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Media Buyer – Paid Social Meta Ads | TikTok Ads | Reddit Ads | Lead Generation | Performance Marketing Salary: Dependent on experience, plus performance bonus Location: Hybrid – Leeds (typically 2–3 days per week in the office) Contract: Permanent Reporting to: Head of Performance Marketing About the Opportunity We’re partnering with a growing performance marketing and consumer acquisition business to biuld out their team. Operating in a regulated environment, the business combines data-led decision-making, creative testing and paid media expertise to deliver efficient, scalable customer acquisition. As the business continues to expand its client portfolio and enter new market verticals, it is investing in its in-house media buying function to support its next phase of growth. Paid social is a key driver of this growth, creating an exciting opportunity for a commercially minded Media Buyer to take ownership of campaign performance, test new approaches and help scale successful acquisition strategies. The Role As Media Buyer – Paid Social, you’ll manage and optimise campaigns across platforms including Meta, TikTok and Reddit, with a focus on delivering efficient cost per lead (CPL) and cost per acquisition (CPA). You’ll play a key role in developing and executing paid social strategies that reach relevant audiences, generate high-quality leads and deliver measurable commercial results. Working closely with creative, data and implementation teams, you’ll use performance insights, structured testing and continuous optimisation to improve campaign effectiveness and identify opportunities for growth. With exposure to a diverse portfolio of legal claims campaigns, you’ll work across different audiences, motivations and market dynamics. This will give you the opportunity to develop your expertise, experiment with creative approaches and make a direct impact on acquisition performance. Key Responsibilities Plan, execute and optimise paid social campaigns across Meta, TikTok, Reddit and other relevant platforms. Drive efficient lead generation and acquisition, delivering against agreed CPL, CPA and performance targets. Audit and evaluate advertising accounts, identifying opportunities to improve performance, efficiency and scalability. Work closely with the Creative Strategist to develop paid social strategies aligned with the objectives of each campaign and market vertical. Support creative testing across ad formats, messaging, audiences and concepts to identify winning combinations. Analyse platform performance data and internal business intelligence to inform daily optimisation decisions. Use downstream lead quality and disposition data, where available, to improve campaign effectiveness and acquisition quality. Maintain clean, structured and scalable advertising accounts, including consistent naming conventions and account hygiene. Monitor campaign performance, identifying trends, bottlenecks, risks and opportunities for improvement. Produce clear weekly and monthly performance reports, translating data into actionable recommendations. Ensure campaign changes are aligned with agreed objectives, KPIs and commercial priorities. Work with relevant stakeholders to ensure campaigns comply with applicable legal requirements, advertising regulations, platform policies and internal standards. About You You’re a hands-on paid social specialist who combines analytical thinking with a strong understanding of creative performance. You enjoy testing new ideas, interpreting data and finding opportunities to improve results. You’ll ideally bring: At least two years’ experience managing paid social advertising campaigns. Strong hands-on experience with Meta Ads and/or TikTok Ads, ideally within a lead generation or performance-driven environment. Experience managing campaigns at scale and working towards CPL, CPA or similar acquisition targets. A strong understanding of campaign testing, audience targeting, optimisation and scaling strategies. The ability to analyse performance data, identify trends and turn insights into practical actions. An appreciation of the relationship between creative strategy, audience behaviour and campaign performance. Excellent organisational skills and a methodical approach to campaign management. Strong written and verbal communication skills, with the ability to communicate performance insights clearly. A proactive, curious and commercially minded approach, with the confidence to take ownership and solve problems independently. Desirable Experience Experience working within a digital marketing agency or performance marketing team. Exposure to regulated sectors such as legal services, financial services, insurance or claims. Experience in direct-to-consumer (DTC) performance marketing or high-volume lead generation. Experience managing substantial advertising budgets or campaigns across multiple market verticals. Familiarity with Reddit Ads or additional paid social platforms beyond Meta and TikTok. Benefits The benefits package currently includes: Private medical insurance. Medical cashback plan. Life assurance. Income protection insurance. Critical illness cover. Interested? If you’re a performance-driven Media Buyer who enjoys combining data, creative testing and strategic thinking to deliver measurable results, we’d love to hear from you. Apply now to find out more about this opportunity and the business behind it

Divisional Lead Engineer (Digital & AI) Cardiff / Hybrid (3 Days Per Week) £70,000 - £80,000 + Benefits A rare opportunity to join an international organisation at the start of its Digital & AI engineering journey. The business is already exploring AI across multiple countries, with teams building applications, automations and new solutions to solve real business problems. The next step is building the technical foundations, governance and engineering capability to take that further. As the first dedicated hire in this area, you'll have genuine influence over how AI solutions are designed, built and deployed across the organisation. The key thing is that this is a hands-on engineering role. They need someone who has personally built AI into applications or products, understands how those solutions work beyond the development environment, and enjoys experimenting with new technologies as they emerge. You don't need to be managing a large engineering team already. This could suit a Senior, Lead or Principal Engineer who mentors others and influences technical direction but still wants to be close to the technology. What You'll Do: • Design, build and deliver AI-powered applications and automation solutions, • Integrate LLMs and AI services into real-world applications, • Work with AI agents, RAG architectures and orchestration, • Help define the technical direction of a new Digital & AI capability, • Build the controls, observability and governance needed to use AI safely at scale, • Define development standards, engineering frameworks and best practice, • Mentor developers and provide technical guidance across the business, • Work across technologies including React, Next.js, Node.js and AWS, • Collaborate with infrastructure, cloud and wider technology teams, • Stay hands-on whilst helping shape the organisation's longer-term approach to AI What You'll Bring: • Strong software engineering fundamentals, • Practical experience personally building AI-enabled applications, features or products, • Experience integrating LLMs or AI services into applications, rather than solely using AI as a development tool, • Understanding of areas such as LLM APIs, orchestration, agents, RAG, guardrails and observability, • AWS experience, ideally including exposure to Amazon Bedrock, • JavaScript / TypeScript and modern web engineering experience, • Experience with Node.js, React, Next.js or comparable technologies, • Strong understanding of software architecture and engineering best practice, • Experience mentoring engineers or influencing technical direction, • Genuine interest in emerging AI technologies and a willingness to experiment with new models, tools and approaches, • Ability to communicate technical ideas clearly to non-technical stakeholders You Don't Need: • A Head of AI title, • Experience managing a large engineering team, • To have spent years in formal people management What's more important is that you're technically strong, curious about where AI engineering is heading and can demonstrate things you've actually built. Why You Should Apply: • Founding role within a growing AI Engineering function, • Opportunity to build something from the ground up, • Remain genuinely hands-on with AI and software engineering, • Influence technology choices, standards and ways of working, • Greenfield AI projects with strong organisational backing, • International scope across multiple regions and business units, • Opportunity to grow into a broader technical leadership position, • Hybrid working Interested? Contact Lewis Allen to find out more. Please apply with a CV outlining your suitability for the role. Know someone great for the job? We offer a referral scheme, so get in touch. Note: We do our best to respond to every application, but due to volume, we can't always guarantee it. If you haven't heard back within 7 days, unfortunately, you haven't been successful this time. Keep an eye on our site for new opportunities! JBRP1_UKTJ

Protect Group specialises in enhancing customer experience and generating additional revenue for businesses through innovative technology solutions. Founded in 2016, we’ve rapidly grown to serve over 400 business partners across 75+ countries, with a presence in 12 global offices. Our dynamic, AI-driven widget integrates seamlessly into online booking and sales platforms, providing customer‑centric solutions that boost satisfaction and ancillary revenue without significant upfront costs. At Protect Group, innovation is at our core — we continuously seek new ideas and technologies to stay ahead in today’s fast‑changing market. As a part of the Protect Group team, you will join a community that values collaboration and a shared purpose, fostering a strong sense of community. We believe in accountability and owning our responsibilities, ensuring that we deliver on promises and find solutions when challenges arise. 'Protect People' are talented, ambitious, and passionate individuals who bring energy and enthusiasm to their work every day. We are looking for someone who shares our passion for disrupting global industries across transportation, travel, hospitality, events, and financial services, driving continuous growth and success. Role Description Protect Group is heavily engaged with multiple AI projects - both within the products and services we offer and our internal business processes. The successful use and leveraging of AI is critical to our future objectives. As an AI Architect you will be responsible for continuing and promoting our use of AI. This is a hands‑on engineering role where you’ll be expected to build AI solutions - working across multiple functions, especially with our Data Science team, to achieve the best results. You will design and govern the end‑to‑end architecture that takes AI from experiment to production. This is a systems‑design role, not a model‑training role. You decide how data, models, agents, applications, and infrastructure fit together so we can ship AI that is reliable, secure, cost‑aware, and aligned with the business. Obvious areas of advancement with AI include… • Use within our products, platforms and services., • Use within our development process (testing, IDE, project/task management, documentation, etc)., • Use within the tech department (automating tasks, etc)., • AI tool review (to support business approvals + security considerations)., • Be the AI champion/evangelist within the tech team. You will set reference architectures for predictive ML, generative AI, RAG, and agentic systems; choose platforms and patterns teams can reuse; and hold the line on quality, governance, and operational readiness. The role requires strategic thinking and strong business acumen. We are a fast moving, constantly developing business with an evolving technology platform within a very fast‑moving requirement environment. We expect you to be considered, flexible, well‑versed in technological trends and pathways, familiar with a variety of business concepts and a strong communicator of strategic and operational IT planning and activity to a non‑technical audience. Key Responsibilities • Be an active part of the company’s technology and AI vision and support all aspects of the company’s technological and AI development., • Be part of the product roadmap development and delivery in consultation with the leadership team, sales, finance and risk functions., • Work in a consultative fashion with other departments, such as sales, product, data and CX as an advisor of technologies that may improve their efficiency and effectiveness., • Discover and implement new methodologies that yield competitive advantage for Protect Group., • Develop technical and AI aspects of the company’s strategy to ensure alignment with its business objectives., • Help ingrain throughout the business the application and use technology and AI to deliver and maximise profitably., • Conduct robust testing and quality assurance processes., • Applying security and governance best practice across our AI solutions., • Use stakeholders’ feedback to inform necessary improvements and adjustments to technology. Professional Competence • Working in an agile environment, • Leadership and organisational abilities, • Ability to conduct analysis and research, • Strategic thinking, • Problem‑solving aptitude, • GDPR and International Data Regulations Awareness Technical Competence Required experience: • Computer Vision, • Text Analytics, • Translation Services, • Python, • ML / LLMs, • C# .Net Standard / C# .Net Core / C# .Net #J-18808-Ljbffr

Working at CreateFuture CreateFuture is anAI-native consulting partner where people do work that matters and are supported to do it well. We work alongside organisations such as PayPal, adidas, NatWest, FanDuel and Money Saving Expert, building digital products and services that make a difference while always putting people first. We’re a team of creators. We write code, shape delivery, build go-to-market strategies, develop AI solutions and create the practices that support our people. We work side by side with our clients, challenging what’s not working and helping them to build the future. Our commitment to craft, quality, and culture has helped us scale to over 600 people in just a few years. CreateFuture is a Great Place to Work-Certified™ company and has won Best Workplaces UK multiple years in a row. Join us on our journey. Let’s create tomorrow, together, today. We are looking for a Senior Data Engineer with a machine learning focus to join our data team, taking ownership of the data and feature pipelines that production ML systems depend on, training data preparation, feature engineering, and the path from a model that works in a notebook to one that runs, and keeps running, in production. You’ll work with a high degree of autonomy on the more complex and ambiguous problems across client engagements, partnering closely with data scientists and ML engineers, while mentoring junior engineers and helping to raise the bar on engineering practice. The foundations still matter: this is a data engineering role at heart, built on Python, PySpark, and platforms like Databricks, Snowflake, or AWS. • Take ownership of designing, building, and maintaining the production data and feature pipelines that machine learning systems depend on, training data preparation, feature engineering, and reproducible, point-in-time-correct datasets, with minimal supervision, • Take models from prototype to production and keep them there: packaging and deployment alongside data science colleagues, model versioning, automated retraining, and the monitoring that catches drift and degradation before a client does, • Build and maintain the batch and ELT pipelines the ML work sits on, using Python, PySpark, and cloud data services (e.g., AWS Glue, EMR, S3, Redshift, Athena, or the Databricks / Snowflake equivalents), making sound decisions on architecture, data modelling, and tooling and weighing up trade-offs in performance, cost, and maintainability, • Own and continuously improve CI/CD for data and ML workflows, ensuring reliable, repeatable deployments of pipelines and models alike, • Mentor and support junior and mid-level data engineers, reviewing code and sharing knowledge to raise the standard of delivery across the team, • Troubleshoot and resolve complex issues in live data pipelines and deployed models, acting as a point of escalation for the wider team, • Partner with data scientists, cross-functional teams, and client stakeholders to understand data and ML requirements and shape them into technical solutions, • Have hands-on experience building the data and feature pipelines behind production machine learning, training data preparation, feature engineering, and feature stores, and understand why reproducibility and point-in-time correctness matter more than they first appear, • Have worked with MLOps in practice rather than in principle: model versioning and registries, experiment tracking, automated retraining, and monitoring for drift and model degradation (MLflow, SageMaker, Databricks ML, Vertex AI or comparable), • Are comfortable with ML frameworks such as scikit-learn, PySpark MLlib, or PyTorch / TensorFlow, enough to productionise a data scientist’s work, reason about what a model needs from the data, and spot where a training pipeline and a serving pipeline have quietly diverged. You don’t need to be the person designing the model, • Have designed and operated production data pipelines on a modern cloud data platform, AWS (Glue, EMR, Redshift, S3/Lake Formation), Databricks, Snowflake or comparable, and can talk about which of those decisions would travel to a different one, and which wouldn’t, • Have deep SQL skills and hands-on experience with data modelling (e.g., Kimball, medallion/lakehouse patterns, or domain-driven modelling), this is the load-bearing, provider-agnostic skill underneath almost all of our pipeline work, • Have strong Python and PySpark for batch processing, with production-grade, well-tested code. The bulk of this work is batch and ELT, but you’ll need to have experienced event-driven or micro-batch pipelines and know where the design assumptions stop holding, • Have owned orchestration in production, dependency design, retries, SLAs, and the observability that tells you a pipeline failed before the client does, • Have experience owning the delivery of data engineering work with limited oversight, including CI/CD management and support, • Have experience mentoring or supporting the development of less experienced engineers, • Are comfortable working directly with stakeholders to shape technical solutions from ambiguous requirements, presenting your work, estimation and discussing tradeoffs and risks. We trust people to do their best work. That means flexibility over rigid rules, impact over activity, and real investment in your growth both professionally and personally. You’ll be part of a supportive, and friendly culture, surrounded by smart, curious people who care deeply about what they do. We offer flexible working, including hybrid and remote options. Our office hubs are located in Edinburgh, Leeds, Manchester, London and Bulgaria, with occasional travel to client sites or CreateFuture offices when needed. We trust you to manage your time balancing collaboration with client time and focused work. What matters is the impact you have, not how busy you look. We try to keep our hiring process clear, fair and respectful of your time. We aim to get back to everyone who applies and we will be upfront about where you are in the process. It usually looks like this: • Call with our Talent Acquisition Team, • Role specific capability interview Depending on the role, we might also ask you to do a short presentation, a practical or technical task or have a values focused conversation. We will explain what is involved before anything happens. We believe diverse teams build better workplaces and better products. We want CreateFuture to be a place where people feel able to be themselves and do their best work. If you need any adjustments or support during the application process, just. We will do what we can to help. We look forward to your application! As set forth in CreateFuture’s Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law. We use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements. #J-18808-Ljbffr

Airedale Group are the leading market design, installation, and maintenance provider for commercial kitchens in the UK hospitality and food service industry. We work alongside clients from the initial designs through to bespoke fabrication and installation. Coupled with the largest body of professional maintenance engineers in the country, we offer the complete end-to-end solution to our extensive client base. We have long-standing relationships with many of the biggest multi-site brands in the UK. Lighthouse is Airedale Group's IoT platform for commercial kitchens. We monitor and control the equipment inside them — fryers, grills, ovens, refrigeration, boilers — across the estates of some of the UK's best-known restaurant and pub brands. Unusually, we do not only observe that equipment; we control it, which is why major customers trust us with live cooking assets. Energy savings opened the door, but they are not the product. The same data already evidences food safety compliance, stock loss prevention, cleaning compliance, remote fault diagnosis and — most significantly — early warning of equipment failure. Our predictive proof of concept identified drift several days before failures were logged, validated against real engineer job history rather than synthetic data. Our board has funded a dedicated data and analytics capability to turn that evidence into product. This role builds it. As Senior IoT Data & AI Engineer, you will convert proven analysis into running systems. Working alongside our IoT data analyst, who holds the domain knowledge and customer relationships, you will build the data platform, the predictive models and the automated reporting that allow insight to be produced repeatedly rather than by hand. The first priority is early failure detection. We have committed to delivering it for a major customer, and getting it into service — then proving how accurate it is — is your first quarter. This is a hands-on role in a deliberately small team. You will work directly with the CTO and with our IoT data analyst, who is your closest working partner: they define what good looks like and validate that what you build is right; you make it repeatable. You will also collaborate with the wider Airedale group data team on shared standards as that function develops. You will not be required to run the monthly customer reporting meetings — the analyst leads those — but you should expect to join customers periodically and for technical discussions. Engineers who never meet the customer build the wrong thing. • Take our anomaly detection work from proof of concept into production across the estate, moving from retrospective analysis to live early warning., • Build the validation loop that joins every alert to the engineer's finding, so detection accuracy is measured rather than asserted., • Develop the failure-signature library from telemetry crossed with twenty years of service history — the asset that makes our predictions defensible and that no competitor can replicate., • Tune alerting continuously so it stays actionable and does not become noise., • Own the flow from ThingsBoard, currently on managed hosting, into Microsoft Fabric — streaming ingest, full-history archive, and the conformed layer beneath everything else., • Build the derived data layer: asset state classification, expected consumption and baselines, deviation scoring, an event register and governed metric definitions., • Evaluate ThingsBoard Trends Analytics against building our own and make the recommendation on evidence — then implement it., • Apply proper engineering discipline: version control, testing, reproducibility. Nothing should depend on a script on someone's laptop., • Build with large language models as a core part of the role, not an experiment: generated report narratives, plain-language explanation of anomalies, and a conversational interface over our data., • Deliver that interface against the governed data layer, with customer isolation enforced properly and an evaluation suite that proves answers are correct., • Maintain the boundary that matters: figures are computed in the data layer and narrated by the model, never generated by it., • Industrialise the customer reporting our analyst currently produces by hand, so that it scales as the estate grows rather than consuming more people., • Publish analytics outputs to our customer portal through served APIs., • Strong Python and SQL, with production experience building and operating data pipelines — ideally in Microsoft Fabric, or a comparable lakehouse platform such as Databricks, Synapse or a dbt-based stack., • Hands‑on experience with time‑series, sensor or telemetry data at scale, including the realities of gaps, drift, flatlines and misbehaving devices., • Applied anomaly detection or predictive modelling taken into production, with the judgement to keep methods robust and explainable rather than elaborate., • Practical experience building with LLM APIs beyond chat use: retrieval, tool use, generated reporting, and evaluation of model outputs., • Self‑directed and adaptable, comfortable owning delivery end to end in a small team without an engineering department to fall back on., • Able to explain technical work clearly to non‑technical colleagues and customers. The Airedale Group is expanding rapidly, employing circa 700 people across multiple locations in the UK. This is a fantastic time to be joining the business with opportunities for career progression. 23 days + bank holidays, increasing to 26 days with LOS Performance Bonus, Westfield Healthcare, Life assurance x 2 Monday – Friday, 8:30 – 17:00 Hybrid working with regular team meetings held in Brackley/Bradford #J-18808-Ljbffr

This job is with MSCI, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.Your Team Responsibilities:The MSCI Analytics Managed Services team is composed of experienced professionals that provide first tier ongoing services to our Risk Management clients around the world. Currently, the Global Analytics Managed Services team is present in the following locations: New York, Monterrey, Budapest, Mumbai and Manila.Team members who work on Managed Services Projects are responsible for providing support and solutions to a wide variety of reporting, methodology, regulatory, usage and technical needs. Specialists work directly with clients across all market segments including asset owners, asset managers, hedge funds, banks, brokers, wealth managers, and pension plans. The Specialist will monitor and analyze client portfolio data and work with the client throughout the on‐boarding and ongoing process. MSCIs Specialists support client with our risk and analytics products, which are integrated into the clients investment process.The Analytics Managed Services Specialist will gain competencies in data modeling, portfolio reconciliation and reporting. As a specialist, he/she will work with several clients simultaneously in virtual teams, along with Solutions Team, Implementation Team, Product Team, Data Team and Risk Consultants.Your Key Responsibilities:Confirm data coverage for securities and benchmarks that clients wish to model by analyzing requirements and collaborating with internal teams responsible for maintaining datasets and databases.Consult with clients on portfolio data modeling best practices, providing guidance on input data formats, content requirements across instrument and asset types, and the terms and conditions required to accurately represent portfolio holdings.Advise clients on best practices for applying proxy information and mapping portfolio holdings to appropriate risk factor datasets, including explaining how modeling and mapping configuration choices may impact risk results and reporting.Support clients with data conformance and validation testing by reviewing input files for proper formatting and modeling requirements, analyzing processing logs, and validating portfolio data for accuracy and completeness.Monitor and manage workflows to ensure the proper setup of client configuration files, including appropriate rules for the terms and conditions enrichment of portfolio data.Assist clients in reviewing the accuracy and quality of risk and compliance reports, applying knowledge of product analytics, reporting capabilities, and methodologies for transforming and integrating risk analytics into standard reporting services.Provide direct support to global clients via phone and email, including analysis of reject remediation and market value (MV) reconciliation activities, as well as investigating significant changes in risk statistics and other analytical results.Provide initial product training and guidance to new users within client organizations, helping them effectively understand and utilize our products and services.Act as a liaison between clients and internal stakeholders, providing client feedback and collaborating with Sales & Consultants, Research, Product Management, Finance, and Product Delivery teams.Partner with the Sales team to assess client implementation requirements and identify the contractual arrangements needed to support successful implementation.Contribute to AI-driven projects and initiatives focused on innovation, automation, operational efficiency, and the continuous improvement of global practices.Your skills and experience that will help you excel:1-3 years of relevant experience in a client-facing role within the financial services industry, as well as fresh graduates, are welcome to apply Strong analytical and problem-solving skills, with excellent attention to detail.Excellent verbal and written communication skills, with the ability to communicate effectively with clients and internal stakeholders.Strong organizational and time-management skills, with the ability to manage multiple projects and competing priorities under tight deadlines.Self-reliant, proactive, adaptable, and a fast learner, with the ability to work independently and take ownership of responsibilities.Strong teamwork and collaboration skills, with the ability to work effectively across global and cross-functional teams.Solid understanding of financial products and markets, including equities, fixed income, derivatives, and financial risk management, particularly market risk.Good understanding of portfolio management theory and risk management techniques.Technical proficiency in Python and SQL, with knowledge of AI prompting and generative AI tools.Knowledge of and experience with a variety of information technologies, data tools, and systems is preferred.Bachelors degree in Mathematics, Physics, Engineering, Economics, Finance, or a related quantitative discipline.Advanced qualifications or professional certifications in Finance, such as an M.Sc., MBA, CFA, FRM, or PRM, are considered an advantage.About MSCI:What we offer youTransparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall wellbeing.Flexible working arrangements, advanced technology, and collaborative workspaces.A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results.A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for our clients.Global Orientation program to kickstart your journey, followed by access to our Learning@MSCI platform, AI Learning Center , LinkedIn Learning Pro and tailored learning opportunities for ongoing skills development.Multi-directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles.We actively nurture an environment that builds a sense of inclusion belonging and connection, including eight Employee Resource Groups. All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride & Allies, Women in Tech, and Womens Leadership Forum.At MSCI we are passionate about what we do, and we are inspired by our vision - to power better decisions. Youll be part of an industry-leading network of creative, curious, and entrepreneurial pioneers. This is a space where you can challenge yourself, set new standards and perform beyond expectations for yourself, our clients, and our industry.MSCI strengthens global markets by connecting participants across the financial ecosystem with a common language. Our research-based data, analytics and indexes, supported by advanced technology, set standards for global investors and help our clients understand risks and opportunities so they can make better decisions and unlock innovation. We serve asset managers and owners, private-market sponsors and investors, hedge funds, wealth managers, banks, insurers and corporates.MSCI Inc. is an equal opportunity employer. It is the policy of the firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, gender, gender identity, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy (including unlawful discrimination on the basis of a legally protected parental leave), veteran status, or any other characteristic protected by law. MSCI is also committed to working with and providing reasonable accommodations to individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation for any part of the application process, please email and indicate the specifics of the assistance needed. Please note, this e-mail is intended only for individuals who are requesting a reasonable workplace accommodation; it is not intended for other inquiries.To all recruitment agenciesMSCI does not accept unsolicited CVs/Resumes. Please do not forward CVs/Resumes to any MSCI employee, location, or website. MSCI is not responsible for any fees related to unsolicited CVs/Resumes.Note on recruitment scamsWe are aware of recruitment scams where fraudsters impersonating MSCI personnel may try and elicit personal information from job seekers. Read our full note on careers.msci.com

This job is with Exolum, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.Making the world Move Exolum are an innovative fuel storage company with the priority of a green energy future operating globally. People are at the heart our expansion plans with a focus on developing our colleagues to reach their potential while accepting everyone as they are! Maintenance Administrator- variable site location- Permanent About the roleWe are looking for a highly organised and proactive Maintenance Administrator to join our Maintenance team. This role provides essential administrative and financial support, ensuring the efficient coordination of procurement activities, travel arrangements, documentation management, and maintenance processes. Acting as a key point of contact for the team, you will support operational effectiveness through accurate record keeping, budget administration, and compliance with company procedures.Key Responsibilities Liaise with procurement to ensure the purchase order process is always adhered to and is as seamless and time efficient as possible. Manage maintenance shared folder and document structure. Manage & publish the O&M call out rota. Provide support for Maximo purchase order raising for other internal departments. About You You are an organised administrator with experience providing effective business support within a technical, engineering, or operational environment. You have excellent attention to detail, strong communication skills, and the ability to manage multiple priorities while maintaining accuracy. Comfortable working with financial information and digital systems, you take pride in delivering excellent service and building positive working relationships across the business. Experience of procurement processes, basic accounting, and Microsoft Office applications would be advantageous. Competency model At Exolum we run a Competency Model which has been defined accordingly to our strategy, values and the geographies where we operate, making it a unique and exclusive document for Exolum. The competency Model is understood as the set of identifiable and measurable behaviours (skills, aptitudes and motivations, among others) that enable a person to achieve superior performance. We Care- We anticipate, identify and solve the needs of our internal and external clients. - Level 2We Do - We face opportunities and challenges with proactivity, energy and enthusiasm and we take responsibility for our actions - Level 2We Connect - We listen, share information and communicate clearly, transparently and openly - Level 2We Include - We welcome, respect and value the uniqueness of people. - Level 2We Get Together -We actively collaborate with other people in achieving shared goals - Level 2We Trust - We act with integrity and coherence with our values and we comply with the commitments acquired- Level 2We Think Different - We contribute, explore and experiment with new approaches to challenges without fear of being wrong - Level 1 About the Benefits Salary £26,000- £29,000 per annum depending on experience Pension – up to Employee 6% and Employer 9% Holiday – 30 days per annum Personalised career development plans Single Private Health Insurance via BUPA Healthcare Cash Plan Life Assurance x5 and Disability insurance Wellbeing Initiatives Employee Resource Groups – EDI Group, Employee Forum, Wellbeing Committee Study support (if applicable) About the Process The first step is to apply – please visit https://jobs.exolum.com/ to complete your application. Once your application has been reviewed, if you are successful, you will be invited to meet our amazing team and your potential new line manager for a face-to-face interview. Depending on the role, you may be required to attend a second stage interview so we can get to know you even more! About Equality, Diversity, and Inclusion Different people approach problems differently and we believe that diversity is the engine that fuels innovation. As an equal opportunity employer, we are committed to creating an inclusive environment where diverse voices are not only heard but also amplified. We recognise that our differences—when embraced with respect—drive smarter decisions, stronger performance, and a culture where everyone can be their authentic selves. Qualified applicants will receive consideration for employment without regard to race, sexual orientation, gender perception or identity, national origin, age, neurodiversity or any other legally protected status. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all candidates. To request an accommodation during the application or the recruiting process, please email: We are committed to a diverse and inclusive workplace. All applications are reviewed fairly and equally using a third-party blind recruiting solution (MeVitae) which removes any bias parameters. About your data The information provided by you will be used by Exolum to process your application and, if successful, in connection with your future employment with us. Any information held by us relating to you will be destroyed six months after the post has been filled. If we wish to retain your information for future vacancies, we will seek your express consent to do so. All processing of data will be in compliance with data protection laws. For further information on how we handle your data read our UK privacy notice for job applicants, employees, workers and agency workers which is available on our website: Disclosures and legal notices by country – Exolum

Contract: Permanent, full-time Protect Group helps businesses improve the customer experience and generate additional revenue through innovative technology. Since 2016, we've grown to support more than 400 partners across 75+ countries, with 12 offices worldwide. Our AI-driven technology integrates with online booking and sales platforms, helping businesses across travel, transport, hospitality, events and financial services offer more flexible, customer-friendly experiences. We're an ambitious, collaborative team that values accountability, fresh thinking and people who take ownership. We move quickly, learn from evidence and work together to solve meaningful problems. Pricing machine learning sits at the heart of our business. Our pricing engine dynamically sets protection rates across hundreds of partners and millions of transactions, directly influencing revenue and conversion for our partners. We're looking for a hands-on Senior Data Scientist to take a leading role in developing and improving this capability. Reporting to the Head of Data Science, your primary focus will be pricing optimisation: designing models, running experiments and turning commercial opportunities into reliable production systems. You'll also contribute to our wider machine learning work, including risk modelling and agentic AI systems for refund decision-making and automation. This is a role for someone who enjoys both developing sophisticated models and putting them into production. You'll help shape our technical direction while remaining close to the code and accountable for what we ship. You'll join a flat, high-trust team of data scientists and engineers, working closely with commercial, finance and product teams, as well as the wider technical teams behind our AI platform. • Pricing optimisation: Developing and improving dynamic pricing models across partners, products and markets., • Experimentation: Designing backtests, online experiments and always-on optimisation approaches to measure the effect of pricing changes., • Commercial modelling: Balancing revenue, conversion and customer value within pricing decisions., • Risk models: Building models that improve our understanding of claims, refunds and transaction-level risk., • Agentic AI systems: Creating graph-based, multi-step workflows using loops, branching, routing, tool use, state management, retries and human-in-the-loop controls., • Evaluation: Using regression sweeps, canary testing and LLM-as-judge scoring to determine what is ready to ship., • ML infrastructure: Building versioned training pipelines, model registries, scheduled jobs and deployments using Azure ML., • Owning the development and continuous improvement of our production pricing models., • Turning pricing opportunities into measurable hypotheses, experiments and production changes., • Evaluating pricing performance through backtesting, online testing and commercial metrics., • Developing Bayesian, multi-armed bandit and other optimisation approaches for dynamic pricing., • Working with commercial, finance and product teams to understand pricing performance and recommend action., • Building supporting risk models and agentic systems where they improve pricing, refund decision-making or operational efficiency., • Applying rigorous offline and online evaluation to everything you build., • Shipping reliable models through reproducible training pipelines, versioned artefacts, scheduled jobs, monitoring and alerting., • Raising the team’s technical standards through code and model reviews, mentoring and the development of reusable patterns., • Helping the Head of Data Science shape the team’s strategy and identify where investment in machine learning will have the greatest impact., • Communicating findings, trade-offs and recommendations clearly to both technical and non-technical audiences., • At least five years’ experience in data science or machine learning, including responsibility for models running in production., • Experience of insurance, protection, travel, fintech, risk modelling or another transaction-led industry., • Strong hands-on experience building pricing, revenue optimisation or commercially focused decision models., • Expert Python skills, including production-quality code, testing and code review, alongside strong SQL., • A solid grounding in machine learning techniques such as gradient boosting, GLMs, Bayesian methods and multi-armed bandits, or comparable experimentation and optimisation methods., • Experience designing, running and evaluating pricing experiments using both commercial and statistical measures., • The ability to connect model performance with commercial outcomes such as revenue, conversion and risk., • Hands-on experience designing, building and optimising agentic systems, particularly graph-based and iterative workflows involving loops, branching, routing, tool use and state management., • Experience evaluating LLM applications using approaches such as gold datasets, regression testing, LLM-as-judge scoring and canary testing., • Experience with cloud ML platforms - ideally Azure ML, Functions and Blob Storage - or the willingness to transfer your knowledge to Azure., • Experience with Git-based workflows, CI/CD and modern agent-assisted development tools such as Claude Code or Codex., • The ability to turn an ambiguous business problem into a deployed, monitored solution., • Strong commercial judgement and confidence discussing model decisions in terms of revenue and risk., • Clear written and verbal communication, including with non-technical audiences., • An evidence-led approach and experience mentoring others or providing technical leadership., • Awareness of GDPR and international data regulations., • Causal inference and large-scale experiment design., • MLOps, including model registries, artefact versioning and drift monitoring., • Streamlit or similar tools for internal applications and dashboards., • Experience with claims, refunds or customer operations. You don't need to match every item in this section. #J-18808-Ljbffr

This job is with MSCI, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.Your Team Responsibilities:Position OverviewThe APAC Client Service Analytics Lead is responsible for leading the Analytics Client Service organization across Japan, Greater China and Manila. This leadership role manages managers of Analytics Client Service Specialists and Analytics Client Service Analysts and is accountable for client success, service delivery, talent development, operational excellence, and strategic execution across the region.Scope of ResponsibilityProvide leadership for regional client servicing teams supporting institutional investors and wealth clients using MSCI Analytics solutions. Act as the senior client service leader for APAC and partner closely with Sales, Consultants, Product Management, Research, and Global Client Service leadership.Your Key Responsibilities:Strategic Client LeadershipServe as the senior escalation point for Analytics clients across APAC, building trusted relationships with key stakeholders and ensuring successful outcomes throughout the client lifecycle. Drive client retention, satisfaction, and long-term engagement through proactive servicing strategies and effective issue resolution.Regional Leadership & Talent DevelopmentLead and develop a high-performing management team responsible for Analytics Client Service Specialists and Analytics Client Service Analysts across Japan, Greater China, and Manila.Build leadership capability through coaching, succession planning, talent assessment, and ongoing development of team managers.Foster a culture of accountability, collaboration, innovation, and continuous improvement across geographically dispersed teams.Service Excellence & Operational ManagementOwn regional service delivery performance, ensuring efficient execution of support, onboarding, training, and client engagement activities.Drive operational excellence through effective capacity planning, workflow optimization, escalation governance, service metrics, and resource allocation.Leverage data and reporting to identify trends, improve team effectiveness, and enhance client outcomes.Risk Management & Decision MakingExercise sound judgment during high-impact client situations, balancing client needs, commercial objectives, operational constraints, and business risk.Provide leadership during critical escalations and business continuity events, ensuring appropriate stakeholder engagement and clear communication.Make timely decisions in ambiguous situations while knowing when broader regional or executive alignment is required.Client Success & Relationship ManagementEstablish a client-centric culture focused on delivering measurable client outcomes, adoption, and business value.Monitor client health, service trends, feedback, and risk indicators to identify opportunities for deeper engagement and early intervention.Ensure consistent and high-quality client experience across all APAC markets.Commercial Partnership & Business GrowthPartner closely with Sales, Coverage, and Consultant teams to support client retention, expansion opportunities, and revenue growth initiatives.Translate client insights into actionable recommendations that strengthen commercial relationships and improve service delivery.Represent the client perspective in strategic business discussions and contribute to regional growth objectives.Cross-Functional Leadership and InfluenceCollaborate with Product, Research, Financial Engineering, Data Operations, and global Client Service teams to address client priorities and influence product and service enhancements.Drive alignment across regional teams, ensuring consistent execution of global initiatives and best practices.Navigate complex organizational dynamics to resolve challenges and accelerate decision-making.Transformation & Change LeadershipLead servicing transformation initiatives, including Gainsight adoption, workflow modernization, and continuous improvement programs to improve scalability and client experience.Your skills and experience that will help you excel:8+ years of experience in financial services, investment analytics, risk management, client service, or related fields.Proven experience managing managers, with a track record of developing team leads and holding them accountable for outcomes, not just activityDeep knowledge of portfolio analytics, risk models, performance attribution, and institutional investment workflows. Deep, credible product knowledge of MSCIs analytics applications (BarraOne, BPM, RiskManager).Strong analytic, quantitative, and problem-solving skills, with understanding of financial topics such as modern portfolio theory, market portfolio construction, optimization, CAPM, multi-factor risk models, financial derivatives pricing models, market risk, liquidity risk, credit risk, and Value-at-Risk (VaR), and/or statistical topics such as probability theory, statistical inference, matrix theory, multivariate analysis, and time series analysisAbility to communicate complex concepts and methodologies clearly, in English, to senior management and clients, verbally and in writingStrong organizational skills with the ability to manage multiple markets and competing priorities under tight, short-term deadlinesAbility to work effectively across diverse cultures on a global, distributed teamAbout MSCI:What we offer youTransparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall wellbeing.Flexible working arrangements, advanced technology, and collaborative workspaces.A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results.A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for our clients.Global Orientation program to kickstart your journey, followed by access to our Learning@MSCI platform, AI Learning Center , LinkedIn Learning Pro and tailored learning opportunities for ongoing skills development.Multi-directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles.We actively nurture an environment that builds a sense of inclusion belonging and connection, including eight Employee Resource Groups. All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride & Allies, Women in Tech, and Womens Leadership Forum.At MSCI we are passionate about what we do, and we are inspired by our vision - to power better decisions. Youll be part of an industry-leading network of creative, curious, and entrepreneurial pioneers. This is a space where you can challenge yourself, set new standards and perform beyond expectations for yourself, our clients, and our industry.MSCI strengthens global markets by connecting participants across the financial ecosystem with a common language. Our research-based data, analytics and indexes, supported by advanced technology, set standards for global investors and help our clients understand risks and opportunities so they can make better decisions and unlock innovation. We serve asset managers and owners, private-market sponsors and investors, hedge funds, wealth managers, banks, insurers and corporates.MSCI Inc. is an equal opportunity employer. It is the policy of the firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, gender, gender identity, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy (including unlawful discrimination on the basis of a legally protected parental leave), veteran status, or any other characteristic protected by law. MSCI is also committed to working with and providing reasonable accommodations to individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation for any part of the application process, please email and indicate the specifics of the assistance needed. Please note, this e-mail is intended only for individuals who are requesting a reasonable workplace accommodation; it is not intended for other inquiries.To all recruitment agenciesMSCI does not accept unsolicited CVs/Resumes. Please do not forward CVs/Resumes to any MSCI employee, location, or website. MSCI is not responsible for any fees related to unsolicited CVs/Resumes.Note on recruitment scamsWe are aware of recruitment scams where fraudsters impersonating MSCI personnel may try and elicit personal information from job seekers. Read our full note on careers.msci.com

This range is provided by Attis. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Direct message the job poster from Attis Python Full Stack Engineer (Geospatial) 12+ month contract Fully Remote We are seeking a Python Full Stack Engineer to join a ground-breaking program that combines innovative software development with strategic nature recovery initiatives. This is a chance to play a key role in building a more sustainable future. You’ll be a core part of a multi-disciplinary team, working alongside a BA, Designer, Tech Lead, Frontend Engineer, and User Researcher. We are looking for a consultant, not just an engineer, and we value your ability to communicate effectively with clients, collaborate and innovate. The team is AI-enabled, meaning you will have the opportunity to experiment and use AI tools like Cursor to accelerate your work and improve outcomes. This is a remote role, with occasional travel to our offices in Leeds, Manchester, or London (approximately once a month). • Strong proficiency in Python., • Expertise in geospatial data processing, including programmatic spatial analysis and automated geoprocessing. You should be comfortable with libraries like GeoPandas or GDAL/OGR for tasks such as data cleaning and format conversion., • Experience with Docker., • Familiarity with Node.js., • Experience or interest in working with AI tools. The client is looking to interview candidates at short notice with the aim of commencing the project in early December. If you feel you are suitable and would like to be considered, then please apply via the link provided. No terminology in this advert is intended to discriminate on the grounds of age, sex, race, religion or belief, disability, pregnancy and maternity, marriage and civil partnership, sexual orientation, gender, and/or gender reassignment, and we confirm that we are happy to accept applications from anyone for this role. Attis Global Ltd operates as an employment agency and employment business. More information can be found at attisglobal.com Mid-Senior level Contract Information Technology Industries: Software Development, IT System Custom Software Development, and Information Services #J-18808-Ljbffr

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Start Delivering with Uber Eats.Delivering with Uber Eats offers a flexible way of making money.It is a great alternative to traditional part-time delivery jobs or other part-time gigs, temp jobs or seasonal work.See how delivering with the Uber app can help you make money flexibly.You decide how mu

Start Delivering with Uber Eats.Delivering with Uber Eats offers a flexible way of making money.It is a great alternative to traditional part-time delivery jobs or other part-time gigs, temp jobs or seasonal work.See how delivering with the Uber app can help you make money flexibly.You decide how mu

Start Delivering with Uber Eats.Delivering with Uber Eats offers a flexible way of making money.It is a great alternative to traditional part-time delivery jobs or other part-time gigs, temp jobs or seasonal work.See how delivering with the Uber app can help you make money flexibly.You decide how mu

Start Delivering with Uber Eats.Delivering with Uber Eats offers a flexible way of making money.It is a great alternative to traditional part-time delivery jobs or other part-time gigs, temp jobs or seasonal work.See how delivering with the Uber app can help you make money flexibly.You decide how mu