for experimentation and adoption.Contribute to prompt engineering, grounding strategies, context management, and hallucination mitigation efforts.Support integration of scientific metadata, ontologies, and knowledge assets into AI-powered workflows.Search, Retrieval & RAG SystemsDesign, develop, and optimize search and retrieval pipelines, including lexical, vector, and hybrid retrieval approaches.Contribute to the development and enhancement of RAG systems that integrate LLMs with trusted scientific and biomedical content.Experiment with embeddings, re-ranking models, chunking strategies, and retrieval orchestration techniques to improve relevance and answer quality.Support development of semantic search, ranking, and knowledge discovery capabilities.Collaborate with engineering teams to deploy and scale AI-powered solutions.AI Evaluation & ExperimentationDevelop and apply evaluation frameworks for search and AI systems, including:IR metrics (e.g., NDCG, recall, precision)LLM and RAG evaluation metrics (e.g., grounding, faithfulness, hallucination detection)Build and maintain evaluation datasets, benchmark suites, and annotation workflows.Conduct offline experiments and contribute to online experimentation and A/B testing.Analyze experimental results and communicate findings to stakeholders.Contribute to responsible AI practices focused on quality, reliability, and trust.Cross-functional CollaborationPartner with product managers, engineers, UX researchers, and domain experts to deliver AI-powered capabilities.Communicate technical findings and recommendations clearly to both technical and non-technical audiences.Contribute to knowledge sharing and adoption of best practices across the Platform Data Science organization.Support delivery of projects from research and experimentation through production deployment.Required qualificationsMaster’s or PhD in Computer Science, Data Science, Machine Learning, NLP, Information Retrieval, or a related fieldExperience in data science, machine learning, applied NLP, information retrieval, generative AI, or a related fieldHands-on experience with:LLM-based applications and generative AI systemsRAG pipelines and retrieval systemsSearch and retrieval architectures (lexical, vector, hybrid)Evaluation methodologies for IR and generative AI systemsStrong programming skills in PythonExperience with modern AI/ML frameworks and tooling (e.g., PyTorch, Hugging Face, LangChain, LangGraph, Haystack)Experience working with Databricks or similar distributed data and machine learning platformsUnderstanding of experimentation methodologies, evaluation frameworks, and statistical analysisProficiency with data visualization and analytical tooling (e.g., Tableau, Power BI, matplotlib, seaborn)Demonstrated ability to independently execute technical projects and contribute to cross-functional initiativesPreferred qualificationsExperience building AI assistants, agentic workflows, or conversational AI applicationsExperience working on search, ranking, recommendation, or retrieval systemsFamiliarity with scientific, biomedical, or scholarly datasetsExperience with knowledge graphs, ontologies, or semantic enrichment systemsExposure to production ML systems and MLOps practicesAcademic or industry research experience in NLP, information retrieval, search, or generative AIExperience working in content-rich, knowledge-intensive, or highly regulated domainsWorking for youWe know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Comprehensive Pension Plan Home, office, or commuting allowance. Generous vacation entitlement and option for sabbatical leave Maternity, Paternity, Adoption and Family Care leave Flexible working hours Personal Choice budget Internal communities and networks Various employee discounts Recruitment introduction reward Employee Assistance Program (global) About the businessAs a global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education, and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world’s grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here.Please read our Candidate Privacy Policy.We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.USA Job Seekers:EEO Know Your Rights.SummaryLocation: London WallType: Full time

Market Risk Analytics & Reporting (A&R) is a group within Risk Engineering in the Risk Division of Goldman Sachs. The group ensures the firm’s senior leadership, investors and regulators have a complete view of the positional, market, and client activity drivers of the firm’s market risk profile allowing them to take actionable and timely risk management decisions.Risk Engineering is a multidisciplinary group of quantitative experts who are the authoritative producers of independent risk & capital metrics for the firm. Risk Engineering is responsible for modeling, producing, reviewing, interpreting, explaining and communicating risk & capital metrics and analytics used to ensure the firm adheres to its Risk Appetite and maintains the appropriate amount of Risk Capital. Risk Engineering provides risk & capital metrics, analytics and insights to the Chief Risk Officer, senior management, regulators, and other firm stakeholders.Role ResponsibilitiesA&R delivers critical regulatory and risk metrics & analytics across risk domains (market, credit, liquidity, operational, capital) and firm activities via regular reporting, customized risk analysis, systematically generated risk reporting and risk tools. This role will focus on Market Risk.A&R has a unique vantage point in the firm’s risk data flows that, when coupled with a deep understanding of client and market activities, allows it to build scalable workflows, processes and procedures to deliver actionable risk insights. The following are core responsibilities for A&R:Delivering regular and reliable risk metrics, analytics & insights based on deep understanding of the firm’s businesses and its client activities.Building robust, systematic & efficient workflows, processes and procedures around the production of risk analytics for financial & non-financial risk, risk capital and regulatory reporting.Attesting to the quality, timeliness and completeness of the underlying data used to produce these analytics.Qualifications, Skills & Aptitude Eligible candidates are preferred to have the following:Masters or Bachelors degree in a quantitative discipline such as data science, mathematics, physics, econometrics, computer science or engineering.Entrepreneurial, analytically creative, self-motivated and team-oriented.Excellent written, verbal and team-oriented communication skills.Working knowledge of the financial industry, markets and products and associated non-financial risk.Working knowledge of mathematics including statistics, time series analysis and numerical algorithms.Experience with programming in Python and SQL for extract transform load (ETL) operations and data analysis (including performance optimization). Experience in using languages such as R, Java, C++ is beneficial.Experience in developing data visualization and business intelligence solutions using tools such as, but not limited to, Tableau, Alteryx, PowerBI, and front-end technologies and languages.2-5 years of experience, preferably in financial, regulatory or consulting environmentAbout Goldman SachsAt Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has several opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers. We’re committed to finding reasonable accommodation for candidates with special needs or disabilities during our recruiting process. Learn more: Posting Date: 2026-08-14

Who We AreVML, part of WPP, is a leading creative company that combines brand experience, customer experience, and commerce, creating connected brands to drive growth. VML is celebrated for its innovative and human first, award-winning work for blue chip client partners including AstraZeneca, Colgate-Palmolive, Dell, Ford, Microsoft, Nestlé, The Coca-Cola Company, and Wendy's. The agency is recognized by the Forrester Wave Reports, as a Leader among Marketing Creative and Content Service Providers, Commerce Services, Global Digital Experience Services, Global Marketing Services and, most recently, Marketing Measurement & Optimization. In addition, VML’s specialist health network, VML Health, is one of the world’s largest and most awarded health agencies. VML’s global network is powered by 26,000 talented people across 55+ markets, with principal offices in Kansas City, New York, Detroit, London, São Paulo, Shanghai, Singapore, and Sydney.About WPPWPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. For more information, visit WPP.com..Who we’re looking for:We're seeking a highly collaborative, flexible and enthusiastic Data Planning Manager to join the team who has experience in supporting measurement and budget optimisation, test and learn opportunities, identification of data signals across the journey that can be used to inform audience targeting and media flighting and holistic campaign and always on performance reporting across owned and earned channels and platform.What you’ll be doing:You will utilise measurement tools, attribution models, and media mix modelling to produce insightful, actionable campaign reports and optimisation recommendations in conjunction with the media strategists and analytics teams Working with Data Scientists, Analysts, and BI specialists to create dashboards and integrate diverse data sources to enable holistic measurement. Support the development of client briefs into cross-channel digital media plans by identifying data signals across the customer journeys to inform audience targeting and media flighting Utilising data to add context and deeper insights to reporting and ensure analysis is connected back to the overarching measurement framework, targets and benchmarks – always bringing the ‘so what?’ Building strong relationships with client stakeholders and internal VML & WPP teams to promote, develop, and manage data and analysis deliverables. Acting as a trusted advisor to clients on all data-related matters, enabling data-driven decision-making. Presenting regularly to clients and attending client meetings. Managing a Senior Data Planner to develop their craft in the same areas What you’ll need:7+ years of experience in a data function, preferably within an agency environment or a similar role with transferable skills. Strong understanding of media measurement, data principles and the digital marketing landscape Proven ability to manage projects and work effectively within cross-functional teams. Excellent communication, organisation, proposal writing, and presentation skills. Ability to explain complex technical data concepts in a clear and concise manner to non-technical audiences. Strategic thinking and analytical skills, with a high level of numeracy. Proficiency in Excel and other data analysis tools. Familiarity with Ad tech (DSP/ DMP), Data clean rooms and privacy safe solutions. Knowledge of attribution, experimentation and MMM measurement techniques Experience with website analytics and personalisation/testing tools (e.g., Google Analytics, Amplitude). Experience with data visualization tools (e.g., Tableau, Power BI) is beneficial. A proactive, curious, and collaborative approach, with a willingness to learn and push boundaries. A passion for data and its potential to drive business impact. At VML, we are committed to fostering an all-inclusive work environment that is both rewarding and career-forward. Our Inclusion, Equity & Belonging initiatives, alongside the VML Foundation, reflect our dedication to giving back and making a positive impact in our communities and beyond. Our people are the heartbeat of our organization—creators, doers, innovators, makers, and thinkers—who drive not just marketing, but meaningful experiences that resonate in every action and interaction. VML is a WPP Agency. For more information, please visit our website, and follow VML on our social channels via Instagram, LinkedIn, and X.When you click "Submit Application", this will send any information you add below to VML. Before you do this, we think it's a good idea to read through our Recruitment Privacy Policy. California residents should read our California Recruitment Privacy Notice. This explains what we do with your personal data when you apply for a role with us, and, how you can update the information you have provided us with or how to remove it.Who we are:At VML, we are a beacon of innovation and growth in an ever-evolving world. Our heritage is built upon a century of combined expertise, where creativity meets technology, and diverse perspectives ignite inspiration. With the merger of VMLY&R and Wunderman Thompson, we have forged a new path as a growth partner that is part creative agency, part consultancy, and part technology powerhouse. Our global family now encompasses over 30,000 employees across 150+ offices in 64 markets, each contributing to a culture that values connection, belonging, and the power of differences. Our expertise spans the entire customer journey, offering deep insights in communications, commerce, consultancy, CRM, CX, data, production, and technology. We deliver end-to-end solutions that result in revolutionary work. We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office an average of four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.WPP (VML) is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers. VML is a WPP agency (NYSE: WPP). For more information, please visit , and follow along on Instagram, LinkedIn, and X.When you click "Submit Application", this will send any information you add below to VML. Before you do this, we think it's a good idea to read through our Recruitment Privacy Policy. California residents should read our California Recruitment Privacy Notice. This explains what we do with your personal data when you apply for a role with us, and, how you can update the information you have provided us with or how to remove it.

Job DescriptionDo you have passion for headcount planning, strategic workforce insights and people analytics? We are looking for an enthusiastic individual who is passionate for Analytics, Planning and Insights. Our People Planning & Analytics team is seeking a passionate new colleague to join us in delivering strategic people insights and analytics that support decision-making across the People, Place & Culture organization. This role will help drive data-informed thinking through HR analytics, workforce insights, storytelling, and optimization of our people technology platforms.Please note: This role is an individual contributor role and we do not support relocation.Core ResponsibilitiesServe as a subject matter expert across People Analytics domains, translating business needs into scalable analytics solutions and strategic recommendations that support the LEGO Group’s people priorities. Monitor and analyze workforce trends, organizational changes, and people-related metrics to identify risks, opportunities, and areas for improvement. Build strong relationships with business leaders, HR partners, and cross-functional stakeholders to ensure analytics solutions align with business priorities and colleague needs. Partner closely with People, Digital, and Finance teams to develop and evolve analytics capabilities, pilots, and data-driven solutions that support strategic workforce and organizational priorities. Develop impact assessments and actionable insights related to workforce trends, organizational effectiveness, talent, and colleague experience. Summarize complex data and insights into clear presentations and storytelling materials for a broad range of audiences, including senior leadership and operational teams. Collaborate across functions to provide strategic analytics recommendations and support evidence-based decision-making. Stay up to date with emerging trends, technologies, and best practices in People Analytics, workforce planning, and data-driven HR decision-making. Support additional analytics initiatives and responsibilities as requiredPlay your part in our team succeedingYou will join a highly dynamic team that focuses on delivering high-quality insights - and we know that the best way to do that is by ensuring continuous learning while having fun. Therefore, you will get plenty of responsibility combined with great team spirit. You will have plenty of opportunities to apply and share your knowledge and through engaging with HR professionals from across the LEGO Group, you will quickly gain a valuable LEGO network.Do you have what it takes?The ideal candidate brings solid experience within analytics, preferably people analytics, from a larger global matrix organization. You are comfortable working with complex people data to deliver valuable insights and recommendations based on your findings. In addition, we expect that you bring:Hands-on experience working with systems, tools and automation to lead effect headcount process A proactive mindset to deliver value and work independently interacting with many different stakeholdersSome experience with forecasting systems and visualization tools as well as tools such as Databricks, Power BI, advanced Excel and other analytical tools Excellent communication skills and advanced proficiency in English in both speech and writing Interest HR systems – possibly you have experience within utilization of cloud-based platforms Strong communication and advanced proficiency in English in both speech and writing As a person, you show attention to details, good time management skills and great stakeholder engagement.Applications are reviewed on an ongoing basis. However, please note we do amend or withdraw our jobs and reserve the right to do so at any time, including prior to any advertised closing date. So, if you're interested in this role we encourage you to apply as soon as possible.What’s in it for you?Here is what you can expect:Family Care Leave - We offer enhanced paid leave options for those important times.Insurances – All colleagues are covered by our life and disability insurance which provides protection and peace of mind.Wellbeing - We want our people to feel well and thrive. We offer resources and benefits to nurture physical and mental wellbeing along with opportunities to build community and inspire creativity.Colleague Discount – We know you'll love to build, so from day 1 you will qualify for our generous colleague discount.Bonus - We do our best work to succeed together. When goals are reached and if eligible, you'll be rewarded through our bonus scheme.Workplace - When you join the team you'll be assigned a primary workplace location i.e. one of our Offices, stores or factories. Our hybrid work policy means an average of 3 days per week in the office. The hiring team will discuss the policy and role eligibility with you during the recruitment process.Children are our role models. Their curiosity, creativity and imagination inspire everything we do. We strive to create a diverse, dynamic and inclusive culture of play at the LEGO Group, where everyone feels safe, valued and they belong.The LEGO Group is highly committed to equal employment opportunity and equal pay and seeks to encourage applicants from all backgrounds (eg. sex, gender identity or expression, race/ethnicity, national origin, sexual orientation, disability, age and religion) to apply for roles in our team.The LEGO Group is fully committed to Children’s Rights and Child Wellbeing across the globe. Candidates offered positions with high engagement with children are required to take part in Child Safeguarding Background Screening, as a condition of the offer.Thank you for sharing our global commitment to Children’s Rights.Just imagine building your dream career.Then make it real.Join the LEGO team today.SummaryLocation: LondonType: Full time

About the team \n Elsevier’s mission is to help researchers, clinicians, and life sciences professionals advance discovery and improve health outcomes through trusted content, data, and analytics. As the landscape of science and healthcare evolves, we are pioneering intelligent discovery experiences — from Scopus AI and LeapSpace to ClinicalKey AI, PharmaPendium, and next-generation life sciences platforms. These products leverage retrieval-augmented generation (RAG), semantic search, and generative AI to make knowledge more discoverable, connected, and actionable across disciplines. The Search & AI Evaluation team sits within the Platform Data Science organization and is responsible for advancing enterprise-scale search, retrieval, and evaluation capabilities across Elsevier's global products. \n \n About the role \n We are looking for a Senior Data Scientist I to lead the development and evaluation of advanced search and generative AI systems. You will own complex problem areas end-to-end, drive methodological rigor in evaluation, and contribute to the technical direction of retrieval and RAG systems. \n \n This role is ideal for someone with deep hands-on experience in search/retrieval systems, RAG pipelines, and evaluation frameworks, who is ready to operate as a senior individual contributor with growing technical leadership responsibilities. \n \n Key responsibilities \n Search & Retrieval Development \n\n • Play a leading role in the design and optimization of lexical, vector, and hybrid retrieval systems at scale.\n, • Help architect and improve RAG pipelines, including retrieval strategies, prompt design, and system orchestration (e.g., LangGraph-based workflows).\n, • Help drive experimentation with embeddings, re-ranking models, and retrieval architectures to significantly improve relevance and user outcomes.\n, • Partner with engineering to ensure robust, scalable, and production-ready implementations.\n\n \n Evaluation & Experimentation \n\n • Help define and evolve evaluation strategies for search and generative AI systems across products.\n, • Help design robust frameworks for:\n, • IR evaluation (e.g., NDCG, recall, ranking quality)\n, • GenAI evaluation (e.g., grounding, faithfulness, hallucination detection)\n, • Contribute to development of evaluation datasets, gold standards, and annotation strategies.\n, • Guide and review experimental design, including offline evaluation and A/B testing, ensuring statistical rigor and validity.\n, • Contribute to responsible AI practices, including bias, fairness, and risk evaluation\n\n \n Generative AI & Applied Research \n\n • Apply and adapt state-of-the-art techniques in NLP, embeddings, and generative AI to production use cases.\n, • Evaluate and integrate emerging technologies into the team’s roadmap.\n, • Contribute to knowledge graph and semantic enrichment efforts that support retrieval systems.\n\n \n Domain & Research Integration \n\n • Collaborate with domain experts, ontology engineers, and biomedical informaticians to integrate scientific taxonomies, citation networks, and clinical ontologies into retrieval systems.\n, • Incorporate structured data — including datasets, chemical entities, genes, drugs, clinical trials, and patient outcomes — into AI-powered discovery pipelines.\n, • Advance Elsevier’s knowledge graph and metadata integration strategy, linking research and health data for more context-aware retrieval.\n, • Apply cutting-edge research in information retrieval, NLP, embeddings, and generative AI to continuously evolve Elsevier’s discovery and evaluation stack.\n\n \n Collaboration & Delivery \n\n • Work closely with product, engineering, and domain experts to define and deliver impactful solutions.\n, • Communicate findings and recommendations clearly to both technical and non-technical stakeholders.\n, • Take ownership of projects from problem definition through experimentation and deployment.\n\n \n Required qualifications \n\n • Master’s or PhD in Computer Science, Data Science, Machine Learning, or a related field (or equivalent practical experience)\n, • Experience in data science, machine learning, or applied NLP\n, • Strong hands-on experience with:\n, • Search and retrieval systems (lexical, vector, hybrid)\n, • RAG pipelines and LLM-based systems\n, • Evaluation methodologies for ML / IR / GenAI\n, • Advanced programming skills in Python\n, • Experience with modern ML/NLP frameworks (e.g., PyTorch, Hugging Face, LangChain, LangGraph, Haystack)\n, • Experience working with Databricks or similar distributed data/ML platforms\n, • Strong understanding of experimentation design and statistical analysis\n\n \n Preferred qualifications \n\n • Batchelor's, Masters, PhD in Computer Science, Data Science, Machine Learning, or a related field\n, • Experience working with large-scale datasets (scientific, biomedical, or enterprise data)\n, • Familiarity with scientific ontologies and metadata standards (e.g., MeSH, UMLS, ORCID, CrossRef)\n, • Exposure to production ML systems and MLOps practices\n, • Familiarity with data visualization and analytical tooling (e.g., Tableau, Power BI, matplotlib, seaborn, or similar) to communicate insights effectively\n, • Experience with human-in-the-loop evaluation or annotation workflows\n, • Publications or demonstrated applied research in IR, NLP, or generative AI\n\n \n Why join us? \n Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to advance your career and make a significant impact, we encourage you to apply. \n \n Work in a way that works for you \n We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. \n\n • Flexible working hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.\n\n \n Working for you \n We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: \n\n • Holiday allowance with the option to buy additional days\n, • Health screening, eye care vouchers and private medical benefits\n, • Life assurance, plus optional additional life cover and spouse's life cover at own cost\n, • Access to a competitive contributory pension scheme\n, • Save As You Earn share option scheme\n, • Access to optional self funded benefits, including electric vehicle scheme, cycle to work scheme, dental insurance, critical illness cover, health cash plan, personal travel insurance\n, • Travel season ticket loan\n, • Paid time off when you become a parent, and paid time off for carers\n, • Support for personal and work-related challenges\n, • Access to emergency care for both the elderly and children\n, • Time off to support the charities and causes that matter to you\n, • Awards to recognize key service milestones\n\n \n About the business \n As a global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education, and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world’s grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world.

About the team: Elsevier’s mission is to help researchers, clinicians, and life sciences professionals advance discovery and improve health outcomes through trusted content, data, and analytics. As the landscape of science and healthcare evolves, we are pioneering intelligent discovery experiences — from Scopus AI and LeapSpace to ClinicalKey AI, PharmaPendium, and next-generation life sciences platforms. These products leverage retrieval-augmented generation (RAG), semantic search, and generative AI to make knowledge more discoverable, connected, and actionable across disciplines. \n \n The Search & AI Evaluation team sits within the Platform Data Science organization and is responsible for advancing enterprise-scale search, retrieval, and evaluation capabilities across Elsevier's global products. \n \n About the role: We are looking for a Senior Data Analyst to lead analytics and evaluation efforts for search and retrieval systems. You will own key analytical workflows, define measurement strategies, and generate insights that directly improve ranking quality, relevance, and user experience. \n This role is ideal for someone with deep experience in search analytics, experimentation, and data visualization, who can operate with high autonomy and influence decision-making across cross-functional teams. \n \n Responsibilities: \n Search Evaluation & Analytics \n\n • Perform a leading role in analysis of search and retrieval system performance, including ranking quality and relevance.\n, • Help define and standardize search evaluation metrics (e.g., NDCG, MAP, recall, precision, CTR).\n, • Analyze query behavior, user interaction signals, and content performance to identify optimization opportunities.\n, • Conduct deep-dive analyses on ranking performance, query intent, and retrieval gaps.\n, • Support evaluation of downstream applications (including GenAI-powered features) where they depend on retrieval quality.\n\n \n Experimentation & Reporting \n\n • Help design and lead A/B testing and experimentation frameworks for search and ranking improvements.\n, • Partner with product and data science to define success metrics and experiment strategies.\n, • Ensure statistical rigor in experiment design, analysis, and interpretation.\n, • Build reusable experimentation templates and scalable analysis workflows.\n\n \n Data Visualization & Communication \n\n • Own and evolve dashboards and reporting systems tracking search performance and user engagement.\n, • Develop clear, actionable data storytelling to communicate insights to technical and business stakeholders.\n, • Enable self-service analytics for partners through well-designed reporting tools.\n\n \n Data Management & Tooling \n\n • Work with large-scale datasets using modern platforms (e.g., Databricks, Spark, SQL-based systems).\n, • Ensure high standards for data quality, metric consistency, and instrumentation reliability.\n, • Collaborate with engineering to improve logging, tracking, and observability of search systems.\n\n \n Cross-functional Impact & Mentorship \n\n • Act as a key analytics partner to search data scientists, engineers, and product teams.\n, • Help elevate the team’s understanding of retrieval performance and measurement frameworks.\n\n \n Requirements: \n\n • Master’s or PhD in Data Analytics, Statistics, Computer Science, or a related field (or equivalent practical experience)\n, • Significant experience in data analysis, business intelligence, or analytics roles\n, • Proficiency in SQL and Python for large-scale data analysis\n, • Advanced experience with data visualization and BI tools (e.g., Tableau, Power BI, Looker, matplotlib, seaborn)\n, • Experience working with Databricks or similar large-scale data platforms\n, • Excellent understanding of experimentation design, A/B testing, and statistical analysis\n, • Experience defining and analyzing search/retrieval metrics (e.g., NDCG, recall, precision, ranking metrics)\n, • Proven ability to translate complex data into actionable insights and influence decisions\n\n \n Preferred qualifications \n\n • PhD in Data Analytics, Statistics, Computer Science, or a related field (or equivalent practical experience)\n, • Experience working on search, ranking, or recommendation systems\n, • Familiarity with information retrieval concepts (e.g., indexing, ranking, query understanding)\n, • Exposure to clickstream data, user behavior analytics, and event tracking systems\n, • Experience supporting evaluation of ML-based ranking or retrieval systems\n, • Familiarity with RAG systems or GenAI applications\n\n \n Why join us? \n Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to advance your career and make a significant impact, we encourage you to apply. \n \n Work in a way that works for you: \n We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. \n\n • Flexible working hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.\n\n \n Working for you \n We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: \n\n • Holiday allowance with the option to buy additional days\n, • Health screening, eye care vouchers and private medical benefits\n, • Life assurance, plus optional additional life cover and spouse's life cover at own cost\n, • Access to a competitive contributory pension scheme\n, • Save As You Earn share option scheme\n, • Access to optional self funded benefits, including electric vehicle scheme, cycle to work scheme, dental insurance, critical illness cover, health cash plan, personal travel insurance\n, • Travel season ticket loan\n, • Paid time off when you become a parent, and paid time off for carers\n, • Support for personal and work-related challenges\n, • Access to emergency care for both the elderly and children\n, • Time off to support the charities and causes that matter to you\n, • Awards to recognize key service milestones\n\n \n About the business \n As a global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education, and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world’s grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world.

Data Strategy Director - 6 month FTC \n \n The Director, Data Strategy reports to the SVP of Global Reporting and is responsible for executing the Global reporting roadmap, leading implementation of global reporting solutions across assigned brands or markets, and operationalizing the measurement framework day to day. \n \n This position requires both strategic and tactical skill sets with an eye for numbers, intellectual curiosity, proficiency at problem solving, and a critical understanding of media. The candidate must have a proven track record of leading the implementation of reporting dashboards across brands and markets. \n \n Successful candidates will be multi-dimensional, able to employ complex problem-solving skills, and able to communicate these succinctly to a broad client and media stakeholder audience. \n Analytics, Insights, Data, Technology and Innovation (DTAI) subject matter experts are a vital part of the client team. They function as expert technical points of escalation, analytical problem solvers and technical translators to internal account teams and clients, and support the SVP in delivering strategic account direction/vision for technology, process and digital reporting/insights. \n \n Role Objectives: \n The successful candidate will have experience and expertise in how to intersect consulting skills, data, advanced analytics and marketing strategy to drive and improve clients' business results. \n\n • Manage day-to-day operation of the global reporting dashboard for assigned brands/markets, acting as primary POC and first-line escalation point, partnering with the SVP on cross-market issues\n, • Support global reporting network management, ensuring consistency and alignment across regional teams\n, • Build and maintain strong relationships with internal stakeholders and client groups\n, • Champion a culture of 'always on' data-driven decision making, helping institutionalize the use of consumer-driven analytics in media/marketing investment planning\n, • Manage data integrations utilizing taxonomy nomenclature and make recommendations for data visualization to showcase media performance through the use of PowerBI, Datorama, or Tableau\n, • Lead a team to perform regular quality assurance/quality control checks on assigned client campaigns to ensure data is processing accurately\n, • Operationalize testing as it relates to ensuring taxonomy and necessary ad server/verification tracking has been applied\n, • Escalate systemic issues, resourcing needs, and roadmap risks to the SVP with clear recommendations\n\n \n Qualifications \n\n • Minimum 6–8 years cumulative experience within Media, Analytics, and related fields working at an advertising agency\n, • Experience leading and managing marketing technology projects from ideation through installation\n, • Experience with online advertising/media, channel marketing, strategic marketing, off-line advertising/media and/or consulting\n, • Experience working with international teams is a plus\n, • Strong project management skills\n, • Excellent presentation and communication skills\n, • Proficiency with Datorama, Tableau, or other data visualization tools is a plus\n, • Strong critical thinking and problem-solving skills\n, • Advanced written and verbal communication skills with the ability to communicate/translate complex concepts to a non-technical audience\n, • Client management/consultative experience\n, • Experience with media measurement tools including: 3rd party ad serving, syndicated research and web analytics\n, • Demonstrated expertise in core MS Excel functions (vlookup, pivot tables, data visualization)\n, • Experience designing jobs that can be promoted from one (Dev) environment to another (Test or Prod) seamlessly, without modification\n, • Working understanding of SSIS and ETL best practices within a MS SQL Server environment\n, • Familiarity with SSIS error handling, error propagation and email notification\n, • Exposure to statistical modeling software (MATLAB, R, SAS, SPSS, Python) and database tools (Amazon Web, SQL, MS Access, Excel PivotTables, MS SQL Server) a plus\n\n

Company Overview: \n \n \n \n Dar, the founding member of the Sidara group, is an international multidisciplinary consulting organization specializing in engineering, architecture, planning, environment, project management, facilities management, and economics. Sidara operates in 60 countries with 20,500 professionals, Dar connects people, places, and communities through innovative solutions to the world's most complex challenges. We deliver projects from inception through completion, embracing challenges to empower communities worldwide. Learn more at www.dar.com. \n \n \n \n We are hiring. \n \n We’re expanding our signature design team and are looking for Architectural Designers, Geometry / Façade Specialists, and Architectural Planners to join us in London. \n \n What we’re looking for \n\n • Significant experience\n, • Relevant signature design studio experience\n, • Strong design skills and expertise in complex geometry\n\n \n Architectural Designers \n Maya · Rhino / Grasshopper · Visualization tools \n \n Geometry / Façade Specialists \n Grasshopper or CATIA · C# · Python \n \n Architectural Planners \n\n • Aviation, civic, offices, residential, mixed-use, cultural, master planning, transportation, interiors\n, • Rhino · AutoCAD · Revit · Adobe Suite\n\n \n \n \n How to Apply \n \n We kindly request you to attach your portfolio (or a link to it if the file is too large) of your work within your updated CV to complete your application. \n \n Selected candidates will be invited to interview, where you will be expected to present your portfolio and talk through your career highlights and design approach. \n \n \n \n \n Competitive Salary along with impressive benefits package! \n \n \n • While we carefully review all applications, only candidates meeting the specified requirements will be contacted for further consideration. We appreciate your understanding and thank all applicants for their interest. \n \n Global Data Privacy Notice for Job Candidates \n\n • Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal”\n\n

Company Overview: \n \n Dar, the founding member of the Sidara group, is an international multidisciplinary consulting organization specializing in engineering, architecture, planning, environment, project management, facilities management, and economics. Sidara operates in 60 countries with 20,500 professionals, Dar connects people, places, and communities through innovative solutions to the world's most complex challenges. We deliver projects from inception through completion, embracing challenges to empower communities worldwide. Learn more at www.dar.com. \n \n \n About the Role \n \n We are seeking a highly experienced and forward-thinking Architectural Planner to lead the planning and conceptual development of complex architectural projects. This role blends strategic planning, advanced design thinking, and technical execution, requiring a professional who can challenge conventional approaches and deliver innovative, context-driven solutions. \n \n Architectural planners are responsible for coordinating design, planning, and regulatory integration across projects, working closely with multidisciplinary teams to ensure successful delivery from concept through execution. \n \n ⸻ \n \n Key Responsibilities \n • Lead the planning and conceptual design for a diverse portfolio of projects (mixed-use, infrastructure, or large-scale developments). \n • Develop innovative and unconventional planning strategies that respond to environmental, cultural, and economic contexts. \n • Translate client briefs into visionary spatial concepts, diagrams, and development frameworks. \n • Coordinate with architects, engineers, consultants, and stakeholders to align design intent with technical feasibility. \n • Oversee project planning from inception to completion, including feasibility studies, zoning analysis, and regulatory compliance . \n • Integrate sustainability, resilience, and smart-city principles into planning strategies. \n • Present ideas clearly through advanced visualizations, parametric models, and compelling narratives. \n • Mentor junior team members and contribute to design leadership within the studio. \n • Stay ahead of industry trends, emerging technologies, and global best practices. \n \n ⸻ \n \n Required Qualifications & Experience \n • Bachelor’s or Master’s degree in Architecture, or a related field. \n • Proven track record of delivering complex, large-scale projects and architectural planning. \n • Strong understanding of planning regulations, building codes, and environmental standards. \n • Experience working in international or multidisciplinary environments is highly desirable. \n \n ⸻ \n \n Technical Skills \n \n Candidates must demonstrate strong proficiency in industry-standard and advanced design tools, including: \n • AutoCAD \n • Revit (BIM workflows) \n • Rhino \n • Grasshopper (parametric design) \n • Maya (advanced modeling / visualization) \n • Additional tools (advantageous): GIS, Adobe Creative Suite, Lumion, V-Ray \n \n Modern architectural roles increasingly require expertise in BIM and digital design tools such as AutoCAD, Revit, and Rhino . \n \n ⸻ \n \n Core Competencies \n • Innovative Thinking: Ability to challenge conventions and propose bold, future-oriented planning solutions. \n • Design Leadership: Strong conceptual and spatial thinking with a clear design voice. \n • Analytical Skills: Ability to balance creativity with technical and regulatory constraints. \n • Collaboration: Excellent communication and coordination across disciplines. \n • Problem-Solving: Skilled at navigating complex planning and design challenges. \n • Attention to Detail: Ensuring precision in planning documentation and execution. \n \n ⸻ \n \n What Sets You Apart \n • A portfolio demonstrating experimental, parametric, or computational design approaches. \n • Experience integrating data-driven design, generative systems, or AI-assisted workflows. \n • Ability to think beyond traditional planning frameworks and redefine spatial strategies. \n \n ⸻ \n \n Why Join Us \n • Work on high-impact, visionary projects shaping future environments. \n • Be part of a design-led, innovation-driven studio culture. \n • Access to cutting-edge tools and opportunities for continuous professional development. \n \n \n \n How to Apply \n \n We kindly request you to attach your updated CV to complete your application. \n \n Selected candidates will be invited to send in their portfolio and then to interview. \n \n \n Competitive Salary along with impressive benefits package! \n \n \n • While we carefully review all applications, only candidates meeting the specified requirements will be contacted for further consideration. We appreciate your understanding and thank all applicants for their interest. \n \n Global Data Privacy Notice for Job Candidates \n\n • Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal”\n\n

Summary: \n \n The VP, HR Technology is responsible for overseeing the management, integration, and optimization of Human Resources systems and data operations within the organization. This role demands expertise in system design, data governance, and analytics to ensure that HR data and technology infrastructure aligns with the company's strategic goals. The VP, HR Technology collaborates with cross-functional teams to streamline processes, ensure data accuracy, provide actionable insights, and drive continuous improvement in HR processes, including the transition from UKG Pro to Oracle HCM. \n \n Responsibilities: \n\n • Oversee the HR tech stack (UKG, Oracle, Greenhouse, Payscale), including integrations and third-party touchpoints.\n, • Lead the design, implementation, and maintenance of HR systems to ensure efficiency and scalability.\n, • Collaborate with HR teams to identify and implement process improvements.\n, • Ensure seamless data flow and integration between systems.\n, • Manage system upgrades and troubleshoot technical issues.\n, • Develop risk control and data management policies, ensuring data security and compliance.\n, • Establish a robust data governance framework and ensure data integrity.\n, • Create and execute HR data analytics strategies to inform business decisions.\n, • Enhance HR metrics and analytics capabilities.\n, • Develop dashboards, reports, and visualizations to support decision-making.\n, • Identify optimization opportunities using data analysis tools.\n, • Lead technology platform changes as part of the HR Transformation Program.\n, • Manage a team of 2 and oversee UKG support partner activities.\n, • Collaborate with stakeholders to translate business requirements into technical solutions.\n, • Work with vendors and third-party providers to ensure effective service delivery.\n\n Required Skills: \n\n • Strong understanding of HR processes and systems, with direct experience in Oracle HCM.\n, • Experience with system integration and administration tools.\n, • Proficiency in data visualization tools (e.g., Power BI, Tableau).\n, • Knowledge of data governance frameworks and compliance standards.\n, • Excellent communication skills and attention to detail.\n, • Ability to manage multiple high-priority tasks and meet deadlines.\n\n Professional Qualifications/Certifications: \n\n • Bachelor’s degree in Computer Science, Information Systems, Data Science, or a related field (Master’s preferred).\n, • Minimum 10 years of experience in system management, data analysis, or a similar role.\n\n \n Our commitment to employees: \n At CLS, we celebrate inclusion and consider this to be one of our strongest assets. We are committed to fostering an environment in which everyone feels comfortable to be who they are, and inclusion is valued. All employees have access to our inclusive benefits, including: \n\n • Holiday - UK/Asia: 25 holiday days and 3 ‘life days’ (in addition to bank holidays). US: 23 holiday days.\n, • 2 paid volunteer days so that you can actively support causes within your community that are important to you.\n, • Generous parental leave policies to ensure you can enjoy valuable time with your family.\n, • Parental transition coaching programmes and support services.\n, • Wellbeing and mental health support resources to ensure you are looking after yourself, and able to support others.\n, • Employee Networks (including our Women’s Forum, Black Employee Network and Pride Network) in support of our organisational commitment to embrace and always be learning more about inclusivity.\n, • Hybrid working to promote a healthy work/life balance, enabling employees to work collaboratively in the office when needed and work from home when they don’t.\n, • Active support of flexible working for all employees where possible.\n, • Monthly ‘Heads Down Days’ with no meetings across the whole company.\n, • Generous non-contributory pension provision for UK/Asia employees, and 401K match from CLS for US employees.\n, • Private medical insurance and dental coverage.\n, • Social events that give you opportunities to meet new people and broaden your network across the organisation.\n, • Annual flu vaccinations.\n, • Discounts and savings and cashback across a wide range of categories including health and retail for UK employees.\n, • Discounted Gym membership – Complete Body Gym Discount/Sweat equity program for US employees.\n, • All employees have access to Discover – our comprehensive learning platform with 1000+ courses from LinkedIn Learning.\n, • Access to frequent development sessions on a number of topics to help you be successful and develop your career at CLS.\n\n

Recent in the energy/utilities domain only. \n \n Responsibility: \n\n • Define data ownership and accountability across the organization\n, • Create and manage the enterprise-wide data catalog\n, • Oversee the creation, maintenance and use of metadata\n, • Implement and maintain security protocols to protect data from unauthorised access and breaches\n, • Establish and enforce data governance and policy standards\n, • Regularly audit data access and usage to ensure compliance with policies and standards\n, • Collaborate with business stakeholders to understand data requirements and identify data quality issues\n, • Conduct data profiling and quality assessments to identify data discrepancies and inconsistencies\n\n \n Requirement: \n\n • Minimum of 3 years of experience working in a data role. Capability to present and guide expectations aligned to Data Best Practice (DBP) Guidance\n, • Proficient in documenting data processes, data lineage and data management activities\n, • Excellent data analysis techniques\n, • Capable of creating and providing operational design and policy standards\n, • Good understanding of the client data integration patterns\n, • Good understanding of business data models for internal and external stakeholders\n, • Expertise in data profiling, data cleansing, and data validation techniques\n, • Can identify impacts of data (or bad data)\n, • Exposure to a range of visualization and reporting techniques to drive data integrity standards.\n, • Can identify impacts of data (or bad data)\n, • Exposure to a range of visualization and reporting techniques to drive data integrity standards.\n, • Microsoft Purview\n

The Senior Financial Analyst will play a critical role in managing the financial planning, analysis, and reporting processes for revenue, labor and headcount, and data cost tracking within a highly transactional and complex background screening business. This position requires strong analytical skills, attention to detail, and the ability to translate financial and operational data into actionable insights for executive leadership. The ideal candidate will be adept at working in a fast-paced environment, balancing recurring responsibilities with ad-hoc analysis to support strategic decision-making. \n \n This is a hybrid role (3 days per week) in our Canary Wharf office location in London. \n \n Revenue Management & Analysis \n\n • Own the monthly, quarterly, and annual budgeting and forecasting process for the International GTM function\n, • Monitor actuals vs. budget and forecast, identify variances, and provide clear explanations to leadership.\n, • Partner with budget owners to ensure expense discipline and effective resource allocation.\n\n Labor & Headcount Tracking \n\n • Develop and maintain detailed labor models that align with workforce planning, departmental budgets, and operational needs.\n, • Track headcount by function, location, and status (FTE, contractor, etc.) to ensure accuracy and alignment with approved staffing plans.\n, • Analyze labor cost trends, overtime, and productivity metrics, highlighting risks and opportunities.\n, • Collaborate with HR and department leaders to provide data-driven insights on hiring, attrition, and organizational capacity.\n\n Reporting, Forecasting & Decision Support \n\n • Prepare monthly management reporting packages with insights, KPIs, and recommendations for improvement.\n, • Support annual operating plan, long-range planning, and rolling forecast updates.\n, • Develop financial models to assess the impact of volume fluctuations, pricing changes, and operational improvements.\n, • Partner cross-functionally to improve visibility into cost drivers and align resources with strategic priorities.\n\n Process Improvement & Systems \n\n • Identify and implement process improvements to enhance forecasting accuracy, reporting speed, and data integrity.\n, • Leverage financial systems (e.g., Adaptive Insights, Anaplan, Hyperion, or similar) and BI tools (e.g., Power BI, Tableau) to streamline reporting and analysis.\n, • Ensure compliance with internal controls, accounting standards, and company policies.\n, • Evaluates key business challenges; directs the development of new or improved solutions.\n\n \n Qualifications \n\n • Bachelor's degree and recognised accountancy qualification/Masters or equivalent\n, • 3–7 years of progressive experience in FP&A, preferably in a transactional, high-volume services or technology business.\n, • Advanced Excel and financial modeling skills; experience with enterprise planning systems and data visualization tools.\n, • Proven ability to synthesize complex data into clear, actionable recommendations.\n, • Strong understanding of corporate revenue or expense management, labor cost modeling, and vendor/data cost tracking.\n, • Excellent communication and interpersonal skills, with the ability to partner effectively across functions and levels.\n, • Detail-oriented, with strong organizational skills and the ability to manage multiple priorities in a fast-paced environment.\n\n \n Key Competencies \n \n\n • Analytical Rigor – Demonstrates deep analytical capabilities and problem-solving skills.\n, • Business Acumen – Understands operational drivers in a high-volume, complex transactional environment.\n, • Collaboration – Builds trust and works effectively with cross-functional teams.\n, • Results Orientation – Focuses on delivering high-quality work that drives better decisions.\n, • Adaptability – Comfortable navigating changing priorities and business conditions.\n

ABOUT US! \n \n PHD Global Business Unit, part of Omnicom Media Group, is looking for an Operations Manager to join our Media Operations team. Our clients turn to us for superior media strategy, deep insights, and flawless execution of their marketing campaigns. \n \n Besides all the regular stuff about why working at PHD is amazing, this is the job for you, if you: \n\n • Enjoy working with world-class, well-known brands.\n, • Are excited about the opportunity to work on the operational platforms and processes that underpin our work across many countries\n, • Are passionate about digital marketing technology and its rapid evolution\n\n THE ROLE \n \n This role is part of an international team of 50 people based in London, servicing a well-known technology client’s brand media strategy and activation across EMEA. This vital role sits within the Media Operations function with one direct report. The Operations Manager will work closely with the Media Operations Associate Director and the Global Media Operations division to deliver operational excellence. This will include be that the successful implementation and ongoing development of operational processes. and including the client’s digital media measurement approach in EMEA, focusing on Brand Lift Studies (BLS). This role involves one junior line management responsibility. \n \n We are looking for an operations specialist, ideally someone with a background in media or technology. Someone who is a self-starter, comfortable working within teams and independently to meet deliverable objectives. We seek someone with a keen eye for detail to ensure that processes and guidelines are followed, and who is eager to work with a forward-thinking agency on one of their most prestigious clients and help shape the future of their media operations. \n \n SPECIFIC RESPONSIBILITIES INCLUDE \n Ad & Data Ops \n\n • Ensure we have the right governance and practices to deliver high data quality across markets and the necessary outputs for the client to make informed decisions.\n, • A foundational element of advertising execution to ensure we have the correct processes, workflow, and documentation to ensure correct implementation across markets.\n, • Working with our local markets to align technology usage for the client, vetting and validating potential new technology solutions for the Europe region, aligned with innovation and driving capabilities forward for the client.\n\n Process & Standards \n\n • Ownership of processes relating to the client’s Measurement Operations requirements.\n, • Become the agency expert in the tools, systems and processes designed to facilitate this.\n, • Creation and maintenance of workflows, documentation and training resources for different stakeholders within the process.\n\n Team & Collaboration \n\n • Drive collaboration across multiple disciplines to ensure the measurement process operates effectively, and requirements & deadlines are met.\n, • Instigate regular connections with regional counterparts to ensure consistency and collaborate on ideas for improvement.\n, • Line management and workload oversight of one Measurement Executive.\n\n Data & Technology \n\n • Interpret and interrogate vendor study data outputs via Google Sheets and Tableau\n, • Creation of templates for data onboarding, checking data sets for irregularities and correct as required.\n, • Spot opportunities to drive automation and improve processes.\n, • A working knowledge of AI integration including Agent creation and roll-out\n\n Measurement & Reporting \n\n • Develop your understanding of digital media measurement strategy, frameworks & technology, with a particular focus on BLS. Identifying actionable insights for activation teams.\n\n Communication \n\n • Strong communication skills, and attention to detail.\n, • Ability to communicate complex technical solutions to a non-technical audience.\n\n \n YOUR EXPERIENCE & SKILLS \n \n\n • Experience in media operations, ad operations or digital activation, ideally with some experience of digital measurement approaches\n, • Working knowledge in one or more of the following desirable:\n, • Data visualization tools such as Tableau, Datorama. Dashboarding knowledge preferable\n, • Ad-serving and web analytics tools (DCM, DV360, IAS/Moat, Facebook Advanced Analytics, Google ADH, Google Analytics, Adobe, etc.)\n, • Behavioural data sources (Acxiom, Experian, Clickstream, Location, IRi, Liveramp)\n, • Syndicated research sources/tools (Nielsen, comScore etc.)\n, • Cross-media brand lift research (Kantar, Lucid, etc.)\n, • Experience liaising with multiple stakeholders across complex team structures.\n, • Experience creating documentation and development of repeatable, scalable processes.\n, • Proven numerical skills and data analytics\n, • Strong Excel Skills\n, • A proactive self-starter with a good understanding of digital marketing principles\n, • Strong communication, listening skills and attention to detail.\n, • A passion for learning new things.\n, • Strong organisational skills, with the ability to manage multiple projects simultaneously.\n, • Responsiveness to feedback.\n\n

About the team \n Elsevier’s mission is to help researchers, clinicians, and life sciences professionals advance discovery and improve health outcomes through trusted content, data, and analytics. \n \n This role sits within Elsevier’s Platform Data Science organization, a centralized AI and data science group responsible for advancing intelligent discovery, retrieval, and generative AI capabilities across Elsevier products and platforms. The organization develops foundational AI technologies that power experiences such as LeapSpace, Elsevier’s AI-powered research assistant, as well as Elsevier’s broader Search & AI Platform. \n \n The Platform Data Science organization works at the intersection of: \n\n • Search and retrieval systems\n, • Generative AI and LLM applications\n, • AI evaluation and experimentation\n, • Semantic enrichment and knowledge systems\n, • Scalable AI platforms and intelligent workflows\n\n \n About the role \n We are looking for a Data Scientist III to help design, build, and evaluate advanced AI capabilities supporting LeapSpace and Elsevier’s Search & AI Platform initiatives. This role focuses on applied AI development, retrieval systems, and AI evaluation, helping bring cutting-edge AI technologies into production experiences used by researchers worldwide. \n \n You will work closely with senior data scientists, engineers, product managers, and domain experts across retrieval systems, generative AI, reasoning workflows, evaluation frameworks, and experimentation, contributing to the next generation of AI-powered scientific discovery tools. \n \n This role is ideal for someone with hands-on experience in applied AI, NLP, information retrieval, and LLM-based applications, who enjoys building innovative solutions and translating emerging AI techniques into impactful product capabilities. \n \n Key responsibilities \n Applied AI & Research \n \n\n • Develop and improve LLM-powered research workflows, including:Scientific question answeringLiterature summarizationSemantic exploration and discoveryResearch insight generationCitation-aware retrieval and reasoning workflows\n, • Build and iterate on agentic and multi-step AI workflows using frameworks such as LangGraph and related orchestration tools.\n, • Apply modern techniques in:NLPGenerative AIEmbeddings and semantic representationsRetrieval-augmented generation (RAG)AI reasoning and workflow orchestration\n, • Evaluate emerging AI models, tools, and frameworks and contribute recommendations for experimentation and adoption.\n, • Contribute to prompt engineering, grounding strategies, context management, and hallucination mitigation efforts.\n, • Support integration of scientific metadata, ontologies, and knowledge assets into AI-powered workflows.\n\n \n Search, Retrieval & RAG Systems \n\n • Design, develop, and optimize search and retrieval pipelines, including lexical, vector, and hybrid retrieval approaches.\n, • Contribute to the development and enhancement of RAG systems that integrate LLMs with trusted scientific and biomedical content.\n, • Experiment with embeddings, re-ranking models, chunking strategies, and retrieval orchestration techniques to improve relevance and answer quality.\n, • Support development of semantic search, ranking, and knowledge discovery capabilities.\n, • Collaborate with engineering teams to deploy and scale AI-powered solutions.\n\n \n AI Evaluation & Experimentation \n\n • Develop and apply evaluation frameworks for search and AI systems, including:IR metrics (e.g., NDCG, recall, precision)LLM and RAG evaluation metrics (e.g., grounding, faithfulness, hallucination detection)\n, • Build and maintain evaluation datasets, benchmark suites, and annotation workflows.\n, • Conduct offline experiments and contribute to online experimentation and A/B testing.\n, • Analyze experimental results and communicate findings to stakeholders.\n, • Contribute to responsible AI practices focused on quality, reliability, and trust.\n\n \n Cross-functional Collaboration \n\n • Partner with product managers, engineers, UX researchers, and domain experts to deliver AI-powered capabilities.\n, • Communicate technical findings and recommendations clearly to both technical and non-technical audiences.\n, • Contribute to knowledge sharing and adoption of best practices across the Platform Data Science organization.\n, • Support delivery of projects from research and experimentation through production deployment.\n\n \n Required qualifications \n\n • Batchelor's, Master’s or PhD in Computer Science, Data Science, Machine Learning, NLP, Information Retrieval, or a related field\n, • Experience in data science, machine learning, applied NLP, information retrieval, generative AI, or a related field\n, • Hands-on experience with:LLM-based applications and generative AI systemsRAG pipelines and retrieval systemsSearch and retrieval architectures (lexical, vector, hybrid)Evaluation methodologies for IR and generative AI systems\n, • Strong programming skills in Python\n, • Experience with modern AI/ML frameworks and tooling (e.g., PyTorch, Hugging Face, LangChain, LangGraph, Haystack)\n, • Experience working with Databricks or similar distributed data and machine learning platforms\n, • Understanding of experimentation methodologies, evaluation frameworks, and statistical analysis\n, • Proficiency with data visualization and analytical tooling (e.g., Tableau, Power BI, matplotlib, seaborn)\n, • Demonstrated ability to independently execute technical projects and contribute to cross-functional initiatives\n\n \n Preferred qualifications \n\n • Experience building AI assistants, agentic workflows, or conversational AI applications\n, • Experience working on search, ranking, recommendation, or retrieval systems\n, • Familiarity with scientific, biomedical, or scholarly datasets\n, • Experience with knowledge graphs, ontologies, or semantic enrichment systems\n, • Exposure to production ML systems and MLOps practices\n, • Academic or industry research experience in NLP, information retrieval, search, or generative AI\n, • Experience working in content-rich, knowledge-intensive, or highly regulated domains\n\n \n Working for you \n We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: \n\n • Comprehensive Pension Plan\n, • Home, office, or commuting allowance.\n, • Generous vacation entitlement and option for sabbatical leave\n, • Maternity, Paternity, Adoption and Family Care leave\n, • Flexible working hours\n, • Personal Choice budget\n, • Internal communities and networks\n, • Various employee discounts\n, • Recruitment introduction reward\n, • Employee Assistance Program (global)\n\n \n About the business \n As a global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education, and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world’s grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world. \n

Senior Data Analytics Consultant \n 6 month Fixed Term Contract \n London – Hybrid (On client site 2/3 days per week) \n \n Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work® Institute and recognized as a ‘Cool Vendor’ and a ‘Vendor to Watch’ by Gartner. \n \n Please visit Fractal | Intelligence for Imagination for more information about Fractal \n \n Role Requirements: \n \n Client management: \n\n • Be able to lead the conversations with the client and develop deep understanding of the nature of work to share new ideas and opportunity segments\n, • The candidate is required to bring in consulting expertise and work closely with the client to identify opportunities for growth and scale the engagement\n, • Communicate with the clients and understand their business needs\n\n \n Technical: \n\n • Work with large, complex data sets to solve difficult, non-routine analysis problems, applying advanced analytical methods as needed\n, • Candidate must be well experienced with internal Google tools and publicly available tools such as Google Sheets\n, • Build data pipelines, and dashboards for marketers to self-serve data needs; enable automated tracking of marketing campaigns - Advanced knowledge of SQL is a must\n, • Harmonize data as required and setup models according to the business logic defined\n, • Use statistical tools to identify and evaluate the relationships between data fields, analyze output and determine the next action\n\n \n Project management: \n\n • Lead at least one client engagement independently. Execute end to end client engagements. Ensure regular client updates & meetings, stakeholder management, any failure or risk analysis of the project, data sources, tracking execution & success metrics is done effectively & efficiently.\n\n \n Qualifications & Experience: \n\n • 4+ years of work experience with databases, SQL coding across standard commercial databases (e.g., Teradata, MySQL), and statistics tools (e.g., R / Python).\n, • 5+ years of experience with quantitative analysis/modeling (e.g., scenario-based, sensitivity analyses, statistical techniques) and reporting\n, • Advanced knowledge of SQL is a must and dashboarding/BI platforms like Looker or Tableau\n, • Good problem solving & insight generation skills\n, • Excellent communication skills with technical and non-technical stakeholders\n, • Good to have Tableau or any visualization skill\n, • Prior experience with Google Sheets good to have\n, • Candidate having supply chain knowledge related to product sellout, sell-in, forecast, and planning would be good to have\n

LondonBusiness Units – Maritime and Logistics /Full-time /HybridAt Kpler, we are dedicated to helping our clients navigate complex markets with ease. By simplifying global trade information and providing valuable insights, we empower organisations to make informed decisions in commodities, energy, and maritime sectors.Since our founding in 2014, we have focused on delivering top-tier intelligence through user-friendly platforms. Our team of over 700 experts from 35+ countries works tirelessly to transform intricate data into actionable strategies, ensuring our clients stay ahead in a dynamic market landscape. Join us to leverage cutting-edge innovation for impactful results and experience unparalleled support on your journey to success.Your future positionJoin Kpler’s Maritime Data team as our next Vessel Team Data Manager and help shape the future of maritime intelligence.In this high-impact leadership role, you will be responsible for one of the industry’s most valuable maritime datasets- ensuring our vessel particulars and company data remain accurate, trusted, and continuously evolving to meet the needs of our customers and products.You will bring your maritime expertise and leadership experience to guide a talented team of analysts, improve the way we manage and develop our data, and introduce scalable processes that support Kpler’s continued growth. As the Subject Matter Expert (SME) for vessel and company data, you will be the driving force behind data excellence, ensuring our information remains a trusted foundation for decision-making across the maritime industry.Working closely with Product, Engineering, Data, and Commercial teams, you will have the opportunity to influence how maritime data is collected, managed, and delivered -turning industry knowledge into solutions that create real value for our customers.If you are passionate about maritime intelligence, data quality, and building high-performing teams, this is your opportunity to make a visible impact in a fast-growing global company.Your mission is to:Lead, coach, and develop a team of data analysts, fostering growth, ownership, and continuous improvement.Act as the subject matter expert on Vessel Particulars & Companies business logic, rules, and datasets.Identify and integrate new datasets into our databases.Develop and test business logic, create dashboards, and curate datasets.Allocate resources, support team members, and identify training needs.Implement automation solutions, integrate new data sources, and maintain related platforms.Collaborate with tech stakeholders for infrastructure needs and support commercial teams with data insights.Enhance proprietary data quality and keep the team aligned with company objectives.Manage KPIs and OKRs, provide insights for improvement, and support product development.Experience & BackgroundExperience & BackgroundEssential:8+ years of experience in data management, analytics, or related roles, including 2+ years of direct people management experience.Subject Matter Expert (SME)-level knowledge of the maritime industry, including vessel data, shipping operations, or related maritime domains.Proven People Manager experience managing, building, and developing technical data teams.Advanced, hands-on proficiency in SQL and PythonProven experience designing, optimizing, and maintaining ETL processes, working with APIs for data ingestion, and utilizing web-scraping frameworks.Practical familiarity with data visualization tools (e.g., Tableau, Looker)A strong understanding of statistical methodologies to build automated data validation logic.Desirable :Project management experience.Experience with Dataiku or similar data science and workflow automation platforms.Behavioural Competencies: Strong people leadership skills with a focus on coaching, development, and team empowerment.Ownership mindset with accountability for data quality and operational excellence.Structured and process-oriented approach, with the ability to prioritise effectively.Strong communication skills and ability to collaborate with diverse stakeholders.Analytical thinking and curiosity with a continuous improvement mindset.Ability to balance strategic thinking with hands-on problem solving.QualificationsBachelor’s or Master’s degree in Data Science, Computer Science, Engineering, Maritime Studies or a related field.We are a dynamic company dedicated to nurturing connections and innovating solutions to tackle market challenges head-on. If you thrive on customer satisfaction and turning ideas into reality, then you’ve found your ideal destination. Are you ready to embark on this exciting journey with us?We make things happenWe act decisively and with purpose, going the extra mile.We build togetherWe foster relationships and develop creative solutions to address market challenges.We are here to helpWe are accessible and supportive to colleagues and clients with a friendly approach.Our People PledgeDon’t meet every single requirement? Research shows that women and people of color are less likely than others to apply if they feel like they don’t match 100% of the job requirements. Don’t let the confidence gap stand in your way, we’d love to hear from you! We understand that experience comes in many different forms and are dedicated to adding new perspectives to the team.Kpler is committed to providing a fair, inclusive and diverse work-environment. We believe that different perspectives lead to better ideas, and better ideas allow us to better understand the needs and interests of our diverse, global community. We welcome people of different backgrounds, experiences, abilities and perspectives and are an equal opportunity employer.

Company descriptionVialto is a market leader in global mobility services. Our purpose is to ‘Connect the world’. We are unique and the only stand-alone global mobility business. This presents a rare opportunity for our clients, stakeholders and colleagues. Our teams help companies streamline and effectively manage their global mobility programs in a cost-efficient and compliant manner. Our services focus on providing cross-border compliance and risk assessment for tax, immigration, business travel, rewards and compensation, and remote work. Working at Vialto is about getting the chance to be part of a global and dynamic team. Globally, Vialto has over 8,000 staff and continues to grow. You will work with clients from a range of industries and different geographical locations. We believe in connecting the world and supporting our colleagues to do the same in their careers by undertaking assignments and opportunities globally that broaden their skills and ultimately benefit our clients. Vialto is unstoppable when we work together in a culture of belonging, where everyone can thrive. We encourage employees to bring their true selves and share their unique talents and expertise to positively impact the communities we serve. To learn more about what we do, tune in to our podcast On the Move to hear expert insights on issues affecting global mobility, and read about the latest news in the industry. You can also follow us on Linkedin and Instagram. Role Summary Vialto is hiring a Senior Full Stack Engineer to design, build, and operate secure, scalable products that power our Compensation Collection, Shadow Payroll, and Equity offerings for the world’s most complex multinational employers. You will deliver hands-on engineering across Next.js and React front ends and C# and .NET services running on Microsoft Azure, working in a highly regulated, multi-jurisdictional environment where accuracy, auditability, and data privacy are non-negotiable. This role is for an experienced engineer who can own end-to-end features—from cross-border compensation data ingestion to shadow payroll calculation engines to equity event processing—contribute to architectural decisions and consistently deliver production-ready solutions using agentic development practices including spec-driven development and agent-driven development with tools such as Claude Code and Codex. You will build AI-native products and workflows, embedding AI capabilities directly into compensation, payroll, and equity workflows to reduce manual effort and improve global mobility outcomes. What You’ll Do Build and evolve modern web experiences for Compensation Collection, Shadow Payroll, and Equity products using Next.js, React, and TypeScript with a focus on performance, reliability, and clarity for tax, payroll, and mobility operators. Design and implement backend services and APIs using C#, .NET, and WebAPI to support compensation data ingestion, cross-border payroll calculations, equity event processing, and integrations with client HR, payroll, and equity administration systems (e.g., Workday, SAP, ADP, Shareworks, ETRADE, Carta). Deliver Azure-native implementations of shadow payroll calculation engines, compensation aggregation pipelines, and equity tax event workflows using Microsoft PaaS services, secure patterns, and operational best practices. Contribute to system architecture and technical design for multi-country payroll, compensation, and equity domains, including integration patterns using REST, file-based feeds, and event-driven approaches. Own production readiness for your work including logging, monitoring and alerting, reconciliation tooling, incident response support, and operational documentation—critical for payroll cycles and equity event deadlines that cannot slip. Apply secure development practices appropriate for handling sensitive compensation, payroll, and equity data including privacy, auditability, segregation of duties, and country-specific data protection requirements (GDPR, SOC 2, country-level payroll regulations). Partner with product, mobility tax, payroll, and equity subject-matter experts to translate complex regulatory and client requirements into technical plans and deliverables. Use agentic development practices including agent-driven development with Claude Code, Codex, or similar AI coding agents to accelerate design, implementation, testing, and operations across the SDLC. Work in a spec-driven development workflow, authoring detailed specifications—including country-specific shadow payroll rules and equity tax treatment—that guide both human and AI agent implementation. Design and implement AI-powered features within Compensation Collection, Shadow Payroll, and Equity products including intelligent data extraction from compensation statements, anomaly detection on payroll inputs, LLM-assisted user workflows, and retrieval-augmented generation (RAG) over tax and payroll guidance. Evaluate, integrate, and operationalize AI APIs, models, and toolchains within application architectures, ensuring responsible AI usage, cost management, and observability—especially where AI touches financially material outputs. Mentor and support other engineers through code reviews, pairing, and technical guidance on payroll, compensation, and equity domain patterns. Required Qualifications 5+ years professional software development experience building enterprise web applications and services, ideally including payroll, compensation, equity, HR, finance, or tax domains. Strong experience designing and building large JavaScript applications with Next.js and/or React (TypeScript, state management, performance optimization). Strong backend development experience in C# and .NET (ASP.NET, WebAPI, MVC) including API design and service patterns for high-integrity calculation and data-processing systems. Proven experience with Microsoft Azure designing and building cloud solutions using PaaS services, frameworks, and operational tooling. Experience delivering systems in regulated or compliance-oriented environments (security controls, auditability, privacy, sensitive financial or personal data handling). Strong engineering fundamentals including design patterns, separation of concerns, scalable architecture, and pragmatic trade-offs—with attention to accuracy and reconciliation in calculation-heavy systems. Experience with agentic or AI-assisted development workflows such as spec-driven development, agent-driven development using tools like Claude Code or Codex, or similar AI coding agent practices. Demonstrated ability to build products that incorporate AI capabilities including prompt design, LLM API integration, or AI-augmented user experiences. Preferred Qualifications Direct experience building or integrating with payroll, shadow payroll, compensation collection, equity administration, or global mobility tax platforms. Familiarity with cross-border compensation concepts: gross-to-net calculations, hypothetical tax, tax equalization, modified shadow payroll, and equity-related compensation events (RSU vest, ISO/NSO exercise, ESPP). Experience integrating with HCM, payroll, and equity systems such as Workday, SAP SuccessFactors, ADP, Ceridian/Dayforce, Shareworks, ETRADE, Carta, or country-specific payroll engines. Azure certifications and/or Microsoft certifications. Experience with event-based and distributed systems including messaging and asynchronous workflows for payroll cycles and equity event processing. Data and persistence experience with SQL Server and ORMs (Entity Framework, nHibernate) plus caching strategies; experience modeling compensation, payroll, and equity data is a strong plus. Strong testing discipline including TDD and BDD, xUnit, Jest or Mocha, CI/CD automation, and quality gates—especially for calculation engines requiring reconciliation and regression coverage. Experience building analytics and reporting with BI and data visualization tools, including payroll reconciliation, compensation analytics, and equity reporting. Exposure to mobile ecosystems (iOS and Android) and API design supporting mobile clients for assignee/employee experiences. Experience with prompt engineering patterns, RAG architectures, vector databases, or AI orchestration frameworks (e.g., LangChain, Semantic Kernel, Azure AI Services). Familiarity with AI code generation and review workflows, including evaluating and curating AI-generated code for production readiness in regulated financial workflows. Technical Skills We Value Frontend: Next.js, React, TypeScript, HTML, CSS, SPA architecture, performance and accessibility Backend: C#, ASP.NET, WebAPI, RESTful design, authentication and authorization patterns, high-integrity calculation services Cloud: Azure PaaS services, observability, secure networking, identity, deployment automation Domain: Compensation Collection workflows, Shadow Payroll calculation and reporting, Equity event processing and tax treatment, cross-border payroll integrations Engineering practices: Git-based workflows, secure SDLC, spec-driven development, AI-assisted code reviews, automated testing, reconciliation tooling, documentation AI-enabled delivery: agentic development using Claude Code, Codex, or similar AI coding agents; spec-driven development workflows; prompt engineering; LLM API integration; RAG patterns; AI orchestration frameworks; responsible AI practices and observability What Success Looks Like Delivers complex Compensation Collection, Shadow Payroll, and Equity features end-to-end with high quality, predictable timelines, and production readiness aligned to payroll cycles and equity event deadlines. Produces clean, maintainable code—whether hand-written or AI-generated—with strong test coverage, reconciliation checks, and clear documentation. Identifies and resolves performance, reliability, accuracy, and security issues before they reach production or affect a client’s payroll or equity event. Contributes meaningfully to architecture and raises standards through code reviews and technical leadership across the compensation, payroll, and equity domains. Communicates clearly with engineering, product, and domain experts; flags risks early; and collaborates effectively across teams and geographies. Effectively leverages agentic development tools and AI-augmented workflows to increase velocity while maintaining the quality, accuracy, and security standards required for regulated financial workflows. Education Bachelor’s degree in computer science, Engineering, or related field required. Master’s degree preferred. Why This RoleYou’ll help build and scale the technology behind Compensation Collection, Shadow Payroll, and Equity—the engines that keep globally mobile employees of the world’s largest multinationals paid accurately, taxed correctly, and compliant across dozens of jurisdictions. You’ll modernize and operate a platform that sits at the intersection of complex tax regulations, sensitive financial and personal data, and high-stakes global payroll and equity events. You’ll also work at the forefront of AI-augmented engineering, using agentic development practices and building AI-powered product experiences that redefine how global mobility compensation, payroll, and equity technology is delivered. We are an equal opportunity employer that does not discriminate on the basis of any legally protected status. Please note, AI is used as part of the application process. Department:Software Engineer

The Measurement team is responsible for demonstrating and improving the effectiveness of advertising on TikTok. We partner with advertisers, agencies, and cross-functional teams to interpret campaign performance, shape measurement strategies, and unlock stronger business outcomes through data-driven insights.Our team sits at the intersection of sales, product, analytics, and marketing. We help clients understand how TikTok drives results across branding and performance objectives, while also influencing the evolution of measurement products, solutions, and partnerships.About the RoleAs a Measurement Partner - Centre of Excellence, you will serve as a key regional specialist dedicated to solving complex performance-advertising challenges across Europe. Operating as a senior individual contributor, you will partner closely with regional measurement, product, and sales teams to analyze sophisticated data sets, optimize ad campaigns, and directly improve ROI. This role offers a unique opportunity to lead deep analytical initiatives, prototype measurement tooling, and design experimental methodologies that will directly shape and influence TikTok's broader regional measurement strategy.Responsibilities- Collaborate with sales and measurement teams across the region to develop, implement and lead regional measurement strategies that drive business growth- Support the ideation, creation, and prototyped deployment of sophisticated custom insights, ad effectiveness meta-analysis, or tooling for large-scale data environments for use by wider measurement teams- Act as a regional specialist on full funnel measurement, contributing to cross-functional projects- Design and test bidding, targeting, and optimisation methods to support new product and feature development- Track and report advertiser success metrics to support and grow adoption of measurement solutions across the region- Develop and maintain dashboards, reports, and tools to track Source of Truth (SoT), key performance indicators (KPIs), and measure campaign effectiveness- Analyze and interpret data from various sources, including ad performance, user behavior, and market trends- Provide actionable insights and recommendations to sales and measurement teams to optimize ad campaigns and improve ROI- Stay up-to-date with industry trends, best practices, and new measurement methodologies to continuously improve our regional measurement capabilitiesMinimum Qualifications:- Strong, proven experience in analytics and digital advertising from large marketing-related organisations or measurement suppliers.- Bachelor's degree in a quantitative field (e.g., statistics, mathematics, economics, or computer science) or equivalent.- Proven experience in Data Science, Data Analysis, Measurement, or a related field.- Demonstrated ability to drive projects independently and influence cross-functional stakeholders in a matrixed environment.- Strong analytical and problem-solving skills, with the ability to interpret complex data sets and communicate insights effectively.- Excellent communication and collaboration skills, with the ability to work closely with regional teams.- Exceptional time management and goal-oriented task management skills.- Ability to work effectively, deploy consistent quality, and provide data-driven guidance on business decisions.- A track record of inferential problem solving through experimental design and analytical methods.Preferred Qualifications:- Experience working within the regional digital advertising ecosystem, including media agencies and complex, data-driven marketing organisations.- Experience with executing custom analytical work where SQL, HIVE, R, or Python is preferred.- Proficiency in data analysis and visualization tools (e.g., SQL, Excel, Tableau, Power BI).- Familiarity with privacy-first innovation for marketing measurement systems.Req ID: A147448

You HaveRequired:0-2 years of experience in HR, analytics and/or a related areaExperience with data manipulation, reporting and visualization using Microsoft Excel, Tableau, or other relevant toolsExcellent interpersonal and collaboration skills with the ability to manage multiple priorities and s

Equifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds, and make a meaningful impact, we want to hear from you.Our AI Consultant roles are unique. The ideal candidate is a rare hybrid, a scientist with strong technical skills in AI and machine learning, the programming abilities to scrape, combine, and manage data from a variety of sources and a statistician who knows how to derive insights from the information within. They will combine the skills to create new prototypes with the creativity and thoroughness to ask and answer the deepest questions about the data, what secrets it holds, and to push the boundaries of what is possible with big data. What You’ll Do:Conduct in-depth analysis of data available to Equifax and its partners.Collaborate with product managers to conduct market research and validate product needs.Develop and test AI models and algorithms, utilizing platforms like Vertex AI and BQML.Contribute to the creation of business cases for proposed AI solutions.Evaluate the feasibility and potential impact of AI projects.Provide technical guidance and support to junior analysts.Be proficient in Python, stay up-to-date on the latest advancements in AI and machine learning.Utilize combined knowledge of data structures, analytics, algorithms/models, and strong computer science fundamentals to independently prepare datasets, conduct analytics, and develop deployable solutionsCollect, analyze and interpret large data assets to define and build multiple innovative solution components leveraging business and technical expertise. Support the analytical strategy by understanding critical technical capabilities and suggesting opportunities. Lead the development or projects with multiple deliverables, leveraging business and technical expertise. Work on high-complexity tasks in problems often within multiple business or analytical domains, collaborating with other teams to develop predictive models, risk assessments, fraud detection, recommendation engines, etc. encouraging enhanced solutions Package, summarize, visualize and perform storytelling on analytical findings and results for management and business usersCommunicate results to external stakeholders and mid level leadership, able to communicate business impact of workEvaluate the technical work of peer and junior data scientists, guiding them on deliverable quality and accuracyWhat experience you needBachelor's degree (2:1 or above) in a numerical subject (Computer Science, Mathematics, Statistics, Physics, Engineering).Solid experience in data analysis, machine learning, and AI development in a UK Credit Risk environmentHands-on experience with cloud-based AI platforms and tools.Proficiency in programming languages such as Python and SQL.Strong analytical and problem-solving skills.Good communication and presentation and visualisation skills.Strong experience in a related analytical roleProven track record of designing and developing predictive models in real-world applicationsExperience with model performance evaluation and predictive model optimisation for accuracy and efficiencyWhat could set you apartExperience with specific AI techniques, such as neural networks or natural language processing.Knowledge of the financial services industry.Contributions to open-source AI projects.Experience with data visualization tools.Passion for data science, data mining, machine learning and experience with big data architectures and methodsA Master's degree in a quantitative field (Statistics, Mathematics, Economics)The Perks of being a Equifax Employee?We offer a wide range of company supported benefits including contributory pension, life cover, income protection, healthcare, enhanced maternity and sick pay, 26 days holiday and a day off for your birthday, with the ability to buy and sell and free credit checks. We also offer flexible benefits ranging from cycle to work, discounted travel options, gym membership, dining and leisure discounts, financial & savings plans, mobile discounts plus much more!We also support personal development and have a range of learning options including our global online learning platform and allow you to bring your whole self to work supported by our Inclusion and Diversity, Wellbeing and Employee Engagement forums.Are you ready to power your possible? Apply today, and get started on a path toward an exciting new career at Equifax, where you can make a difference!Primary Location:GBR-LondonGBR-Leeds-6-Wellington, GBR-NottinghamFunction:Function - Data and AnalyticsSchedule:Full timeSummaryLocation: GBR - London; GBR - West Yorkshire - Leeds; GBR - Nottinghamshire - Nottingham - TDXType: Full time

Salary Range:67,900.00 - 126,100.00Job Description SummaryAssociate Director Statistical Programmer #LI-Hybrid Location: London, UK Remote working can be consideredTherapy Area - CRMThis role is based in London, UK. Novartis is unable to offer relocation support for this role. Please only apply if this location is accessible for you. Step into a high-impact leadership role where your expertise will shape the future of drug development. As Associate Director Statistical Programming, you will lead a high-performing community of programmers, driving innovation, quality, and efficiency across complex clinical programs. You’ll play a critical role in delivering timely, high-quality insights that enable life-changing treatments to reach patients faster—while empowering teams, advancing technology adoption, and influencing global strategy across Novartis.Job DescriptionKey responsibilities: Lead statistical programming activities as a Lead/Program Programmer for a large-sized or complex project or group of projects globally or locally, or disease area with phase I to IV clinical studies in Novartis Global Drug Development.Co-ordinate activities of programmers either internally or externally. Make statistical programming decisions and propose strategies at project or disease level. Develop statistical programming strategy and scientific documentation for the project(s) or disease area together with the Biostatistician(s). Accountable for the assignment of resources and workload within his/her TA community and ensures sharing of resources between groups in order to meet company objectives and priorities.May act as functional manager of local/global associates including providing supervision and advice to these programmers on functional expertise and processes.Build and maintain effective working relationships with cross-functional teams including Biostatistics and Data Management counterparts, able to summarize and discuss status of deliverables and critical programming aspects, such as,timelines, scope, and resource planning. SP representative at project level and in the Submission team, or in local leadership team.Develop programming strategy to drive standardization across studies or programs and effectively adopt R packages (e.g. Tidyverse), R Shiny Applications, AI-enabled tools etc. to support data visualization, version control (e.g. Git-based), and reproducible workflows. Partner with the functional mentors to support capability development, appropriate tool adoption, and alignment with standards and business needs.Accountable for timely and quality development and validation of all statistical programming components on assigned project(s). Responsible for quality control and audit readiness of all assigned statistical programming deliverables as well as accuracy and reliability of statistical analysis results.Provide authoritative technical and professional recommendations as representative of the statistical programming function at project level or for a major non-clinical initiative. Provide thought leadership level support and guidance.Essential Requirements: University or college degree in life science, computer science, data science, pharmacy, statistics, nursing or equivalent relevant degree.Proven leadership, collaboration and organizational skills with demonstrated ability to successfully manage simultaneous trials and meet deadlinesExcellent understanding of clinical trials methodology, GCP and medical terminologyMust be able to anticipate challenges and risks and proactively suggest/implement solutionsAbility to work under pressure demonstrating agility through effective and innovative team leadershipExcellent interpersonal skills and proven ability to operate effectively in a global environment. Foster a team environment that values learning, adaptability, and continuous improvement. Ability to influence and communicate across functions and to external stakeholdersExperience in Drug Development with experience in Statistical ProgrammingManagement or leadership experienceBenefits & RewardsAt Novartis, we’re committed to reimagining medicine together - and rewarding the people who make it happen.Expected Annual Base Salary Range for role: 67,900.00 - 126,100.00The base salary offered is determined based on gender-neutral objectives, such as relevant skills, competencies and experience in accordance with the Novartis pay setting policy and upon joining Novartis will be reviewed periodically.In addition to your base salary, you may be eligible for a performance-based bonus depending on certain performance parameters.The rewards of being part of our team go far beyond base pay and incentives. We also offer a variety of competitive benefits in kind to help you thrive personally and professionally, such as insurance plans, retirement plans, wellbeing resources and global recognition programs. In addition, we provide flexible and hybrid working options, where possible, and minimum 14 weeks paid parental leave.Pay equity is a fundamental principle of our employment policy and reflects our commitment to create a diverse, equitable and inclusive environment that treats all employees with dignity and respect, as outlined in our Code of Ethics.Read our brochure to learn more about our global total rewards offering:Note: Benefits and compensation may vary by country and are subject to local legal requirements, including provisions of collective bargaining agreements where applicable. A full overview of your compensation package, including any relevant collective bargaining agreement details applicable to your role based on your employment location and Novartis employer entity, will be communicated separately to you during the application process.Commitment to Diversity and Inclusion / EEO paragraphNovartis is committed to building an outstanding, inclusive work environment and diverse teams’ representative of the patients and communities we serve.Skills DesiredClassification Systems, Clinical Trials, Computer Data Storage, Computer Programming, Cross-Functional Teams, Data Analysis, Data Structures, Initiative, People Management, Programming Languages, Reporting, Statistical Analysis, Waterfall ModelSummaryLocation: London (The Westworks)Type: Full time

Join a team at the forefront of quantitative model review and governance within one of the world's leading financial institutions. This is an opportunity to apply your expertise in mathematical finance, statistics, data analysis, and programming to assess methodologies that influence valuation, risk management, and capital decisions. You'll collaborate with experts across trading, finance, risk, and technology while developing deep insight into complex financial products and modelling techniques. Your work will help ensure the firm's models are robust, well-governed, and fit for purpose.As an Analyst/Associate in Model Risk Governance and Review's Valuation Control Group team, you perform independent reviews of valuation, risk, valuation adjustment, and prudent valuation methodologies used across the Corporate & Investment Bank.Model Risk Governance and Review is a global team of modelling experts within the firm's Risk Management and Compliance organization. We conduct independent model review and governance activities to help identify, measure, and mitigate model risk across the firm. You will assess methodologies, challenge assumptions, evaluate evidence, and communicate technical conclusions that support effective risk management and governance. You will work closely with valuation control, trading, finance, market risk, technology, and other control functions while using modern analytical and automation tools to enhance review quality and efficiency.Job Responsibilities: Evaluate the conceptual soundness of model and qualitative methodology specifications, including assumptions, mathematical structure, empirical evidence, limitations, and controls.Assess valuation, risk measurement, and valuation adjustment methodologies, including fair value, liquidity, concentration, close-out cost, market price uncertainty, future hedging cost, and prudent valuation approaches.Use Python and data analysis techniques to design targeted independent tests, including benchmark comparisons, sensitivity analysis, backtesting, threshold calibration, small-sample analysis, and materiality assessments.Review derivatives valuation and risk methodologies, including volatility dynamics, stochastic rates, jumps, correlation, curve construction, proxying, aggregation, and risk decomposition.Assess statistical, data science, and machine learning approaches where relevant, including calibration quality, feature engineering, validation metrics, explainability, and monitoring.Review implementation and data lineage, including upstream dependencies, market data, sensitivity generation, system flows, and downstream usage.Leverage approved AI and automation tools to accelerate evidence review, code understanding, data analysis, documentation drafting, and quality checks while maintaining independent judgement, confidentiality, and model risk standards.Document review findings clearly and communicate conclusions to model developers, valuation control, trading, finance, market risk, technology, senior management, auditors, and regulators.Represent the team in review meetings, governance discussions, and regulatory or audit interactions.Support model governance activities, including model inventory quality, issue tracking, ongoing performance monitoring outcomes, review planning, and the escalation of model risk issues.Contribute to the development of reusable tools, diagnostics, review standards, and governance practices while maintaining awareness of industry developments, regulatory expectations, and market practices.Required Qualifications, Capabilities, and Skills:Strong quantitative background in mathematical finance, statistics, applied mathematics, physics, engineering, computer science, or a related discipline.Practical coding ability in Python or a comparable programming language, with experience using data analysis to investigate technical questions.Understanding of derivatives pricing, risk sensitivities, calibration, probability, statistics, and numerical methods, or the ability to develop this knowledge quickly.Strong analytical judgement, including the ability to challenge assumptions, assess materiality, and draw conclusions from incomplete evidence.Excellent written and verbal communication skills, with the ability to explain technical concepts clearly to both quantitative and non-quantitative stakeholders.Inquisitive and evidence-driven mindset, with the confidence to ask challenging questions and defend conclusions.Strong risk and control mindset, including appropriate handling of confidential information, documentation quality, governance, and escalation practices.Ability to collaborate across teams and manage shifting priorities under review deadlines.Preferred Qualifications, Capabilities, and Skills:Experience in model validation, quantitative research, model development, valuation control, market risk, product control, trading analytics, or a related control function.Knowledge of one or more Corporate & Investment Banking trading asset classes, including Rates, Foreign Exchange, Equities, Credit, Commodities, or structured products.Experience with Monte Carlo simulation, finite difference or partial differential equation methods, curve construction, volatility surface modelling, regression, clustering, optimisation, machine learning, or model performance monitoring.Experience building reproducible quantitative analysis in Python, including data cleaning, visualization, statistical testing, benchmarking, and automation.Experience using AI-assisted development, code review, document analysis, or research tools productively and responsibly.Knowledge of valuation adjustments, prudent valuation, fair value hierarchy, future valuation adjustments, additional valuation adjustments, market price uncertainty, close-out costs, concentration and liquidity methodologies, or related regulatory requirements.Experience interacting with senior stakeholders, auditors, or regulators.J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success. Risk Management helps the firm understand, manage and anticipate risks in a constantly changing environment. The work covers areas such as evaluating country-specific risk, understanding regulatory changes and determining credit worthiness. Risk Management provides independent oversight and maintains an effective control environment. Full timePosting Date: 2026-07-23

Job SummaryMedpace is expanding a new Clinical Informatics team and is looking for qualified individuals to support this initiative. Our analysts work directly with Clinical Operation teams to identify needs and establish solutions spanning data analytics, visualization, and accessibility. Analysts will be trained to evaluate study protocols and work collaboratively with Clinical Trial Managers to develop and validate data products that increase operational efficiency. Analysts will support both custom- and enterprise-wide solutions as they work hand-in-hand with our software engineering teams.ResponsibilitiesEvaluate data needs for assigned projects and make recommendations on strategic approach specific to the study design;Work alongside operational and medical leads to contribute innovative data products;Interact with relational data at both study- and enterprise-level inclusive of actions for query, wrangling, analysis, and reporting; Innovate algorithms to describe, classify, and predict operational outcomes of clinical trials; andSupport departmental process improvement initiatives.QualificationsBachelor’s in informatics, computer science/engineering, biomedical engineering, health information, statistics, or related field;Analytical thinker with great attention to detail;Ability to prioritize multiple projects on a sprint schedule;Excellent verbal communication skills;Programming experience in R or Python;Work experience with clinical data;Clinical research experience is preferred;Experience building web applications is preferred (with either Shiny or Streamlit); andExperience building dashboards is preferred (with either PowerBI, Tableau, or Spotfire).Additional ConsiderationsWe are hiring all levels of experience. Degree level, work experience, interview performance, and programming proficiency will be considered. For candidates who progress to the interview stage, a programming assessment will be conducted, details will be shared with candidates during scheduling confirmation. Prior to the interview stage, a programming assessment will be conducted, details will be shared with candidates during scheduling confirmation.Medpace OverviewMedpace is a full-service clinical contract research organization (CRO) providing phase l-lV clinical development services to the biotechnology, pharmaceutical, and medical device industries. Our mission is to accelerate the global development of safe and effective medical therapeutics through the advancement of clinical research. We leverage in-country regulatory and therapeutic expertise across all major therapeutic areas including oncology, cardiology, metabolic, endocrinology, central nervous system, and anti-viral and anti-infective. Headquartered in Cincinnati, Ohio, we employ more than 6,500 people across 40+ countries.Why Medpace?When you join Medpace, you become part of an innovative team that brings cutting-edge therapies to market while building a meaningful and rewarding career focused on scientific excellence and improving patient outcomes around the world through continuous learning and cross-functional collaboration.Purpose-Driven WorkWork alongside physicians, scientists, and industry-leading experts committed to advancing the global development of medical therapeutics through clinical research excellenceCollaborative CultureContribute to an interactive team environment that empowers decision making, creative thinking, and continuous learning through open communication and mutual trust.Leadership throughout Medpace is both accessible and approachableContinuous Growth & DevelopmentOffice based environment with on-site mentorsDefined career paths with clear advancement opportunitiesIndustry renowned onboarding and training programs designed to accelerate professional developmentOngoing training and continuous learning opportunities throughout your careerAn environment that encourages employees to influence change, contribute ideas, and grow quicklyOther Employee BenefitsCompetitive compensation programs that recognize and reward performanceComprehensive health, wellness, retirement, and PTO benefitsOffice based culture with occasional WFH that provides flexibility for eligible positions after trainingCompany-sponsored social events Please note benefits may vary based on country. What to Expect NextA Medpace team member will review your application and if your profile matches our current needs, you will be contacted for an interview. While we review all applications carefully, we are unable to respond to every applicant, and only candidates selected for interviews will be contacted.Job SummaryCategory: Clinical Operations

About Baringa Baringa is a global consulting firm that partners with leaders to drive change and create value. With deep industry expertise, and enabled by advanced technology, the firm helps clients to deliver with greater confidence and certainty. With over 2,000 people across the UK, Europe, North America, Asia and Australia, the firm combines global insight with local understanding.The firm works across energy and resources, financial services, government and public sector, consumer products and retail, pharmaceuticals and life sciences, manufacturing, and technology, media and telecoms, with capabilities spanning strategy, transformation and operational excellence – all powered by advanced technology, data, AI and digital innovation.Clients value Baringa’s collaborative approach and the way its teams integrate seamlessly – all working with a shared understanding of what matters most. The firm is known for its kind, curious experts who listen closely and care deeply about client success as they help clients transform energy markets, modernise financial platforms, expand telecoms and digital networks through advanced data analytics, enable digital services in government, and unlock growth in consumer sectors.Certified as a Great Place to Work around the world, Baringa has been recognised by the Financial Times in 22 categories of its UK Leading Management Consultants rankings, and by Forbes for four consecutive years as one of the World’s Best Management Consulting Firms.Our Risk & Compliance practice are looking for an experienced Consultants & Senior Consultants to join the team. Our Risk & Compliance practice drives the strategic evolution of risk management for our financial services clients. We work collaboratively with our clients to deliver practical, tailored solutions to evolve compliance and risk management into future-focused, growth-driving capability. Our team in London is growing, and we are looking for motivated and curious risk and controls professionals to join our global Risk Advisory team. We have a range of open roles based on your experience. What you will be doingShape and structure workstreams in complex regulatory change programmes – mobilizing international teams, creating and tracking project plans and leading the delivery of workstreams to deliver tangible outcomes for clientsLead teams to perform gap analysis of current state against regulatory requirements and provide recommendations for improvementLead program updates and draft high-quality client deliverablesShape future-ready enterprise risk management frameworks, including drafting risk strategy, risk appetite statements and Key Risk Indicators, governance and reporting Collaborate with stakeholders across the three lines of defence to align risk strategy with business goals, converting complex data into clear, actionable insightsLead the analysis of processes and workflows in the risk and compliance functions to identify opportunities for optimization and automationStay on top of emerging risks and trends to anticipate client problem statements and shape innovative solutionsApply traditional and emerging technologies to modernize risk management processes and risk cultureMentor junior team members; facilitate trainings and provide on-the-job coaching Your skills and experience Relevant experience in risk management, audit, compliance, or related functions within financial services or fintech companiesStrong communication and analytical skills, with the ability to present risk insights clearly based on structured and unstructured dataTrack record of building trusting relationships in an international environmentPractical experience with enterprise risk management frameworks such as COSO, COBIT, ISO 31000Experience with risk assessment, control testing, setting up and monitoring Key Risk Indicators, risk governance and reportingProficiency with data analytics and visualization tools (MS Excel, Power BI, Tableau)Practical experience with modernizing risk management processes through integration of automation, AI-driven insights and digital tools, including GRC toolsExcellent project management and prioritization skills Professional certifications in risk and controls management is a plusConsulting experience or experience in Big 4 is a plusWhat a career at Baringa will give you Putting People First. Baringa is a People First company and wellbeing is at the forefront of our culture. We recognise the importance of work-life balance and flexible working and provide our staff amazing benefits. Some of these benefits include: Generous Annual Leave Policy: We recognise everyone needs a well-deserved break. We provide our employees with 5 weeks of annual leave, fully available at the start of each year. In addition to this, we have introduced our 5-Year Recharge benefit which allows all employees an additional 2 weeks of paid leave after 5 years continuous service. Flexible Working: We know that the ‘ideal’ work-life balance will vary from person to person and change at different stages of our working lives. To accommodate this, we have implemented a hybrid working policy and introduced more flexibility around taking unpaid leave. Corporate Responsibility Days: Our world is important to us, so all our employees get 3 every year to help social and environmental causes and increase our impact on the communities that mean the most to us. Wellbeing Fund: We want to encourage all employees to take charge and prioritise their own wellbeing. We’ve introduced our annual People Fund to support this by offering every individual a fund to support and manage their wellbeing through an activity of their choice. Profit Share Scheme: All employees participate in the Baringa Group Profit Share Scheme so everyone has a stake in the company’s success. Diversity and InclusionWe are proud to be an Equal Opportunity Employer. We believe that creating an environment where everyone feels a sense of belonging is central to our culture and that diversity is paramount to driving creativity, innovation, and value for our clients and for our people.An award-winning workplaceYou can be a part of our ‘Great Place to Work’ – with our commitment to women and well-being in the workplace for all. Click here to see some of our recent awards and how we’ve achieved this.Using business as a force for good. We maintain high standards of environmental performance and transparency, which can be seen through our commitment to Net Zero with our SBTI-verified Scope 1, 2 and 3 emissions reduction targets and our support of the Better Business Act. We report our progress publicly and ensure that we are also externally assessed and scored through organisations like CDP and EcoVadis - helping us to continually identify where we can improve. We have a long legacy of supporting the communities in which we work, and offer a variety of ways to contribute, by putting people first and creating impact that lasts. Our Corporate Social Responsibility (CSR) agenda is about giving back to the communities in which we live and work by sharing our skills, talent and time. In essence, we aim to empower and encourage everyone in the firm to contribute to the things we care about, and support registered charities and organisations with a clear social or environmental purpose to increase the positive impact they can have.Join usAll applications received will be reviewed by a member of our Talent Acquisition team. We never rely solely on automated screening or AI tools to make hiring decisions. Your application will be considered for employment without regard to race, ethnicity, religion, gender, gender identity or expression, sexual orientation, nationality, disability, age, faith or social background. We do not filter applications by university background and encourage those who have taken alternative educational and career paths to apply. We would like to actively encourage applications from those who identify with less represented and minority groups. We operate an inclusive recruitment process, ensuring reasonable adjustments where needed. Please contact a member of our Recruitment Team to discuss further.Baringa Privacy NoticesFor UK & EUYour personal data will be retained by Baringa for up to two years, in accordance with our UK Recruitment Privacy Notice / EU Recruitment Privacy Notice, to evaluate your application and meet our legal and reporting obligations. In line with the General Data Protection Regulation (GDPR), you have the right to request access to, rectification, or erasure (subject to legal limitations) of your personal data. For more information, please contact us at privacy@baringa.comFor the USAYour personal data may be retained by Baringa for up to two years, as outlined in our Recruitment Privacy Notice (AMER & APAC), to support the recruitment process and internal reporting requirements. Where applicable, and in accordance with relevant federal and state laws, you may have the right to request access to or correction of your personal information. For further details, please contact privacy@baringa.comFor Australia & SingaporeYour personal data will be retained by Baringa for up to two years, in accordance with our Recruitment Privacy Notice (AMER & APAC), to assess your application and meet applicable reporting and legal obligations. In line with the Australian Privacy Act and Singapore’s Personal Data Protection Act (PDPA), you may have rights to access, correct, or request limited deletion of your personal data. For more information, please contact us at privacy@baringa.com

Python Engineer Tech Driven Fund 200,000 Plus Bonus Quant Capital is urgently looking for a Python Engineer to join our high profile client. Our client is a well known global Prop Trading firm. They have incredible performance figures and a technology budget well over 50 million yet sub 400 employees. They like technology especially the opensource variety as well as scalability and robust performance (much like their track record). They currently run around 2 billion in liquid capital. The firm is known globally for its attitudes and rigour more importantly, you will be surrounded by smart people deeply interested in teaching what they know, and in learning from you. The candidate will assist in the analysis of large data sets which help inform trading decisions covering a range of products such as government bonds, interest rate derivatives, foreign exchange and commodities. The Python engineer will work in close collaboration with research teams to architect, implement and analyze new automated electronic trading algorithms. The developer will play a key role in building and engineering the Firm’s software infrastructure to support new and existing lines of business. In addition, the developer will expand the Firm’s proprietary research platform to support new exchanges, products and functionality. The environment is that of Facebook or Google, relaxed open with time to think and make the right decisions. The atmosphere is calm and relaxed with an open dress code. This is a role for techies, those who are motivated by the sharp end of technology and the possibility of making serious money doing something you are passionate about. Python Engineers Must Have: • 2 years of Solid Python engineering not scripting • A commitment to writing testable, maintainable code. • Advanced to expert level python development skills, including use of data analysis packages such as Numpy, Pandas, etc. • Experience with SQL and/or other database technologies • Knowledge of modern technologies such as AWS, Airflow, Docker, GitLab and Redis • Ideally working with data visualization technologies such as Dash, Plotly, You will be joining a progressive and exciting company committed to excellence. They offer an excellent working environment with ongoing training and a structured career path. You can also expect an excellent salary and benefits package. Including a large bonus from day 1. My client is based in London Remote working at present. Flex in the future Python, Hedge Fund

Our Business Intelligence group is a center of excellence at the Firm for data analytics, data management and data governance, with a focus on enhancing data and analytics literacy, reliability and accessibility, and developing an umbrella strategy for data and information governance throughout the Firm. The group is responsible for transforming data into actionable insights to support strategic decision-making and enhance operational efficiency. Our teams collect, analyze and interpret growing amounts of data from core internal and external sources. We develop and maintain datasets, dashboards and reports that provide real-time visibility into key performance indicators and trends. By leveraging advanced analytics and data visualization techniques, the Business Intelligence group identifies opportunities for growth, uncovers inefficiencies and helps predict future trends. We collaborate with all functions to ensure data integrity and to tailor insights to meet specific business needs. Through our expertise in data analysis and strategic thinking, the Business Intelligence team empowers the Firm to make informed, data-driven decisions that drive success and competitive advantage.Business Analyst, Business IntelligenceAre you ready to make your mark as part of our Practice Solutions team? Then you’ve come to the right place. At White & Case, we’ll support you, give you responsibility and welcome you as an integral member of our global team from day one. Practice Solutions is White & Case's specialist team focused on leveraging AI, legal technology, and data to enhance legal service delivery, led by Chief Innovation Officer Isabel Parker. The team integrates expertise in technology, data science, research, market intelligence, process excellence, and change management to build practice-relevant solutions. Within Practice Solutions sits the Practice Technology Transactions sub-function, which drives technology-enabled transformation across transactional practice areas, offering support for AI-enabled due diligence and contract review, document automation and workflow optimisation, transaction and closing management, and cross-party collaboration solutions.As part of the Firm’s Practice Solutions Function that focuses on driving innovation for our practices, the Business Intelligence (BI) group is responsible for driving the Firm’s data culture and strategy, maturing its data and business intelligence capabilities. Collaborating with data governance and development teams, our Business Analysis team interfaces across the Firm for broad range of internal BI needs.The Business Analyst in the BI function plays a pivotal role in enabling data-driven decision-making across the firm. This position partners with stakeholders to understand business needs, translates requirements into actionable solutions, and champions the adoption and development of BI tools and best practices. Operating within an Agile development cycle, the Business Analyst ensures that solutions are delivered iteratively, efficiently, and in close collaboration with stakeholders. The role is integral to fostering a culture of innovation, collaboration, and continuous improvement, ensuring that data quality, governance, and ethical standards are upheld in all analytical activities. This role is ideal for a business analyst who thrives in a collaborative, innovative, and client-focused environment, and who is committed to driving excellence in business intelligence and analytics at a leading international law firm - delivering value through Agile development and continuous improvementDuties and AccountabilitiesUnderstand the key drivers of the firm, from a business of law and a practice of law perspective, to assist stakeholders and “join-the-dots” on their data and BI requirementsIndependently lead and manage end-to-end BI and analysis projects with multi-skilled teams, fostering a data-driven culture and ensuring timely delivery of outcomes.Engage with stakeholders to define, document, and prioritize business requirements, ensuring alignment with strategic objectives, and guides stakeholders on how data, analytics, and BI tools can be leveraged to solve business problems.Able to elicit pain points, process gaps, and improvement opportunities and translate business challenges into clear, actionable work items for development and ensuring solutions are scalable and value driven.Collaborate with shared services and cross-functional teams to innovate and optimize business processes, leveraging BI and legal AI capabilities.Apply Agile project management practices, including participation in sprint planning, daily stand-ups and retrospectives, to ensure transparency, adaptability and iterative delivery of BI solutions that respond to evolving business needs and drive ongoing process and product improvements.Understand data quality initiatives, including data lineage, metadata management, and remediation of data issues.Identify and document data pain points and work closely with developers and data engineers to proactively communicate within the BI group and recommend innovative solutions.Support change management activities for new or enhanced BI solutions, including stakeholder communications, training support, hypercare and tracking of adoption and usage metrics.Drive engagement with BI tools (e.g.: Power BI) through targeted training, outreach, and enablement programs.Deliver demos, create user guides, and identify new project opportunities to maximize tool adoption and business value.Gather and incorporate user feedback in Agile cycles to continuously improve BI solutions and user experience.Monitor industry trends, particularly in legal AI and analytics, to ensure the firm remains at the forefront of BI capabilities. Comfortable writing or reviewing basic SQL to validate logic and dataFamiliarity with cloud-based analytics platforms such as Databricks.Qualifications and skills3-4+ years’ experience in hands-on business analysis, requirements gathering, and stakeholder management, with experience in professional services preferredExperience in gathering requirements and delivering projects for reporting, analytical projects, and more advanced BI opportunities (such as predictive models) is preferred.An understanding of both the global economic environment and local markets relevant to the firm’s business, including familiarity with the firm’s key clients, geographies, and industries.Strong interpersonal skills, with excellent communication and presentation skillsFlexible self-starter comfortable with tackling new projects independently while also being able to take directions from senior staff.Ability to quickly learn new software and technologies.Ability to work independently in a team environment, effectively manage time and tight deadlines; able to multitask.What We OfferWhen you join us, you’ll be working directly with partners, business leaders and many other inspiring colleagues across our global network of offices. We live by our values—to be pioneering, united and human—and we believe that you’ll experience them from your first day. We will give you the support and development opportunities that will help you achieve your potential. We believe that consistent high performance merits reward and support. Our compensation package reflects your calibre as an Innovation professional, and our benefits are designed to support your changing needs and priorities across different life stages. Location and ReportingThis role is based in London, and reports into the Associate Director of Business Intelligence. Our standard office hours are 09:30-18:00, with a requirement for 4 days in the office per week. Firm BenefitsWe offer a flexible range of benefits, services and programmes designed to help support your lifestyle requirements. Some of the benefits currently available include: Private medical insurance Pension plan with matched employer contribution up to 7.5% Yearly wellbeing fund Income protection Life insurance Critical Illness insurance Private GP services Travel insurance Dental coverage Cycle to work Holiday purchase (available during annual enrolment) Equal Opportunity StatementWhite & Case is committed to creating a fair workplace. It is our Firm’s policy to recruit, employ, train, compensate, and promote without regard to race, religion, creed, national origin, age, gender, sexual orientation, marital status, military or veteran status, disability, genetic information, or any other category protected by applicable law. If you require assistance and/or adjustment to participate in our application and/or interview process, please email us. We will be happy to work with you. Note to recruitment agencies: Our internal Recruitment team is responsible for all end-to-end lateral recruitment processes. All agencies must sign White & Case terms of business, which are office specific. Candidates submitted by an agency without terms of business agreed with the appropriate office, and/or outside of our online application tracking system, will not be considered a formal introduction. Any applications and CVs sent directly to White & Case Partners and employees will not be accepted as formal introductions. If you have any questions, please contact the London Recruitment team. When engaging with agencies, we are supported by our preferred suppliers. This role reports to Associate Director, Business IntelligenceEqual OpportunitiesWhite & Case is committed to creating a fair workplace. It is our Firm’s policy to recruit, employ, train, compensate, and promote without regard to race, religion, creed, national origin, age, gender, sexual orientation, marital status, military or veteran status, disability, genetic information, or any other category protected by applicable law.If you require assistance and/or adjustment to participate in our application and/or interview process, please email us. We will be happy to work with you.The Firm may modify and amend any job description at any time in its sole discretion. Nothing herein creates a contract of employment or otherwise modifies the at-will nature of employment. The above is only a general description of the essential duties associated with this position and does not represent an exhaustive or comprehensive list of all duties.Note to Recruitment AgenciesOur internal Recruitment team manages all aspects of lateral hiring. All agencies must have signed terms of business—specific to the relevant office—before submitting any candidates. CVs or applications sent directly to White & Case partners or employees will also not be considered formal introductions. If you have questions, please contact the relevant Recruitment team. We work with our preferred suppliers when engaging agencies.SummaryLocation: LondonType: Full time

About Columbia Threadneedle InvestmentsWorking at Columbia Threadneedle Investments you'll find growth and career opportunities across all of our businesses.We're intentionally built to help you succeed. Our reach is expansive with a global team of 2,300 people working together. Our capability is diverse with more than 550 investment professionals sharing global perspectives across all major asset classes and markets. Our clients have access to a broad array of investment strategies, and we have the capability to create bespoke solutions matched to clients' specific requirements. Our unwavering focus on our clients and strong financial foundation connects each of our enterprise businesses — Ameriprise Financial, Columbia Threadneedle Investments and RiverSource Insurance and Annuities.Job DescriptionWhere you’ll fit in & what our team goals are…This role is a critical enabler of data-driven decision-making across Columbia Threadneedle Investments EMEA, based in London. The position reports to the Vice President of Columbia Analytics and EDAI AI Strategy and is a senior individual contributor role requiring expertise in Asset Management or Financial Services.This role is specifically intended for an experienced analytics professional who has operated within an investment management or broader financial services environment and understands the data, decision-making processes, and regulatory context of the industry. Significant experience partnering with senior stakeholders in Asset Management, Investments, Distribution, Product, Client, and other related functions is essential.The individual acts as a trusted analytics advisor to EMEA business leaders, translating advanced analytics, statistical modeling, and data science outputs into clear, actionable insights that directly support business decisions within an Asset Management context. Success in the role depends on the ability to connect analytical work to real investment, client, and commercial outcomes, and to communicate effectively with non-technical stakeholders who are accountable for those outcomes.Operating within a highly matrixed, global organization, the role requires strong influencing skills and the ability to lead without formal authority. The individual is expected to build durable partnerships across EMEA and global teams, ensuring analytical initiatives are tightly aligned to business priorities, enterprise standards, and the realities of an AM/FS operating environment.This position is designed for a senior practitioner who proactively identifies opportunities where analytics, machine learning, and data capabilities can materially improve decision-making within Asset Management. The role emphasizes problem framing in complex, ambiguous situations, and applying analytical techniques in ways that are practical, relevant, and embedded into existing business processes over time.While the role does not include direct people management, it is supported by a dedicated team of data scientists based in India. The individual provides leadership through clear definition of business problems, prioritization of work aligned to EMEA needs, and close partnership with global analytics resources. Accountability includes end-to-end ownership of analytical initiatives, senior stakeholder engagement, and informal guidance to ensure high-quality, business-relevant outcomes.Overall, this role is suited to a seasoned analytics leader with demonstrated experience in Asset Management or Financial Services, & strong business acumen, and the credibility to operate in a matrix structure. Impact is driven through insight, influence, and domain expertise rather than formal line management.How you'll spend your time...Identify, develop and implement increasingly complex analytical solutions leveraging tools such as predictive modeling, advanced machine learning techniques, simulation, optimization solutions, etc.Engage collaboratively with business leaders and/or analysts to provide analytical thought leadership and support for business problems. Identify and interpret business needs, define high-level business requirements, strategy, technical risks, and scope. Develop, document, and communicate business-driven analytic solutions and capabilities, translating modeling and analytic output into understandable and actionable business knowledge.Manage dataset creation including data extraction, derived and dependent variable creation, and data quality control processes for analytics, model development, and validation. Monitor execution of analytical solutions, including criteria specification, data sourcing, segmentation, analytics, selection, delivery, and back-end data capture results.Contribute to ongoing expansion of data science expertise and credentials by keeping up with industry best practices, developing new skills, and knowledge sharing. Work cross functionally to develop standardized/automated solutions and adopt best practices. Provides technical advice and coaching to team members on best practices for usage and application of analytic output.Embed analytic programs and tools. Ensure continued accuracy, relevancy, and effectiveness and track process improvements once deployed.Ensure adherence to data and model governance standards that are set and enforced by industry standards and/or enterprise business unit data governance polices and leaders.May lead or provide informal leadership to a team of analytic resources.To be successful in this role you will have...Extensive experience in Asset Management or Financial Services.Strong experience partnering with senior leaders to drive aligned, data informed decisions and business outcomes.Masters degree or equivalent in Quantitative Discipline (i.e. Finance, Statistics, Computer Science, Actuarial Science, Economics, Engineering etc.)Knowledge of advanced statistical concepts and techniques, e.g. skilled in linear algebra.Experience conducting hands-on analytics projects using advanced statistical methods such as generalized regression models, Bayesian methods, random forest, gradient boosting, neural networks, machine learning, clustering, or similar methodologies. Proficiency in programming languages such as Python, Sql etc. Experience with Data visualization tools (e.g. Power BI, Tableau)Proven track record of designing and deploying AI solutions at scale.Demonstrated project experience while working with AWS/Azure/SnowflakeProven executive presence communication skills, with the ability to translate complex data into clear, actionable insights that influence prioritization and investment; ability to communicate to less technical partners.Proven ability to apply both strategic and analytic techniques to provide business solutions and recommendations.Ability to work effectively in a collaborative team environment. If you also had this, it would be great…Familiarity with ML Ops practices and tools for model deployment and monitoring.Familiarity with Gen AI capabilities, Observability, Gen AI type - Q/A, text summarization and text generation etc.Experience working in regulated industries or highly matrixed, enterprise environments.Experience modernizing or scaling enterprise experimentation programs and attribution frameworksTrack record of leading analytics organizations through significant transformation or maturity shifts.In-Office CollaborationWe are a client-centric, relationship-based business. Working together, in-person, is foundational to how we achieve results. By fostering a culture of face-to-face collaboration, idea sharing, productivity and personal connection, we deliver for our stakeholders — clients, advisors, employees and shareholders. Our employees work in the office at least four (4) days per week, with flexibility to work from home one (1) day per week. Some roles may require additional in-office time or different in-office expectations, and specific requirements will be discussed during the hiring process.Full-Time/Part-TimeFull timeWorker Sub TypePermanentJob Family GroupDataColumbia Threadneedle is a people business, and we recognise that our success is due to our talented people, who bring diversity of thought, complementary skills and capabilities. We are committed to fostering an inclusive and performance-based culture where everyone can belong, grow, contribute and realise their potential.We appreciate that work-life balance is an important factor for many when considering their next move so please discuss any flexible working requirements directly with your recruiter.Columbia Threadneedle Investments is an equal opportunity employer. We consider all qualified applicants without regard to racial or ethnic background, religion or belief, sex or gender, nationality, genetic information, age, sexual orientation, gender identity, disability, marital status, pregnancy or maternity or any other basis prohibited by law.We are committed to fostering an inclusive and accessible recruitment process for individuals with disabilities. If you require a reasonable accommodation to aid your participation in the application or interview process, speak to your recruiter to discuss how we can support you.SummaryLocation: London, United KingdomType: Full time

As a leading financial services and healthcare technology company based on revenue, SS&C is headquartered in Windsor, Connecticut, and has 27,000+ employees in 35 countries. Some 20,000 financial services and healthcare organizations, from the world's largest companies to small and mid-market firms, rely on SS&C for expertise, scale, and technology.Job DescriptionSales Operations AnalystLocations: London| HybridGet To Know Us:SS&C Intralinks is a global technology provider of inter-enterprise content management and collaboration solutions.Its products serve the enterprise collaboration and strategic transaction markets, enabling the exchange, control, and management of information between organizations.Why You Will Love It Here! Flexibility: Hybrid Work Model and Business Casual Dress Code, including jeans, Centralized location – 2 minutes’ walk from Raffles Place MRTWork/Life Balance: Flexible Personal/Vacation Time Off, Sick Leave, Paid HolidaysYour Wellbeing: Medical, Dental, Vision, Employee Assistance Program, Parental Leave and Well-Stocked PantryDiversity & Inclusion: Committed to Welcoming, Celebrating and Thriving on DiversityTraining: Hands-On, Team-Customized, including SS&C UniversityEducation: Paid further education opportunities for employees who are eligibleExtra Perks: Bonus Scheme, SS&C Stock(s) Allocation for employees who are eligibleWhat You Will Get To Do:The Sales Operations Analyst will support the EMEA (Europe, Middle East, Africa) & Asia Pacific (APAC) Sales team as part of the broader Revenue Operations team. The role will lead and execute sales reporting, data analytics and insights, territory management, master data management and other revenue operations activities in support of field, channel, key account and/or management for sales teams in EMEA & APAC. The candidate will need to work with geo sales management and reps to ensure timely and appropriate information sharing, reporting and management of daily processes to enhance sales results and customer experience in addition to improving operational efficiencyIn order to be successful, the candidate needs to possess a strong analytical background, with proficiency in data analysis tools and methodologies to conduct in-depth analysis and provide actionable insights that drive strategic decisions. Excellent communication and project management skills are also essential for this role, as is the ability to work effectively within the team and collaborate effectively across various departments across Sales, Marketing, Finance, IT and Services organizations. We are seeking a highly analytical and detail-oriented Revenue Operations Analyst with deep expertise in Tableau to join our dynamic Revenue Operations team.In this role, you will be responsible for driving business insights through dashboards, optimizing sales performance through data, and supporting strategic initiatives across the sales organization. The ideal candidate has strong data visualization skills, a solid understanding of sales processes, and experience turning complex data into actionable intelligence for cross-functional stakeholders.The Sales Operations Analyst specifically supports the geo sales teams in the following areas.Design, build, and maintain scalable Tableau dashboards and reports to support sales forecasting, performance tracking, pipeline analysis, territory planning, and goal attainment.Serve as the Tableau SME (Subject Matter Expert) within the Global Sales Operations team, mentoring others on best practices in visualization and storytelling with data.Analyze business needs, provide data and make recommendations to support sales management, field sales representatives, marketing and other business functional teams.Sales intelligence lead in creating reports and managing data analytics in Salesforce.com, Tableau and various system required to drive informed business makingOwn and execute sales reporting, sales territory management, lead management and ensure accuracy of performance/commission reporting.Manage systems interfaces related to sales reporting, compensation, data processing, customer master data and territory management.Assist in the maintenance of customer/partner master data, including account attributes, legal agreements and CRM account hierarchy data.Develop and present sales forecasts and/or data analysis projects.Provide training on sales support systems to internal users.Document processes and represent business group in corporate sales and marketing discussions; help prepare organization resources and data for systems implementation.Participate actively in building and fostering a team approach across GTM operational functions.Interface with Customer Success, Services and other divisions/departments when needed.Where applicable, support the tax team with information to prepare tax compliance/reportsSupport corporate goals and business/departmental initiativesA strong command of Excel is essential, with additional expertise in application such as Power Query, Power BI, Macro, and VBA considered a valuable asset.A keen interest in data preparation tools such as Power Query and VBA, as well as the ability to work with various software applications, is required.What You Will Bring:Minimally requires a Bachelor's degree and 2 years of related experience, or high school degree and 4 years of related experience.We encourage applications from people of all backgrounds to enable us to bring diverse perspectives to our thinking and conversation. It's important to us that we strive to have a workforce that is diverse in the widest sense.Thank you for your interest in SS&C! If applicable, to further explore this opportunity, please apply directly with us through our Careers page on our corporate website @ .Unless explicitly requested or approached by SS&C Technologies, Inc. or any of its affiliated companies, the company will not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services.Applications will be accepted on an ongoing basis until the position is filled.SS&C Technologies is an Equal Employment Opportunity employer and does not discriminate against any applicant for employment or employee on the basis of race, color, religious creed, gender, age, marital status, sexual orientation, national origin, disability, veteran status or any other classification protected by applicable discrimination laws.SummaryLocation: London, UKType: Full time

With a company culture rooted in collaboration, expertise and innovation, we aim to promote progress and inspire our clients, employees, investors and communities to achieve their greatest potential. Our work is the catalyst that helps others achieve their goals. In short, We Enable Possibility.Job ResponsibilitiesWork closely with business partners to understand the business problems they are trying to solve and help develop and prioritize the best-suited analytics solutions.Collaborate in cross-functional teams and share ideas to solve complex business problems.Build strong partnerships with peers across the organization to support project goals and boarder team needs.Oversee the build of predictive models using advanced analytics techniques including GLMs, GBMs, natural language processing and other machine learning approaches.Develop powerful insights using a variety of analytical tools, techniques, and technologies, and deliver results into the business which drive business decisions.Discover, explore and analyse internal and external datasets for the purpose of developing advanced analytics models.Help establish best practices and repeatable processes for the Strategic Analytics team.Provide thought leadership on new, innovative techniques, approaches and software.Guide, support, mentor and develop the growing team of predictive modelers and data scientists.Desired Skills/ExperienceAbility to design, build and implement statistical models, with an understanding of a range of analytical techniques such as predictive modelling, NLP and data mining.Data manipulation and analytical skills in languages such as Python and SQL. Knowledge of modern visualization tools such as PowerBI is a plus.Familiarity with cloud-based platforms such as Databricks, Snowflake and Azure is an advantage, but not essential.Effective task / project management and general organization skills.· Excellent verbal and written communications skills; ability to convey complex concepts to technical and non-technical people across the organization.Exceptional teamwork skills required to play a key role in cross-functional teams. Ability to collaborate and build trusting relationships with business partners.Natural curiosity to understand the world around you and question as needed.Comfortable handling ambiguous concepts and breaking down complex problems into manageable pieces.Ability to apply critical thinking and creative problem-solving skills.Required Skills/ExperienceExperience in advanced analytics roles, a significant portion of which should be in the insurance industry.Experience working in an analytical role within a London Market insurance environment is an significant advantage.Hands-on experience developing and deploying real-time predictive models in the London Market.Experience delivering business value from small or non-standard data sets.EducationDegree in statistics, mathematics, computer science, engineering or similar quantitative fields; or significant experience in advanced data analytics.Do you like solving complex business problems, working with talented colleagues and have an innovative mindset? Arch may be a great fit for you. If this job isn’t the right fit but you’re interested in working for Arch, create a job alert! Simply create an account and opt in to receive emails when we have job openings that meet your criteria. Join our talent community to share your preferences directly with Arch’s Talent Acquisition team. 14101 Arch Europe Insurance Services LtdSummaryLocation: London, United KingdomType: Full time

London areaEngineering, Product, and Design – Product analytics /Full-time /HybridContentsquare is the all-in-one experience intelligence platform designed to be easily used by anyone who cares about digital journeys. With our flexible and scalable platform, organizations quickly get a deep understanding of their customers’ whole online journey.We are a global leader in the experience analytics space, with a growing presence across 15 offices worldwide. We’re here to stay—and we’re looking for team members who are excited to drive impact and help us scale even further.Our aim is to create an inclusive workplace where everyone learns and succeeds. Contentsquare has built a community of individuals who are daring, understanding, and deliberate. We invite you to join us in making the complex simpler—for our customers, their customers, and each other.Important note: Be careful of scammers pretending to be from Contentsquare. We will never ask for money or contact you through random texts. Any communication from our in house Talent Acquisition team will only ever come from our contentsquare.com or @contentsquare-ext.com domain. For more information, visit our careers blog.As a Product Data Analytics Senior Manager, you will lead and develop a team of three analysts dedicated to our core product for all sales-driven business (another data analytics manager handles our self-serve initiatives). In close collaboration with the SVP of Product, you will leverage data with your team to drive strategic decision-making and optimize product performance. This role is integral to our product team, ensuring data-driven decisions guide our product strategy and innovation efforts. You’ll join the Product Insights department, composed of the Product Data Analytics team and Product Research team. In charge of having a 360 customer knowledge view, we combine quantitative and qualitative insights to inform the product roadmap. Reporting to the Senior Director of Product Insights, you will ensure your team is aligned with the broader company goals and operates with the velocity required to influence strategic decision-making. What you'll doStrategic Alignment:Understand the vision of the different product groups you support and ensure that your team’s focuses on the highest priority topics.Showcase critical thinking by advising the Product SVP on which analyses and monitoring would be most beneficial given the current knowledge gaps and desired impacts.Complex Project Management:Direct the execution of complex initiatives involving multiple stakeholders, ensuring the team delivers timely, actionable insights.Collaboration or dependencies might include technical teams, such as information systems, data ingestion and engineering, or business teams such as customer success, sales, lifecycle and implementation teams.Team Leadership:Develop and retain talent by identifying and nurturing individual strengths and career aspirations for your three analysts.Align with them on clear OKRs and projects to tackle during the quarter, as well as providing ongoing feedback on their analyses, ensuring they focus on high-impact work with an optimized time-to-insight.Data Empowerment: Identify weaknesses in data empowerment across the product lines.Guide and empower product teams with advanced methodologies and analytical tools to foster a data-driven culture.Provide training and support to ensure teams can independently leverage data insights in their decision-making processes.Strategic Collaboration:Partner with product research leaders to establish direction and purpose, and work with Product Directors/VPs to advocate for insights-driven decision-making.What you'll need to succeedProficiency in statistical analysis, data modeling, and data visualization. Ability to interpret complex data sets and translate findings into actionable insights. Experience with data analysis, data modeling and visualization tools (SQL, DBT, Excel, Tableau, or similar software). Expertise in creating advanced data visualizations that effectively communicate complex insights to a broad audience, including dashboards and interactive reports.Capacity to identify issues, analyze root causes, and develop effective solutions. Ability to approach problems methodically and think critically. Meticulous in analyzing data and ensuring accuracy. Ability to validate findings thoroughly and maintain high standards in data integrity and reporting.Ability to convey complex data insights clearly and effectively to non-technical stakeholders. Strong written and verbal communication skills for reporting and presentations.Experience working in cross-functional teams, including product managers, engineers, and designers. Ability to build relationships and influence stakeholders at all levels of the organization.Strong organizational skills and the ability to manage multiple projects simultaneously. Experience with project management tools and methodologies.Management Experience: Some experience managing data analyst(s), even better if you have managed a team of product analysts, aligning them to a strategic vision without requiring constant guidance.Understanding of business strategy and how data-driven insights can support and enhance product and business goals. Ability to align data analysis with business objectives.You’ll need to have a prior experience as a data analyst and to hold a business or engineering degree.What makes you stand outPrevious experience of working closely with product leaders to understand the full product lifecycle and strategic considerations, and good knowledge of SaaS Product metrics.Understanding of machine learning concepts and experience with implementing predictive models to forecast product performance and user behavior.Being able to be hands on to unblock your team, as well as being a strategic communicator. You have a prior experience using Contentsquare platform or another similar tool.Why you should join ContentsquareWe invest in our people through career development, mentorship, social events, philanthropic activities, and competitive benefits. We are always assessing the perks we offer to ensure we’re aligned with the employees' needs.Here are a few we want to highlight:- Virtual onboarding, Hackathon, and various opportunities to interact with your team and global colleagues both on and offsite each year- Work flexibility: hybrid and remote work policies- Generous paid time-off policy (every location is different)- Lifestyle allowance- A Culture Crew in every country we’re based in to coordinate regular activities for employees to get to know each other and bond outside of work- Every full-time employee receives stock options, allowing them to share in the company’s success- We have multiple Employee Resource Groups, that offer a safe space for individuals who share common identities, life experiences, or allyship to connect, support one another, and passionately advocate for the issues close to their hearts- And more benefits tailored to each countryContentsquare is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to sex, gender identity or expression, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.Your personal data is used by Contentsquare for recruitment purposes only. Read our Job Candidate Privacy Notice to find out more about data protection at Contentsquare and your rights. You can exercise your rights by using our dedicated Data Subject Rights Portal here. Your personal data will be securely stored in our hosting provider’s data center in Oregon (US west). We have implemented appropriate transfer mechanisms under applicable data protection laws.Contentsquare may use AI-assisted tools to help review and screen applications. All decisions involving hiring are made by human reviewers, and your personal data will be processed in accordance with our Candidate Privacy Policy.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Are you ready to make an impact?West Monroe is seeking a dynamic and experienced SeniorManager of Finance Transformation to join our growing CFO Advisory practice in our London office. This role is designed for a motivated individual who is passionate about helping organizations optimize their finance functions, drive operational efficiency, and enable strategic decision-making through technology and process improvements.As a Senior Manager, you will lead client engagements, manage project teams, and collaborate with senior executives to deliver impactful solutions that address today’s most pressing finance challenges. This is an excellent opportunity to work in a fast-paced, entrepreneurial environment while making a tangible impact on our clients’ success.What you’ll do:Client DeliveryLead end-to-end finance transformation projects, including assessments, process reengineering, technology enablement, and change management.Partner with senior finance executives (CFOs, Controllers, FP&A leaders) to understand their strategic objectives and align solutions to business goals.Design and implement improvements to finance processes such as financial planning and analysis (FP&A), order-to-cash, procure-to-pay, and record-to-report.Oversee the selection and implementation of finance technologies, including ERP systems, EPM platforms, and other point solutions within the Office of the CFOEnsure delivery excellence by managing project timelines, budgets, and quality standards.Team LeadershipManage and mentor a team of consultants, fostering their professional growth and development.Provide quality assurance review on junior team members’ approaches and deliverables.Provide thought leadership and guidance to project teams, ensuring alignment with client needs and West Monroe’s methodologies.Promote a collaborative and inclusive team environment that prioritizes client success.Business DevelopmentPosition self as a ‘go-to’ for farming and/or business development opportunities by partnering with other West Monroe practices to cross-sell capabilities to our clients, originating multiple projects, leading complex pursuits, and identifying competitive threats or market trends that require preparation.Review SOW and pricing tool to ensure that projects are profitable, scope is feasible, and the project poses no reputational risk to the firm.Stay current on industry trends, emerging technologies, and best practices to drive innovation and thought leadership.Practice DevelopmentContribute to the growth of the Financial Management practice by originating and creating methodologies, project assets and tools, and ensuring maintenance of those assets.Actively participate in recruiting, training, and onboarding initiatives to build a high-performing team.Represent West Monroe at industry events, conferences, and networking opportunities. What you’ll bring:Bachelor’s degree in related discipline (e.g., finance, accounting, business/management, economics, information technology, MIS, etc.) or equivalent experience required.8+ years of progressive experience contributing to and leading Finance Transformation programs and advising the office of the CFO on large-scale process and technology projects.Experience leading clients through strategy and assessment, platform and integrator selection, and implementation roadmap, project and change management for ERP solutions (SAP, Oracle, and Microsoft Dynamics 365 strongly preferred).Strong functional knowledge within the following areas: Lead to Close, Order to Cash, Procure to Pay, Plan to Produce, Record to Report, Recruit to Retire (any other industry specific knowledge is a plus (e.g., TMS, WMS, PSA, EAM, etc.))Continuing experience in understanding and/or configuring Corporate Performance Management (CPM) systems (e.g., OneStream, Adaptive Insights, Anaplan, Planful, etc.).Deep understanding of financial insights and analytics and experience with predictive analytics and AI.Experience leading financial close/consolidation processes, process improvement reviews, and M&A transactions (integrations, carve-out, best practice advisory). Understanding of IFRS requirements.Expert program manager with extensive experience leading multiple finance transformation projects including developing work plans, project scopes, pricing estimates, budget management, issue and risk management, and presenting deliverables.Business development experience including farming leads and assisting in managing the sales process – pursuit strategy, client development cycle and tools, proposal development, fee and profitability planning, and contract management.People management experience, and a passion for developing and coaching more junior team members.Strong data visualization and analysis skills; comfortable using tools like Excel to analyze data and present key insights in a compelling way.Exceptional written and verbal communication skills including the ability to create impactful and concise executive stakeholder-ready deliverables, and polished client-facing oral communication skills.Demonstrated success within one or more of West Monroe’s core industries including Consumer & Industrial Products, Healthcare (payer/provider), Life Sciences, High Tech & Software, Utilities, Insurance, Banking, and/or Private Equity.A commitment to inclusion and diversity, and openness to new ideas and perspectives.Ability to travel as needed.West Monroe’s Operations Excellence practice is focused on driving value from strategy through execution—not merely pointing to best practices and standards. We enable clients to realize the enduring benefits of IT, business, process, and organizational optimization by delivering real, sustainable adoption. Our solutions focus on value creation through the lenses of people, process, and technology across functional transformation and related platforms, productivity, and transformation enablement. Each consultant within our Operations Excellence practice is aligned to one of four focus areas including Enterprise Strategy & Execution, Financial Management, Market Research & Insights, and Productivity.The below applies to all job opportunities listed in the United Kingdom:West Monroe Partners is an Equal Employment Opportunity Employer We believe in treating each employee and applicant for employment fairly and with dignity. We base our employment decisions on merit, experience, and potential, without regard to race, colour, national origin, sex, sexual orientation, gender identity, marital status, age, religion, disability, veteran status, or any other characteristic prohibited by law. To learn more, please visit Other consultancies talk at you.At West Monroe, we work with you.We’re a global business and technology consulting firm passionate about creating measurable value for our clients, delivering real-world solutions.The combination of business and technology is not new, but how we bring them together is unique. We’re fluent in both. We know that technology alone is not the answer, but how we apply it is. We rely on data to constantly adapt and solve new challenges. Actions that work today with outcomes that generate value for years to come.At West Monroe, we zero in on the heart of the opportunity, getting to results faster and preparing people for what’s next.You’ll feel the difference in how we work. We show up personally. We’re right there in the room with you, co-creating through the challenges. With West Monroe, collaboration isn’t a lofty promise, but a daily action. We work together with you to turn vision into clear action with lasting impact.West Monroe is an Equal Employment Opportunity Employer We believe in treating each employee and applicant for employment fairly and with dignity. We base our employment decisions on merit, experience, and potential, without regard to race, color, national origin, sex, sexual orientation, gender identity, marital status, age, religion, disability, veteran status, or any other characteristic prohibited by federal, state or local law. To learn more about diversity, equity and inclusion at West Monroe, visit . If you require a reasonable accommodation to participate in our recruiting process, please inquire by sending an email to recruiting@westmonroe.com.Please review our current policy regarding use of generative artificial intelligence during the application process.If you are based in California, we encourage you to read West Monroe’s Notice at Collection for California residents, provided pursuant to the California Consumer Privacy Act (CCPA) and linked here.

Company DescriptionLinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun – where everyone can succeed.Join us to transform the way the world works.Job DescriptionThis role will be based in London, United KingdomAt LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.At LinkedIn we believe that marketing is what accelerates business growth and that nearly all the levers of business growth are driven by marketing. Because of this, we are passionate about helping marketers unlock growth for their companies and seeing them thrive. We work with our customers to empower them to make more effective marketing and business decisions with insights leveraging one of the richest proprietary data sets in the world. Join us in advancing our vision to create economic opportunity for every member of the global workforce by helping organizations thrive and grow through marketing excellence. The LinkedIn Marketing Solutions (LMS) Marketing Science and Technology team is seeking a dynamic, visionary Strategic Analyst with a strong technical background and proven expertise in insights, marketing analytics and measurement innovations to join our global team of marketing measurement and insights experts. This team is responsible for developing and scaling leading-edge marketing measurement and insights solutions to support our LMS sales teams with deepening strategic relationships with our customers and driving commercial outcomes powered by the experiences of LinkedIn’s 1B+ members spanning over 200 countries and territories. As a Strategic Analyst, you’ll be at the forefront of providing data driven insight and driving measurement excellence for our clients and agency partners. Partnering across sales, product, and marketing, you will lead the adoption of advanced analytics and measurement strategies, harnessing industry-leading data to unlock actionable insights and maximize advertising impact across digital platforms. Responsibilities:Client Leadership: Partner closely with Sales to translate data-driven insights and measurement into actionable strategies that improve business performance for our clients and agency partnersInsights & Influence: Synthesize complex data into clear, actionable recommendations for senior technical and non-technical stakeholdersMeasurement Strategy & Execution: Design and lead advanced measurement initiatives (experimentation, incrementality, attribution, clean rooms) to optimize marketing performanceAdvanced Analytics: Apply SQL, Python, and visualization to analyze LinkedIn and third-party data at scaleInnovation & Product Influence: Advise cross-functional partners to identify innovation opportunities including, but not limited to new product features, measurement capabilities, and go-to-market strategies.Thought Leadership: Drive POV on the future of B2B measurement and represent the company externallyProject Delivery: Lead end-to-end delivery of complex, custom projectsData Governance: Uphold best practices in data privacy, security, and coding standardsQualificationsBasic Qualifications8+ years analytics, marketing science, measurement, or consulting, with direct client-facing leadership.5+ years' experience using SQL or similar querying language 5+ years' experience in a consultative or advisory role 3+ years' experience in project or program management Bachelor's degree in quantitative field (e.g., Statistics, Data Science, Economics, Engineering, Mathematics or related analytic field).Fluency in both verbal and written EnglishPreferred Qualifications10+ years analytics, marketing science, measurement, or consulting, with direct client-facing leadership.6+ years' experience using SQL or similar querying language 6+ years' experience in a consultative or advisory role 4+ years' experience in project or program management Experience in digital marketing and AdTech ecosystems, including agency landscapeDemonstrated expertise in measurement methodologies (e.g. incrementality, attribution, MMM, experimentation, CAPI)Experience working with large-scale datasets and advanced analytics toolsExperience applying AI / LLM techniques in analytics workflowsSuggested SkillsDigital and Performance Marketing Stakeholder ManagementSQL/PythonConsultingAdditional InformationGlobal Data Privacy Notice and Compliance Posters for Job Candidates Please use this link to access documents that provide information about how LinkedIn handles the personal data of employees and job applicants, as well as the E-Verify Participation Notice and the Department of Justice Immigrant and Employee Rights Section Right to Work posters: https://www.linkedin.com/legal/candidate-portal.SummaryType: Full-timeFunction: SalesExperience level: Mid-Senior LevelIndustry: Internet

Our programmers work directly with Clinical Operation teams to identify needs and establish solutions spanning data analytics, visualization, and accessibility. Programmers will be trained to evaluate study protocols and work collaboratively with Clinical Trial Managers to develop and validate data

Own the analytics that leadership actually uses to run the business. As a Senior Business Intelligence Engineer, you'll define the metrics, build the data products, and deliver the analysis that directors and VPs depend on for high-stakes decisions where accuracy isn't negotiable.This is a senior role on a team that works closely with business leaders, so the problems you take on are ambiguous, consequential, and rarely solved by a standard report. You'll translate unclear business questions into precise, measurable analysis, build the data foundation to answer them, and defend your methodology when senior stakeholders press on it. We value depth and detail: clean logic, defensible metric definitions, and analysis that holds up under scrutiny.Why you'll want this role:- A direct line of sight from your analysis to the decisions leadership makes- Hard problems with real stakes,- A team that cares about mechanisms, clarity, and getting definitions right- Room to set standards and grow into broader technical leadershipKey job responsibilitiesWhat you'll do:- Lead analytics on executive-level projects from the first question through to a clear recommendation- Build and own the pipelines, models, and dashboards that drive decisions, with reliability treated as part of the job- Set the standard for metric definitions, finance and operational reconciliation, and data quality across the team- Mentor other BIEs and raise the bar on SQL, data modeling, and analytical rigor- Present to senior leadership, demonstrating leadership principles: Ownership, and Have Backbone; Disagree & CommitBasic qualifications- Experience programming to extract, transform and clean large (multi-TB) data sets- Experience with theory and practice of design of experiments and statistical analysis of results- Experience with AWS technologies- Experience in scripting for automation (e.g. Python) and advanced SQL skills.- Experience with theory and practice of information retrieval, data science, machine learning and data mining- Experience working directly with business stakeholders to translate between data and business needs- Experience with SQL- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience in the data/BI spacePreferred qualification - Experience managing, analyzing and communicating results to senior leadershipAmazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice () to know more about how we collect, use and transfer the personal data of our candidates.Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Company DescriptionWe believe in the power of ingenuity to build a positive human future. We challenge where it matters and own the outcome. As strategies, technologies, and innovation collide, we create opportunity from complexity. Our teams of interdisciplinary experts combine strategic thinking, customer-centric service design, and agile engineering practices to accelerate innovation in a tech-driven world. Our clients adapt and transform, and together we achieve enduring results. We are over 4,000 strategists, innovators, designers, consultants, digital experts, scientists, engineers, and technologists. And we have deep expertise in consumer and manufacturing, defence and security, energy and utilities, financial services, government and public services, health and life sciences, and transport. Our teams operate globally from offices across the UK, Ireland, US, Nordics, and Netherlands. PA. Bringing Ingenuity to Life. Why consider joining our Digital & Data community? ð Join our Data Science team, part of Digital & Data, working alongside product, design and a wide range of other experts and cross-disciplinary teams to bring ideas to life through innovative software solutions. Grow a flexible and unique consulting career within a trust-based, inclusive environment that values excellence, innovation, and curiosity. You have the option to progress with us on a technical career track. No need to go onto the Partner career track if this doesn’t align with what you want to do. Hybrid working - our approach is to be in the office or on client site a minimum of 2 days per week. Work on a broad variety of projects and tech stacks for clients across seven sectors - no project is ever the same Join other experts within our supportive and collaborative tech community through knowledge-sharing and peer-level support, coaching and mentoring Deepen your expertise through our a culture of learning and growth – you’ll have budget to take courses (technical and non-technical training), plus gain certifications Job DescriptionAs a Data Architect you will help drive data and AI transformations for our clients by helping our clients . You will be responsible for defining the data blueprint and architecture for our clients' most complex programmes. This role requires an understanding of both classic and latest generation platform capabilities. You will be architecting end-to-end data platforms which include ingestion, orchestration, governance, security, cost-optimisation, and observability. You will have strong client-facing skills to translate business needs into scalable, resilient, and secure data solutions. Our tech stack ð While we advocate for using the right tech for the right task, you will be expected to architect solutions for some of following technologies and capabilities to ensure scalable, high-performance applications: Multi-cloud, data warehousing and data lake platforms Data manipulation, integration and ingestion technologies Programming/scripting languages ML/AI frameworks Infrastructure & DevOps concepts and tooling, iData Visualization/BI & Analytics platforms, Semantic models and metrics layers Data governance tooling As a Principal Consultant, you will be expected to: Operate at a strategic and leadership-focused level Handle complex client challenges, lead teams, and take ownership of end-to-end assignment delivery Play a role in business growth through bid leadership, identifying new opportunities, and leverage a strong internal and external network Help connect and support newer team members. drive the development and sharing of thought leadership, champion best practice, and be seen as the go-to expert in your technical area Set direction for teams, create an inclusive environment, and push both capability and client outcomes to a higher standard What you can expect of our working environmentð Work to agile best practices and cross-functionally with multiple teams and stakeholders. You’ll be using your technical skills to problem solve with our clients Collaborate closely as a core member of engineering teams, often taking a lead SME role to define vision and establish the right practical architecture Hybrid working with the team on client site or in our office a minimum of two days per week. However, the actual time you spend and where you spend it will vary by role or assignment, including up to 5 days per week on a client site. An environment that deeply cares about its values Values | PA ConsultingAs part of our Digital team, you’ll work alongside colleagues from across PA – delivering transformative digital solutions to today’s most complex business challenges. Our teams are trusted to deliver and given the space to be awesome. We’re an inclusive community for the curious, generous, pragmatic and committed digital practitioner. QualificationsEssential requirements Even if you don’t meet every requirement below, feel free to still apply as we are often hiring for similar roles which your background might be better suited to. Hands-on data background with experience leading engineering teams to deliver applications and services Clear understanding and practical application of data architecture and delivery methodologies. Operate confidently across the data domain with clear understanding of the impact of AI both in the solutions required and how those solutions are delivered Commitment to continuous improvement and professional development. You thrive in problem-solving and analytical thinking You enjoy collaborating with multiple stakeholders in a fast-paced environment Certifications in appropriate methodologies and cloud technologies are advantageous. We're technology agnostic, using the right tools for the job at hand, and you'll have access to our strong partnerships with AWS, Azure and GCP. We're interested to hear from Data Architects with experience across the majority of leading vendors including Azure, AWS, Google Cloud Platform, Databricks, Snowflake and more. Additional InformationAssessment process ️ Please note that the interview stages may be subject to change based on the specific requirements of the role. Quick call with one of our Tech Recruiters – to discuss your application, the role and PA Round 1: Either a competency or technical interview (60 mins) Round 2: Either a competency or technical interview, whichever you didn’t do at first round (60 mins) Final round ð: Meeting with a PA leader - a mini case study and discussion around your client-centricity (60 mins) Life At PA encompasses our peoples' experience at PA. It's about how we enrich peoples’ working lives by giving them access to unique people and growth opportunities and purpose led meaningful work. Our purpose guides how we work with our clients and our teams, and support our communities, to deliver insight and impact, solving the world’s most complex challenges. We're focused on building a workplace that values human difference and diverse mindsets, and a culture of inclusion and equality that unlocks the potential in our people so everyone can be their best self. Find out more about Life at PA here. We are dedicated to supporting the physical, emotional, social and financial well-being of our people. Check out some of our extensive benefits: Health and lifestyle perks accompanying private healthcare for you and your family 25 days annual leave (plus a bonus half day on Christmas Eve) with the opportunity to buy 5 additional days Generous company pension scheme Opportunity to get involved with community and charity-based initiatives Annual performance-based bonus PA share ownership Tax efficient benefits (cycle to work, give as you earn) We’re committed to advancing equality. We recruit, retain, reward and develop our people based solely on their abilities and contributions and without reference to their age, background, disability, genetic information, parental or family status, religion or belief, race, ethnicity, nationality, sex, sexual orientation, gender identity (or expression), political belief veteran status, or other by any other range of human difference brought about by identity and experience. We welcome applications from underrepresented groups. Adjustments or accommodations - Should you need any adjustments or accommodations to the recruitment process, at either application or interview, please contact us on recruitmentenquiries@paconsulting.com#LI-NF1SummaryType: Full-timeFunction: ConsultingExperience level: Mid-Senior LevelIndustry: Management Consulting

Location: LondonDepartment: RiskExperience Level: Experience ProfessionalsContact: Brian TrombinoJob ID: REQ8004We are looking for an outstanding Quantitative Researcher to join our Commodities Risk Management team reporting to the Head of Commodities Risk Analytics and Risk Advisory. The Commodities Quantitative Researcher will partner with the risk and investment teams to build Commodity trading, and risk models to help grow the business.Responsibilities Include:Formulate and implement pricing models for complex commodity derivatives and structured transactions.Formulate and implement models for risk analysis of commodity products and derivatives, such as methodologies for constructing term structures and volatility surfaces.Improve and extend existing risk reporting tools, including risk analysis, P&L attribution, and portfolio construction, with focus on both regular periodic reporting and ad-hoc requests.Develop methodologies and procedures to conduct historical and hypothetical stress testing, as well as analysis of the results using standardized statistical metrics. Work with Risk Management to configure and calibrate risk systems. Apply quantitative methods to solve risk topics, such as estimating market liquidity and liquidation costs.Contribute to overall risk management team at BAM in risk analytics, processes, and reporting. This may involve ad-hoc risk analysis for portfolios that are not commodities-focused or investigation of impact of a commodities-focused portfolio to the overall risk of the firm. Contribute to Global Risk Committee’s understanding of risk drivers and considerations in related markets.Work with the technology team to automate, maintain, and enhance integration of research and reporting solutions into the existing infrastructure.Work with risk management to onboard new portfolios and products.Requirements10+ years of experience as a commodities quant, strategist, or quantitative risk officer, at a hedge fund, bank, commodity trading house, or utilityStrong academic background (masters/doctorate) in quantitative fields such as math, physics, engineering, statistics, economics, or finance.Skilled in valuing and modeling physical commodity assets and structured transactions, such as gas or oil storage, power tolls, transmission, etc.Skilled in providing quantitative modelling and trading risk support to manage complex financial commodities trading portfolios, including analytics for portfolio optimization and construction.Experience with as many of the following commodities (across different geographical locations) as possible: electricity, congestion markets, natural gas, crude oil, oil products, energy assets, agricultural commodities, structured transactions, shipping.Experience with seasonality in commodities risk models.Strong programming skills in Python and SQL. Must be familiar with numeric libraries such as pandas, numpy, etc.Strong problem-solving skills.Enjoy working in a collaborative environment and able to communicate complex ideas clearly.Nice to haveAdvanced Python knowledge including management of virtual environments, release process, or multi-processingExperience developing Plotly Dash dashboards and other data visualization toolsExperience working at a hedge fund or other asset management firms with exposure to systematic futures strategies or factor model analytics.Experience with fundamental modelling.Experience with factor analysis, PCA, decomposition models for P&L and risk, machine learning

Who we areAbout StripeStripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.About the teamThe mission of the People Analytics team is to improve Stripe’s performance by collecting data, measuring critical constructs, and generating insights that help Stripe attract, develop, and retain our most important asset: our Stripes.We are a team with diverse backgrounds across consulting, HR, and data-focused disciplines who are curious, passionate, and committed to using science and data to deliver high-value, precise outputs to our users.What you’ll doThis role sits at the intersection of analytics and business partnership in equal measure. You will serve as the People Analytics Analyst and Business Partner to the People Partners supporting Stripe's International organization who look after our global sites across Core, Tech, and GTM functions. As the sole People Analytics team member based in Europe, you will be the first point of contact for International stakeholders and will need to operate with confidence and autonomy in that capacity.ResponsibilitiesServe as the primary analytics partner and single point of contact for People Partners and senior business leaders supporting Stripe's International organizationDevelop and present comprehensive analyses that shape how leaders understand and act on their organizations, including ad hoc requests requiring urgency and clear communicationDesign, build, and maintain analytics products and self-service tooling through Visier and AI-powered solutionsLead backend Visier platform administration including metric and dimension configuration, data hygiene, security, and report design governancePartner with data engineering to identify and execute improvements to our workforce data ecosystemCollaborate across People Research and Insights, People Partners, and the Business to identify and deliver the highest-impact work Who you areWe’re looking for an analytics analyst and business partner who will help us in our ongoing journey to build a world class People Analytics team and improve the overall employee experience and productivity of our Stripes. You are someone who is curious, has an eye towards craftsmanship and enjoys working in a very fast-paced environment. Through your work, you will likely need to partner closely with our People Research & Insights team, People Partners, People Org teams, and the Business to identify opportunities for greatest impact - then deliver value through creative problem-solving, actionable insights, and effective people practices. Examples of projects this individual may lead include Org health analysis, team size and spans, talent density, recruiting productivity, and geo strategies.We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.Minimum requirements5+ years of experience in management consulting, people analytics, or a related analytical role (inside or outside of HR)Demonstrated ability to operate in a business partner capacity, working directly with senior stakeholders as a single point of contactStrong data visualization and communication skills, with the ability to translate complex findings into clear narratives for a range of audiences including senior leadersWorking knowledge of Visier or a comparable BI platform; Visier experience strongly preferredHands-on experience using AI platforms such as those from Anthropic, OpenAI, or Google to develop tooling and accelerate analytical workflowsExperience with human capital benchmarking and target settingComfortable with ambiguity, competing priorities, and delivering high-quality work at pacePreferred qualificationsExperience supporting international or multi-site organizationsExperience across the full analytics project lifecycle from requirements gathering through deploymentA bias toward automation, self-service enablement, and building for scaleExperience with a scripting language such as Python or RCurrent on best practices, research, and case studies in people analytics and workforce measurementYou can bring structure to ambiguity

Who we are looking forThe Alpha Professional Services team in the UK is looking for a qualified individual to lead our environment and data strategy workstream. This individual must bring strong experience in end-to-end environment strategy, architecture and workflow design, data analysis and business system flows in order to create and execute environment designs for our industry leading front-to-back client servicing platform. The successful candidate must be skilled in managing multi-year programs consisting of complex business models and flows across front, middle, and back office operating models in both an insourced and outsourced model. The successful candidate must have excellent verbal, written and presentation skills, technical architecture knowledge and understanding of global portfolio management, trading, and compliance functions across asset classes. This position will interact with, and demand exposure to the highest levels of executive management within State Street and within our clients’ organizations.Why this role is important to usThe team you will be joining is a part of a global, cross-divisional group supporting State Street AlphaSM. State Street AlphaSM redefines the common definition of ‘alpha’ to mean powering better performance and outcomes at every point on the investment lifecycle and is the first open platform from a single provider that connects the front, middle and back office. It harmonizes data, technology, and services across trusted providers to help our clients better manage their businesses.What you will be responsible forThis client facing role will be responsible for managing end-to-end environment and data strategy programs that onboard new clients onto State Street’s front-to-back platformLead regional and functional teams supporting workflow analysis, data analysis, requirements analysis for current and future state models and architectureLead creation and delivery of internal and client facing documents (strategy documents, playbooks, architecture documentation, data insights etc. )Navigate complex client relationships, build strong business relationships, and manage expectations with client stakeholdersLead various stages of the implementation lifecycle across multiple simultaneous global clientsSupport business development and sales efforts through consultative client engagementProvide regular status updates and support program management reports as neededWhat we value Strong analytical, organizational skills and team management experience.Strong inter personal communication skills and expertise in documentation, reporting and presentation.Ability to work in a fast-paced, globally structured, and team-based environment, as well as work independently.Proven experience in Program management, stakeholder management, client engagement and expectation management across project life cycle.Experience in Agile Methodology and tools (e.g., JIRA, Rally, RTC) preferredFront/ Middle office platforms experience is useful.Education & Preferred QualificationsBachelor’s degree or above. 15+ years of financial industry experience across front office functionality along with middle (IBOR) and back-office systems, services and data domains.Technology background and CFA/ FRM charters are highly appreciated.Strong environment strategy and architecture design experience.Strong experience in data mining, ETL experience platforms, data visualization/ reporting/ presentation tools. Exposure to messaging protocols, public/ private cloud platforms and EDMsExperience integrating with other industry providers/ consulting partners to promote platform interoperability (e.g., Deliotte, Accenture, PWC, Bloomberg PORT, Charles River Development, BRS Aladdin, SimCorp Dimension, Factset, Fidessa Minerva, Eze Software)About State StreetAcross the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you’ll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.Discover more information on jobs at StateStreet.com/careersRead our CEO StatementSummaryLocation: London, England; Edinburgh, ScotlandType: Full time

Our Business Development & Marketing team plays a critical role in enhancing the Firm’s reputation, expanding its client base and driving revenue growth. This team develops and implements strategic marketing plans to promote the Firm’s legal services, leveraging digital and traditional marketing channels to reach target audiences. They conduct market research to identify industry trends and client needs, positioning the Firm competitively within the legal marketplace. The team also manages client relationships, orchestrates business development initiatives, and seeks opportunities for partnerships and networking. Through compelling content creation, event planning and public relations efforts, they ensure that the Firm maintains a strong market presence and continues to attract and retain clients.Position SummaryThe Product Manager, Experience Management, is a pivotal member of the global Marketing Technology team, overseeing the end-to-end product strategy, roadmap, and lifecycle for the Litera Foundation Experience Management and Directory Submission platforms. This manager-level role collaborates with cross-functional stakeholders globally to translate business needs into prioritized features and enhancements that deliver measurable results. By championing scalable, user-focused solutions, the Product Manager will drive platform adoption and maximize value, empowering the Firm to efficiently capture, manage, and leverage experience data in support of its strategic objectives.ResponsibilitiesProduct ownership and roadmap development - define and manage the product vision, strategy, and roadmap for the experience and submission technology stack, translating business objectives into actionable backlogs, user stories, and technical requirements, while leading the delivery of new releases and enhancements.Stakeholder management – act as the primary liaison between the global Marketing Technology team and business stakeholders, gathering requirements, managing expectations, and driving alignment on product priorities and roadmap decisions.Product operations – oversee the day-to-day performance, maintenance, and continuous improvement of the experience and submission technology stack, ensuring system reliability, optimal configuration, and seamless user experiences.Platform integration strategy – identify and execute integration opportunities across the marketing technology ecosystem, maximizing cross-platform functionality, data flow, and user adoption to drive operational efficiency and business value.Product evangelism – champion the Marketing Technology product portfolio, providing expert guidance on capabilities and use cases, and influencing strategic decisions related to product investment, feature prioritization, and resource allocation.Product innovation and evaluation – lead the discovery, evaluation, and pilot programs for emerging marketing technologies, building business cases and driving adoption of solutions that address strategic gaps or opportunities.Vendor and partner management – collaborate with technology vendors as a strategic partner, influencing product roadmaps, evaluating new features through beta programs, and advocating for platform improvements that align with the Firm's needs.Data product management – adopt defined data governance frameworks, ensuring marketing data assets are centralized, standardized, and accessible to support analytics, reporting, and decision-making across the product portfolio.Change management and adoption – develop and execute internal marketing strategies for new product releases and operating model changes, including training programs, documentation, and communication plans to drive user adoption and realize product value.Team enablement and training – mentor team members on product management methodologies, platform capabilities, and best practices, building internal product expertise and capability.Onboarding and product advocacy – lead onboarding programs for new team members, articulating the product vision, portfolio, and service model to build awareness and engagement.Professional development – continuously expand product management expertise and technical knowledge in marketing technology, automation platforms, and industry trends.Additional duties – perform any additional responsibilities necessary to support the Marketing Technology function's product objectives.Education/QualificationsBachelor’s degree preferred; a background in marketing is advantageous. Technical experience in Information Science, Computer Science, Digital Marketing, or a related discipline is a distinct plus.Law firm/professional services experience preferred but not mandatory.Essential Job Requirements and QualitiesProven experience in product management or ownership of marketing technology platforms.Strong understanding of marketing systems, data architecture, and the integration of marketing technology ecosystems.Demonstrated ability to define product strategy, build roadmaps, and translate business requirements into prioritized features and technical specifications.Experience leading product releases, technology implementations, and change management initiatives from discovery through delivery and adoption.Advanced understanding of data privacy regulations (GDPR, CCPA) and their application to marketing technology products and data management practices.Excellent stakeholder management and communication skills—both written and verbal—with the ability to influence and collaborate effectively at all levels of the organization.Experience in training, onboarding, and enabling users on new platforms, features, and processes.Proven ability to thrive in fast-paced, agile environments, demonstrating adaptability and a solutions-oriented mindset.Strong attention to detail with the ability to balance strategic thinking and tactical execution.Familiarity with Agile product development methodologies (Scrum, Kanban) and experience managing product backlogs and sprint cycles.Data storytelling and visualization skills, with experience translating complex data into actionable insights for stakeholders.Understanding of UX/UI principles and user-centered design methodologies.Strategic and creative thinker with a data-driven approach to product decisions.Effective leader and mentor with the ability to coach and develop team capabiliiesStrong influencing and negotiation skills to drive consensus and secure stakeholder buy-inClient-focused mindset with commitment to delivering user-centric solutionsSelf-motivated with the ability to work independently and manage multiple prioritiesResilient and flexible under pressure, able to meet tight deadlines while maintaining qualityEnthusiastic and committed to continuous improvement and innovationSalary Range129,600 - 210,600.00 USD AnnualThis role reports to Director, Marketing & BD OperationsEqual OpportunitiesWhite & Case is an Equal Employment Opportunity (EEO) employer and is committed to creating a fair workplace. It is our Firm’s policy to recruit, employ, train, compensate and promote without regard to race, color, religion, creed, national origin, age, gender, sexual orientation, marital status, military or veteran status, disability, genetic information, or any other category protected by applicable law.Applicants who are interested in applying for a position and require an accommodation during the process should contact talent.acquisition@whitecase.com.Benefits at White & CaseWhite & Case LLP offers a comprehensive suite of benefit programs to all eligible employees, including medical, dental, and vision insurance, life and disability coverage, 401(k) retirement savings, vacation time, and leave programs (including parental leave). Exempt roles are also performance bonus eligible.The Firm may modify and amend any job description at any time in its sole discretion. Nothing herein creates a contract of employment or otherwise modifies the at-will nature of employment. The above is only a general description of the essential duties associated with this position and does not represent an exhaustive or comprehensive list of all duties.Note to Recruitment AgenciesOur internal Recruitment team manages all aspects of lateral hiring. All agencies must have signed terms of business—specific to the relevant office—before submitting any candidates. CVs or applications sent directly to White & Case partners or employees will also not be considered formal introductions. If you have questions, please contact the relevant Recruitment team. We work with our preferred suppliers when engaging agencies.SummaryLocation: New York; LondonType: Full time

Why Sony Interactive Entertainment?Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.Job descriptionThe successful candidate will join the Security Data Analytics team, working across PlayStation data assets and business groups. This team develops the data products, pipelines, dashboards, and reporting that help Information Security teams understand security posture, risk trends, control effectiveness, exposure, and remediation progress. Our work is increasingly built on automation and AI-enabled analytics, and this role builds the data foundations that make that possible.This opening focuses on the backend of that work. Reporting to the Director of Security Data Analytics, you will design and operate the data engineering foundations our analytics depend on: ingestion and transformation pipelines, Snowflake data models, automation, and the enrichment and AI-ready data patterns that turn raw security signals into trusted, analytics-ready data. Presentation-layer engineers own most visualization delivery, so your primary contribution is the reliability, structure, and performance of the data layer, including keeping it running day to day.This is a technical, individual contributor role. You will solve moderately complex problems with limited supervision and own a discrete workstream or a sub-set of a larger effort, working closely with a global set of stakeholders. This role is UK-based and remote-eligible.ResponsibilitiesDesign, build, and optimize data ingestion, transformation, and enrichment pipelines that turn security, technology, and business data into trusted, analytics-ready data.Build and maintain Snowflake data models and warehouse objects that support reporting, visualization, automation, and AI-enabled use cases.Develop automation that reduces manual data handling and reporting effort and improves reliability across the platform.Prepare AI-ready data and support AI-enabled analytics and reasoning workflows built on our data platform.Add business and technical context to security data to improve prioritization and decision-making.Apply software engineering practices to data and analytics code, including version control, testing, code review, and CI.Run and support the team's pipelines and data products in production: monitor health, respond to failures, and troubleshoot and resolve ingestion and pipeline issues to keep data flowing reliably.Partner with global stakeholders across security, IT, studio, platform, and engineering teams to translate requirements into reliable data and reporting.Document data models, pipelines, and solutions so the team can support them.Share knowledge with teammates and contribute to team projects as priorities shift.Qualifications4+ years creating analytics, reporting, data engineering, or data platform solutions.Hands-on SQL and strong knowledge of database technologies (relational, columnar, or NoSQL).Hands-on experience with Snowflake, our primary data platform.Experience building data pipelines and applying data modeling concepts for analytics or data warehouse use cases.Experience operating data pipelines in production: monitoring, troubleshooting, and resolving ingestion and pipeline failures.Experience with scripting and automation (Python, Java, R, or similar).Experience preparing data for, or supporting, AI-enabled analytics or machine learning workflows.Experience with REST APIs, common data formats (JSON, XML), and platform SDKs or APIs.Software engineering practices for analytics code: version control, testing, and CI.Experience with large, complex data sets; security, technology, risk, or compliance data a plus.Experience partnering with cross-functional teams, with clear written and verbal communication about data and technical tradeoffs.Some travel may be required.Desired qualificationsAdvanced Snowflake features, such as tasks, streams, dynamic tables, and performance tuning.Experience with dbt or a similar transformation and modeling framework.Experience automating data workflows or building AI-ready or AI-enabled data products.Working knowledge of security risk, vulnerability, asset, identity, cloud, or control data sets.Familiarity with data quality, governance, or lineage concepts.Experience with Domo or similar BI and visualization platforms, including dashboards.Experience with web technologies (JavaScript, HTML, CSS) and third-party JavaScript visualizations.Exposure to cybersecurity concepts such as vulnerabilities, controls, cloud security, identity, incident response, or risk.Benefits: Hybrid working Discretionary bonus opportunity Private Medical Insurance Dental Scheme London Allowance (if applicable) 25 days holiday per year On Site Gym Subsidised Café Free soft drinks On site bar Access to cycle garage and showers Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.Equal Opportunity Statement:Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Your primary responsibility as a Survey Research Product Manager on the Reputation Marketing & Insights team will be to own the research strategy, roadmap, and delivery of a European reputation tracking product within a global program. You will define what the survey product measures, how insights are delivered to stakeholders, and how the program evolves to meet changing business needs. The work will challenge you to think strategically about what public perception data reveals, translate complex cross-cultural research findings into clear narratives for stakeholders, and make smart trade-offs between global consistency and local relevance. This is a high-visibility role where your insights directly shape how Amazon communicates across Europe. The scope and scale of what we strive to achieve is immense, but it is also meaningful and energizing. The right candidate possesses endless curiosity and passion for understanding perceptions and what drives them. You have hands-on experience with survey research and questionnaire design. You bring practical international expertise and a grounded understanding of how cultural norms differ across countries and regions. You have proficiency in diving deep into large amounts of survey data and combining multiple data points to translate research into actionable recommendations, always paying attention to how cultural norms and lived experiences shape what people say and do. You have a track record of making smart trade-offs, building alignment across teams with competing priorities, and driving crisp decisions when information is incomplete. You are an excellent communicator who can effectively provide status updates, escalate issues, and align stakeholders through written documents, presentations, and other internal communication channels. You are a creative problem-solver who seeks to deeply understand business and communications strategy so you can tailor research that informs stakeholder decision making and messaging tactics. You are comfortable working with AI tools to accelerate research workflows and improve how insights reach decision-makers. This is an individual contributor role.Key job responsibilities- Define and own the survey product strategy and roadmap for European reputation tracking -determining what to measure, how to deliver insights, and what to build next- Own the end-to-end product lifecycle - from questionnaire development and vendor briefing through delivery, stakeholder adoption measurement, and iteration- Write strategic reports that translate survey findings into clear, actionable recommendations for senior leadership, connecting data to communications and business strategy- Deeply understand the needs of internal customers through direct engagement - observing how they use insights and identifying gaps between what they request and what they need - Drive stakeholder alignment across competing priorities, making smart trade-offs between depth and speed, global consistency and local relevance- Define success metrics that distinguish outputs (reports delivered) from outcomes (stakeholder adoption, measurable shifts in communications strategy)- Evaluate and deploy AI capabilities to accelerate research workflows, insight generation, and delivery- Identify opportunities to simplify research processes, eliminate unnecessary complexity, and improve how insights reach decision-makers - Monitor differences in perceptions across countries and surface culturally informed recommendations to refine global and local communication strategies -Challenge existing research methodologies and survey design assumptions; propose new approaches when the evidence warrants itAbout the teamThis team sits within the Communications and Corporate Responsibility (CCR) organization. Our focus is on conducting research that identifies messaging opportunities and informs communication strategies for Amazon as a brand.Basic qualifications- Bachelor's degree- Experience in product management or equivalent experience owning a research product or insights program end-to-end- Experience using data and metrics to drive improvements- Grounded understanding of how cultural norms differ across countries and regions, particularly within Europe- Ability to translate results from statistical models into digestible reports, tables, and graphs that drive strategic decisions- Experience in written and verbal communication skills to communicate with technical and non-technical audiences, including senior leadership- Experience making prioritization trade-offs with incomplete information- Can work proactively and independently, meet deadlines, and deliver on projects and tasks- Proven ability to work in an interdependent team and develop processes at scalePreferred qualification - Master's degree in a relevant field- Experience defining program requirements and using data and metrics to drive improvements- Experience in brand/reputation tracking- Experience managing global programs across multiple countries and time zones- Knowledge of methods for statistical inference (e.g. regression, experimental design, significance testing)- Familiarity with how AI tools can accelerate research workflows- Experience in vendor management- SQL experience or familiarity with data visualization tools for reportingAmazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice () to know more about how we collect, use and transfer the personal data of our candidates.Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.