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Claims Ontologist (Underwriter) Preferred location: London (Remote or hybrid possible) Permanent role Need 12+ years of experience We have an urgent requirement come from a client for Insurance specific ontology specialists who understand insurance domain very well. So underwriting ontologist, claims ontologist. Role Overview: We are seeking a skilled Underwriter with expertise in claims ontology to design, manage and optimise structured knowledge frameworks that support claims processing, underwriting decisions and data-driven insights within the insurance domain. Key Skills & Experience: • Experience in insurance underwriting and/or claims (UK market preferred)., • Strong understanding of ontology, taxonomy design, and semantic data modelling., • Familiarity with data standards, knowledge graphs, or tools such as RDF/OWL/SPARQL., • Analytical mindset with ability to bridge business and technical stakeholders., • Knowledge of regulatory frameworks and insurance data governance in the UK. Key Responsibilities: • Develop and maintain claims ontologies, taxonomies and data models aligned with underwriting and claims processes., • Collaborate with underwriters, actuaries, and data teams to standardise claims data definitions and relationships., • Enhance claims automation, decisioning and fraud detection through semantic modelling., • Ensure consistency and quality of claims data across systems and platforms., • Support integration of ontology models into analytics, AI, and digital claims solutions., • Translate business requirements into structured data frameworks and logic models.

Senior Catastrophe Risk Analyst I'm working with a leading global specialty insurer to hire a Senior Catastrophe Risk Analyst into their International Portfolio Analytics team. This is a great opportunity to join a business evolving its catastrophe capability-moving towards more forward-looking, analytics-driven decision making with strong underwriting interaction. The Role • Pre-underwriting catastroph... ZIPC1_UKTJ

About the Company Lynx Recruitment are supporting an award-winning integrated brand performance agency, bringing together specialists across media, creative, social, analytics, UX, data science, search marketing, and PR, who help both consumer and B2B brands navigate an increasingly complex digital landscape through a combination of strategic planning, cutting-edge technology, and data-driven insight. Role Overview We are looking for an Account Executive to drive the planning and execution of high-impact growth strategies. This role blends retail fundamentals, advertising performance, and emerging technologies such as AI-driven optimisation and advanced media measurement. You will manage client accounts, ensuring operational excellence across retail and advertising activities. Working closely with senior stakeholders, you will contribute to campaign strategy, performance optimisation, and client reporting, while also playing a key role in evolving marketplace offering. Key Responsibilities • Deliver commercially focused marketplace strategies and manage day-to-day campaign performance, • Support the development and execution of integrated strategies across retail, advertising, and content, • Plan, launch, and optimise ad campaigns (Sponsored Products, Sponsored Brands, Sponsored Display, DSP), • Conduct keyword, competitor, and category research to improve visibility and performance, • Optimise product detail pages, including content, imagery, and brand storefronts, • Use automation tools and AI-driven platforms to enhance efficiency and results, • Monitor performance and provide clear, actionable insights and reporting to clients, • Manage bids, budgets, targeting, and testing strategies to drive continuous improvement, • Stay up to date with ecosystem developments, tools, and best practices, • Degree educated (2:1 or above), ideally in business, marketing, economics, or a quantitative discipline, • 1-2 years of experience in advertising, marketplace management, or retail media, • Hands-on experience managing Sponsored Ads campaigns, • Experience working with E-commerce or marketplace brands (agency or retail environment preferred), • Strong analytical skills with the ability to turn data into actionable insights, • Confident communicator with experience presenting performance insights, • Strong organisational skills with the ability to manage multiple priorities, • Work with a collaborative team of specialists across multiple disciplines, • Opportunity to shape and grow marketplace capabilities, • Exposure to innovative tools, technologies, and leading brands, • Clear development Pathway within a fast-growing environment

Your new companyWe're partnering with a growing, technology-driven organisation that develops software used by businesses to enhance their digital capabilities. Operating globally, the company provides a flexible platform that supports a wide range of use cases across modern digital environments. With a strong focus on continuous improvement and innovation, the organisation is investing in its engineering and data functions as it scales, offering opportunities to work on complex systems in a collaborative, forward-thinking setting.Your new roleAs a Staff Engineer, you will act as a technical leader within a high-performing engineering team, driving architectural decisions and ensuring the scalability, reliability, and performance of a modern, distributed platform.Key responsibilities include: • Designing and evolving highly scalable, distributed backend systems, • Setting standards for engineering excellence, observability, and operational best practices, • Collaborating closely with Product, UX, and Engineering teams to deliver impactful features, • Leading on system architecture and long-term technical strategy, • Tackling complex challenges around performance, scalability, and data-intensive workloads, • 8+ years' experience in software engineering, with strong fundamentals in distributed systems and system design, • Proven background building and operating large-scale backend platforms in production, • Experience working within a product-led environment, • Hands-on experience with cloud-native technologies, containers, and CI/CD pipelines, • Java, • Distributed systems architecture, • API design, • Previous experience at Staff / Principal / Tech Lead level, • Exposure to high-volume, low-latency data platforms or analytics systems, • Work on cutting-edge analytics and data infrastructure, • Join a high-growth, product-driven SaaS organisation, • Significant ownership and ability to shape technical direction, • Collaborative, modern engineering culture with a focus on innovation Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk

MLOps Platform Manager (Databricks)London £550-£650 Outside IR35 Per Day Fully Remote Start date: ASAP The Company They are a large, complex organisation with a strong focus on data, analytics and AI to support business critical decision making. The business operates at enterprise scale, with a mature data platform estate and a growing demand for robust, well governed MLOps capabilities. Collaboration, operational excellence and responsible use of data and AI sit at the heart of how they work. The Role and Deliverables Own the day to day operation of the Databricks platform and associated MLOps services, ensuring availability, performance and stability. Establish and run service management processes including incident, problem and change management, with clear documentation and escalation paths.Define and deliver standardised MLOps patterns covering model development, deployment, monitoring and lifecycle governance.Lead platform releases and upgrades, including planning, testing and communication to stakeholders.Implement and maintain security, risk and compliance controls across data and machine learning workloads.Manage platform roadmap, cost optimisation and supplier relationships to maximise value and developer experience. Your Skills and Experience Strong experience operating Databricks in production, including workspace administration, cluster policies, jobs and data governance controls.Proven capability delivering MLOps practices end to end, from CI/CD and automation through to model monitoring and observability.Experience owning platform operations and service management in a complex, enterprise environment.Confidence working with security, risk and governance stakeholders to evidence controls and support audits.Ability to engage and influence across data engineering, data science and analytics teams, balancing speed, cost and risk. How to Apply: If this contract sounds like a good fit for your experience and interests, please apply to find out more.

Robert Half have partnered with a London-based pharmaceutical manufacturing organisation who are looking to engage a Senior Data Engineer to play a key role in scaling and maturing their data function. This is an initial 12-month contract, playing a key role in stabilising and improving a currently fragmented data architecture while introducing best-practice engineering and delivery standards. The role requires 1 day per week onsite in London. Responsibilities: • Lead the design and implementation of a clear, structured data engineering framework, • Build, enhance, and maintain data pipelines within Snowflake, • Develop transformations and data models using DBT, • Orchestrate workflows using Apache Airflow, • Write clean, modular Python code for data engineering solutions, • Improve pipeline reliability, performance, and observability, • Introduce and embed CI/CD, testing, and deployment best practices (Azure DevOps), • Define and implement clear data domains and schemas, • Address ongoing ETL failures and long-running jobs, • Work closely with technical and non-technical stakeholders in an Agile delivery environment, • Contribute to roadmap definition and future platform evolution (including potential Databricks adoption)Skills:, • Strong hands-on experience as a Data Engineer at Senior or Lead level, • Extensive experience with Snowflake as a core data platform, • Advanced SQL with strong business logic and modelling capability, • Experience with DBT, Airflow, and Python, • Experience building modular, scalable solutions within Snowflake, • CI/CD pipeline experience, ideally using Azure DevOps, • Exposure to Docker and modern software engineering practices, • Strong understanding of software delivery lifecycles and engineering best practices, • Background in software engineering (rather than purely analytics-focused roles), • Experience working in Agile / Scrum delivery environments, • Initial 12-month contract, • London-based, 1 day per week onsite, • Competitive day rate Robert Half Ltd acts as an employment business for temporary positions and an employment agency for permanent positions. Robert Half is committed to diversity, equity and inclusion. Suitable candidates with equivalent qualifications and more or less experience can apply. Rates of pay and salary ranges are dependent upon your experience, qualifications and training. If you wish to apply, please read our Privacy Notice describing how we may process, disclose and store your personal data:

Lead Data Scientist England£450-£480 Outside IR35RemoteThe Company They are a specialist organisation working at the forefront of AI-driven customer engagement. Their focus is on enabling highly personalised, real-time decisions across digital channels using advanced analytics and machine learning. The business combines deep domain expertise with strong delivery capability, supporting enterprise clients across multiple sectors.The Role and Deliverables You will take ownership of end-to-end data science delivery, from problem definition through to deployment in live environments. * Design, build, and deploy machine learning models within Pega-based decisioning platforms. * Lead model development across feature engineering, training, validation, and ongoing performance monitoring. * Work closely with application and logic developers to embed models into operational decision workflows. * Develop statistical and machine learning models for personalisation, propensity scoring, and next-best-action use cases. * Design and run experiments, including A/B testing, to quantify business impact. * Provide technical leadership and mentoring to other data scientists, while engaging confidently with client stakeholders.Your Skills and Experience * Strong experience delivering data science solutions in client-facing or consulting environments. * Advanced capability in Python and or R, with hands-on use of modern machine learning libraries. * Deep understanding of statistical modelling, experimentation, and model evaluation techniques. * Experience deploying and operating models on cloud platforms such as AWS, GCP, or Azure. * Proven ability to communicate complex technical concepts to non-technical audiences. * Experience with Pega Customer Decision Hub and Adaptive Decision Manager in production environments is highly desirable. * Exposure to real-time decisioning, customer engagement, or personalisation use cases is advantageous. * Familiarity with MLOps practices and model monitoring frameworks is beneficial.How to Apply If you are looking for a senior data science role where you can combine technical depth with real client impact, apply now to learn more.

Lead Data Engineer Hands-on technical leadership building data systems that actually work We're looking for a Lead Data Engineer to join an enterprise data engineering capability and play a critical role in designing, building, and improving real-world data systems. This is not a line-management role. Instead, it's a senior, hands-on technical leadership position for someone with deep data engineering experience who leads through delivery, judgement, and technical credibility rather than hierarchy. You'll work in a complex environment spanning legacy platforms, modern cloud services, and evolving data needs. The challenge isn't greenfield design - it's improving what exists, fixing what's broken, and helping teams use data more effectively and responsibly. This role suits someone who enjoys rolling up their sleeves, tackling difficult problems, and seeing things through end-to-end. What you'll be doing You'll act as a senior technical anchor for data engineering work, contributing directly while guiding others through example. You will: • Design, build, and enhance enterprise-scale data pipelines, platforms, and data services, • Lead complex data engineering work end-to-end - from problem definition and exploration through build, testing, and operational use, • Work directly with technical and non-technical stakeholders to translate real operational problems into effective data solutions, • Analyse and synthesise complex datasets from multiple sources, shaping how data is structured, validated, and consumed, • Provide technical leadership and direction to data engineers and adjacent roles through design decisions, code, and delivery support, • Improve data sharing, onboarding of new data sources, and interoperability across teams and systems, • Introduce and evaluate new tools, patterns, and technologies where they genuinely add value - balancing innovation with pragmatism, • Build robust, production-grade solutions, not proofs of concept, • Treat metadata, lineage, and data quality as first-class engineering problems, • Diagnose and resolve complex data and platform issues, often in constrained or imperfect environments Essential experience: • Significant, hands-on experience as a Senior or Lead Data Engineer working on complex, real-world systems, • Strong Python and Spark skills, with evidence of building and maintaining production data pipelines, • Deep understanding of the full data engineering lifecycle: ingestion, transformation, storage, serving, and reuse, • Strong experience designing data integrations, including working with diverse data sources and legacy systems, • Proven ability to design and apply data models that support analysis, operational use, and long-term maintainability, • Solid understanding of data security, compliance, and governance, built into systems by design, • Experience working within established data development practices (version control, testing, deployment, change management), • Ability to communicate clearly between highly technical teams and non-technical stakeholders, • Persistence and resilience when dealing with messy data, legacy constraints, and organisational complexityDesirable experience, • Experience with cloud-based data ecosystems (including AWS services) alongside existing legacy platforms, • Exposure to large-scale enterprise data or analytics platforms, • Rotating across teams or problem domains, adapting to different delivery contexts Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.

Senior Machine Learning Engineer London, Hybrid (Twice Per Week) Up to £110,000 + 20% BonusThis is an opportunity to take ownership of end to end machine learning delivery in a role that blends technical depth with real world impact. You will work on production grade ML systems that directly improve operational and commercial outcomes, with the backing of a highly skilled, collaborative data team.The Company They are a specialist, data led organisation applying advanced analytics and machine learning to solve complex commercial problems. Their work spans the full lifecycle of data products, from discovery through to deployment, with a strong focus on building robust, scalable solutions. The environment is delivery focused, technically ambitious, and designed for people who want their work to make a measurable difference.The Role You will play a key role in designing, building, and productionising machine learning solutions across a range of use cases. Working closely with data scientists, data engineers, and delivery colleagues, you will help set technical standards and ensure solutions are production ready. Key responsibilities include: • Building and deploying machine learning models into live production environments, • Designing and maintaining MLOps workflows, including model lifecycle management, • Developing APIs and containerised services to support ML products, • Implementing DevOps best practices across development and production, • Collaborating cross functionally to align data, modelling, and business requirementsYour Skills and Experience, • Strong commercial experience developing machine learning solutions in Python, • Solid understanding of the Python ML ecosystem including libraries such as NumPy, pandas, and scikit learn, with exposure to PyTorch or TensorFlow, • Experience building and deploying containerised services and APIs, • Working knowledge of SQL and data driven application development, • Hands on experience with at least one major cloud platform such as AWS, GCP, or Azure, • Familiarity with MLOps tooling, workflow orchestration, or feature stores is highly beneficialWhat They Offer, • Salary up to £110,000 plus a 20% bonus, • Hybrid working with two days per week in the London office, • Exposure to varied, high impact machine learning projects, • Clear scope for technical ownership and career progression, • A collaborative culture with strong investment in data and AI capability

We're looking for a kind, compassionate and resilient Learning and Development Partner to join our People Team located at our Head Office in Islington. £30,678.05 per annum, working 35 hours per week. This is a hybrid role with a minimum of two days in the office each week, normally Tuesdays and Thursdays. Our benefits include: Annual leave increasing up to 30 days with length of serviceSeason ticket loans for public transport travel to workA generous pension - we will contribute up to 8% (via salary exchange), and life assurance cover of 3x annual pensionable salary (T&Cs apply)Exclusive discounts and cashback via Reward Gateway and opportunity to buy a Blue Light CardFully paid induction programme and further trainingILM courses and Apprenticeship ProgrammesCycle to work schemeEmployee Assistance Programme for 24-7 confidential supportOnline wellbeing resourcesQuarterly Staff Awards to reward & recognise our amazing staff's commitment and contribution All applicants must be legally eligible to work in the UK by the start of employment as Look Ahead are not able to offer sponsorship. This is a fantastic opportunity for someone looking to start a career in Learning & Development and build experience across a busy, supportive L&D function. Working across the L&D team, you will support the administration, coordination and delivery of all Look Ahead's staff training and development programmes student placements, apprenticeships, Diversity & Inclusion and Wellbeing initiatives. You will coordinate workshops from enrolment through to completion, maintain training records, support internal communications to promote L&D activity and encourage high levels of engagement, attendance and compliance with all training and courses. Responsible for ensuring all information is accurate and up to date on the LMS platform (currently MyLearning). What you'll do: Training Courses/ProgrammesSchedule and manage training workshops and delegate communicationsLiaise with and maintain relationships with external training providersProcess professional development applications and book delegates onto relevant in-house programmes or apprenticeshipsKeep all training information, materials and records updated across the businessAdminister and monitor attendance, completions and compliance requirementsMaintain and update tracking and monitoring spreadsheets regularlyManage training facilities, equipment and room configuration Coordinate learning analytics and produce monthly reporting on attendance, completions and KPIsManage the end-to-end induction process from booking new starters, marking attendance and deliver day 1 induction on a rotaShare training evaluation feedback with trainers and identify areas for improvementCo-ordinate delegate lists for trainers and venues and joining instructions for learners weekly for upcoming training events Student PlacementsRespond to and process student and volunteer placement enquiriesProvide guidance to potential applicants and ensure vetting complianceMaintain accurate tracking systems and provide monthly progress updates to managersSupport with onboarding processes and coordination of relevant induction elementsLiaise with internal and external stakeholders to ensure a consistent placement experience ApprenticeshipsSupport the organisation and marketing of apprenticeships opportunitiesMonitor activity, attendance, milestones and qualification progress for recruited apprenticesMaintain structured reporting and make recommendations for programme improvementsSupport attendance at job fairs, recruitment events or school/college events as required GeneralMaintain L&D and Student Placement shared inboxes daily in line with Service Level Agreements (SLAs)Promote diversity, inclusion and Look Ahead's employer brand through internal communications, including Workplace and intranet postsSupport the implementation of the Inclusion & Diversity Action Plan, Wellbeing initiatives and engagement feedback actions with the Recruitment, Training and Talent ManagerEnsure all activity is compliant with health and safety requirementsSeek feedback from stakeholders to identify opportunities for improvementSupport People Team projects and organisational development work as required This is not an exhaustive list of all the duties and responsibilities that may be required from time to time and is subject to change in accordance with the needs of Look Ahead . About you: Organised with good attention to detail and able to prioritise effectivelyKeen to deliver a high level of customer focused serviceResponsive to queries and issues and able to come up with effective solutions that meet the business and customer needsStrong communicator who is able to easily build effective working relationshipsAdaptable and resilient under pressureDecisive and able to prioritise and manage multiple tasksKeen interest in Learning & DevelopmentPositive team player who is values driven and contributes to a supportive team culture and works in a collaborative way across the People team, the wider organisation and with stakeholders What you'll bring: Essential: Strong administrative and IT skills, including Microsoft OfficeConfident in using learning management systems or willing to learnExcellent communication and customer service skillsConfident to facilitate induction trainingComfortable producing reports, analysing data and maintaining spreadsheets Please see our jobs site for the full job description.

Marketing Analyst £40,000 - £50,000 Hybrid - West London (4x days per week onsite) This is an opportunity to join a growing analytics team where your work directly influences client strategy and commercial outcomes. You will work with rich online and offline datasets, turning complex data into clear, actionable insight that shapes digital media performance and long term growth. The Company They are a well established organisation operating at the intersection of data, digital media and marketing analytics. The business supports a diverse portfolio of clients, using advanced data capabilities to drive smarter decision making and measurable impact. Collaboration is central to their culture, with analytics embedded across commercial, technical and client-facing teams. They invest in modern tools and encourage analysts to bring new ideas and approaches. The Role • Deliver analytics across multiple client accounts, supporting data driven media and marketing strategies., • Analyse campaign performance to identify opportunities for optimisation and improved outcomes., • Work hands-on with large datasets, building queries and conducting custom analysis using SQL., • Translate complex findings into clear insights for non-technical stakeholders., • Partner closely with sales, account management, media delivery and product teams., • Contribute ideas and creative solutions that improve how analytics is used across the business. Your Skills and Experience • Strong commercial experience in analytics within a client-facing or agency environment., • Confidence working with customer, transactional or loyalty datasets., • Practical experience using SQL or a similar querying language., • Experience with data visualisation or business intelligence tools such as Tableau., • Solid Excel skills and comfort working with large, complex data sets., • Understanding of digital media or advertising technology is beneficial. What They Offer • Competitive salary with a comprehensive benefits package., • Hybrid working model with time spent collaborating in a London office environment., • Exposure to a wide range of clients, products and data challenges., • Clear opportunities for progression and development within analytics and data., • A collaborative culture that values curiosity, autonomy and impact. How to Apply If you are looking to grow your career in account-focused analytics and want to make a tangible impact through data, apply today.

Contract Data Architect - London Market - £700/pd Please note - this role will require you to work from the Central London office 2-3 days per week. You must be UK based with the unrestricted right to work in the UK to be eligible for this role. This organisation is not able to offer sponsorship. I am working with my London Market broker client, a forward-thinking organisation modernising how data flows across the insurance value chain. This role sits at the heart of a high-profile broker-side transformation, combining deep London Market expertise with modern data and emerging AI capabilities. The Opportunity My London Market broker client is undertaking a strategic data initiative to design a future-state broker data model and clearly define how data integrates across core market and internal systems. The work will directly underpin new digital and AI-enabled capabilities, enabling the broker to offer the London Market something genuinely new in terms of insight, automation, and decision-making. This is a hands-on architecture role requiring strong engagement with business stakeholders, technology teams, and delivery partners. Key Responsibilities • Design and define a broker-centric canonical data model for the London Market, • Map and document data integration flows across broker platforms and market systems (e.g. policy, placement, claims, bordereaux), • Work closely with business, underwriting, and placement stakeholders to align data structures with real-world broker processes, • Define clear data ownership, semantics, and quality standards, • Support integration patterns and architectural decisions across legacy and modern platforms, • Enable downstream AI and advanced analytics use cases by ensuring data is structured, accessible, and fit for purpose, • Collaborate with engineering and delivery teams to ensure the model is practical, implementable, and scalableRequired Experience, • Proven Data Architect experience within the London Market insurance ecosystem, • Strong understanding of broker operations and market interactions, • Hands-on experience creating enterprise or domain data models, • Experience defining data integration approaches across multiple systems, • Comfortable working in complex, multi-stakeholder environments, • Able to translate between business requirements and technical design, • Experience supporting modern data platforms (cloud, APIs, event-driven or integration layers)Highly Desirable, • Experience working with emerging AI technologies, advanced analytics, or data products, • Familiarity with London Market modernisation initiatives and digital market infrastructure To apply for this role please submit your CV or contact David Airey on or at . Tenth Revolution Group are the go-to recruiter for Data & AI roles in the UK offering more opportunities across the country than any other recruitment agency. We're the proud sponsor and supporter of SQLBits, Power Platform World Tour, and the London Fabric User Group. We are the global leaders in Data & AI recruitment.

ERP & Applications Manager (SAP ECC > S/4HANA) – global manufacturer | £110K + Bonus + Benefits | London (Hybrid 4 days in HQ) Our client is a global manufacturing business currently operating on SAP ECC and preparing for a transition to SAP S/4HANA. The company operates manufacturing and commercial facilities across the United States, Europe, Brazil, India, and China. Position Summary: The ERP & Applications Manager is responsible for leading the strategy, implementation, and ongoing management of the company’s enterprise systems, with a primary focus on SAP S/4HANA ERP and the broader enterprise application landscape. In addition to ERP leadership, the role will oversee key application capabilities including data, analytics, and AI initiatives, working closely with the Data & Analytics function to ensure enterprise systems enable better insights, automation, and decision-making across the organization. This role will manage internal resources and external partners to ensure enterprise platforms are stable, scalable, and aligned with business priorities. Key Responsibilities: The responsibilities of the position include, but are not limited to, the following: • Serve as the primary IT leader responsible for the SAP S/4HANA ERP platform and related business processes., • Support and lead ERP transformation initiatives, including system enhancements, upgrades, integrations, and process optimization., • Maintain an enterprise applications roadmap aligned with business priorities and digital transformation initiatives., • Provide leadership and support for data, analytics, and AI-enabled capabilities across enterprise applications., • Partner with the Data & Analytics team to ensure enterprise platforms support advanced analytics, reporting, and data-driven decision making., • Manage relationships with technology vendors, system integrators, and implementation partners., • Oversee vendor performance, contracts, and service delivery to ensure strong outcomes for ERP and application initiatives. Requirements: • Bachelor’s degree in Information Technology, Computer Science, Business Systems, or related field required. Master’s degree or MBA preferred, • Experience with SAP S/4HANA and proven experience supporting or leading ERP implementation or transformation programs, • Experience working across ERP modules such as Finance, Supply Chain, Manufacturing, Procurement, or Sales, • Experience managing enterprise application portfolios beyond ERP is strongly preferred, • Experience supporting data, analytics, or AI-enabled initiatives is preferred, • Experience working with external system integrators or implementation partners An Equal Opportunity Employer, or client celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, gender identity, sexual orientation, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

Company: Live Nation Department: International Data and Audience Location: Farringdon, London Reports to: Director, BI & Analytics, International Working Hours: Full time Job Type: Permanent Role Description We’re looking for an Analytics Engineer to play a critical role in enabling data access, platform operations, and analytical data modelling across Live Nation's international data ecosystem. You will work with rich datasets and manage data workflows in large-scale data environments, ensuring reliable and performant data access in Databricks, BigQuery, Tableau and Data Studio. You will lead the design and development of scalable data models and transformation layers that enable self-service analytics, while supporting high-impact BI outputs where needed. Working closely with Data Engineering, analysts, and business stakeholders, you will drive data migration, integration, and platform improvements, while contributing to the delivery of high-quality dashboards and analytical outputs. What we can offer you Live Nation offers impressive employee benefits including tickets to shows and festivals and unlimited annual leave. The Farmiloe Building in Farringdon, London is a beautiful office to work in. Staff can enjoy use of arcade games in the basement games room, onsite gym equipment plus fitness and meditation classes. In addition to this, the office has a fully stocked complimentary coffee bar with barista to serve you your favourite coffee as you walk into the office and offers heavily subsidised lunch options. We hold regular staff events in our atrium stage space including hosting speakers and open mic nights to showcase Live Nation employee talent. Who you are Competencies / Skills / Knowledge / Experience • Proven experience in Analytics Engineering or data modelling / BI engineering roles, with ownership of data platforms and enablement of analyst teams, • Experience designing and owning robust data pipelines, modular data models, and scalable analytical datasets in large-scale, cloud-based environments, • Strong hands-on expertise with Databricks, BigQuery, and advanced SQL, building performant transformation layers (Python a plus), • Comfortable working across multiple stages of the data lifecycle, from ingestion and transformation through to modelling and visualisation, • Ability to deliver production-grade BI outputs (Tableau, Looker Studio) and translate data models into performant semantic layers, • Experience enabling self-service analytics through well-structured datasets, testing, version control, and documentation, • Strong understanding of platform administration (e.g. service accounts), performance optimisation, data quality, and governance within modern data platforms, • Strong stakeholder collaboration skills, partnering cross-functionally with Data Engineering, Analytics, and regional teams Behaviours • Analytical, proactive mindset with strong problem-solving ability and business acumen, • Comfortable working in fast-paced, cross-functional environments, with a continuous learning mindset What the role includes • Lead and evolve the Databricks analytics platform, ensuring scalable, governed, and high-quality data for analytics and BI use cases, • Manage and optimise data workflows across Databricks and BigQuery, including migration and consolidation to improve performance, efficiency, and reliability, • Design and implement scalable, reusable data models and transformation layers using SQL and Python, • Develop and maintain core analytical datasets (e.g. customer, behavioural, reporting layers) aligned to best practices in modelling and performance optimisation, • Support and Enhance BI solutions (Tableau / Google Data Studio), ensuring performant data connections and high-impact dashboard delivery where needed, • Enable analysts through data access, query optimisation, and best practices for working with centralised data models, • Manage service accounts and platform configurations, ensuring secure and reliable data access, • Partner with local stakeholders to standardise metrics, data definitions, and transformation logic across regions Equal Opportunities We are passionate and committed to our people and go beyond the rhetoric of diversity and inclusion. You will be working in an inclusive environment and be encouraged to bring your whole self to work. We will do all that we can to help you successfully balance your work and homelife. As a growing business we will encourage you to develop your professional and personal aspirations, enjoy new experiences, and learn from the talented people you will be working with. It’s talent that matters to us and we encourage applications from people irrespective of their gender identity, race, sexual orientation, religion, age, disability status or caring responsibilities. The Company Live Nation Entertainment is the world’s leading live entertainment company, comprised of global market leaders: Ticketmaster, Live Nation Concerts, and Live Nation Media & Sponsorship. Ticketmaster is the global leader in event ticketing with over 500 million tickets sold annually and more than 12,000 clients worldwide. Live Nation Concerts is the largest provider of live entertainment in the world promoting more than 40,000 shows and 100+ festivals annually for nearly 4,000 artists in over 40 countries. These businesses allow Live Nation Media & Sponsorship to create strategic music marketing programs that connect over 1,000 brands with the 98 million fans that attend Live Nation Entertainment events each year. APPLICATION DEADLINE: Sunday 17th May 2026. We reserve the right to close applications at any time so encourage early application where possible. #LI-SL1 Live Nation Entertainment will never request payment or equipment purchases as part of the hiring process. Recruiters will only contact candidates from official Live Nation or affiliated brand email domains.

Senior Data Scientist Locations: London, or Glasgow or Northampton We are currently partnering with a leading financial institution, to recruit an experienced Senior Data Scientist to join a high-impact analytics and innovation team. This is a fantastic opportunity for a data professional who is passionate about using advanced analytics, AI, and machine learning to influence strategic decision-making at scale. The Opportunity As a Senior Data Scientist, you will play a key role in transforming complex and high-volume datasets into meaningful, actionable insights that directly support business growth, innovation, and competitive advantage. Working closely with a range of stakeholders across the bank, you’ll apply advanced analytical techniques to solve real-world problems within a highly regulated environment. This role offers exposure to cutting-edge data science initiatives, alongside the chance to influence long-term strategy within one of the UK’s most established financial services organisations. Key Responsibilities • Analyse large, complex datasets to uncover trends, patterns, and insights that inform strategic decisions, • Design, develop, and deploy statistical and machine learning models to solve business problems, • Apply AI and advanced analytics techniques to enhance decision-making and operational efficiency, • Write high-quality, production-ready Python code and contribute to shared analytics codebases, • Query and manipulate large datasets using SQL and PySpark in distributed data environments, • Communicate analytical insights clearly to both technical and non-technical stakeholders, • Strong background in statistical analysis and modelling, • Advanced programming skills in Python, • Advanced knowledge of machine learning and AI techniques, • Experience within financial services or strong understanding of banking products, risk frameworks, and regulation Why Apply? • Join a globally recognised financial institution undergoing significant digital and data transformation, • Work on high-visibility projects that directly shape business strategy, • Access long-term career development and progression opportunities, • Flexible location options across London, Glasgow, or Northampton, • Hybrid working model and supportive, collaborative team culture If you’re an experienced Data Scientist looking to take the next step in your career within a prestigious and forward-thinking organisation, we’d love to hear from you. Apply in the first instance with your CV.

NetSuite Administrator | Hyper-Growth Retail Business | Temp-to-Perm Harmonic is delighted to be working exclusively with one of the UK's fastest-growing Retail/Ecommerce businesses in their search for a NetSuite Administrator to join the team during an exciting period of scale. This role can be offered on an initial contract basis with strong potential to transition into a permanent position. The Client Our client has successfully scaled at approximately 60% year-on-year for the past 7 years and now operates with a headcount of circa 100 and turnover of £60m. They've established themselves as a true outlier within their niche product category, combining strong commercial performance with an ambitious growth strategy. Reporting into a high-calibre CFO with a proven track record of developing high-performing teams, the business offers a sociable, collaborative, and fast-paced working environment. The culture is dynamic and values-driven, with a clear focus on building scalable infrastructure to support continued expansion. As part of this journey, they are now looking for a NetSuite Administrator to take ownership of the system, ensuring it is optimised, scalable, and aligned with the needs of Finance, Operations, and the wider business. The Role This is a hands-on, business-critical position where you will act as the internal NetSuite expert, owning the day-to-day administration, configuration, and continuous improvement of the system. You will work closely with Finance, Operations, and Data teams to ensure NetSuite delivers accurate, reliable data and supports efficient processes as the company scales. Duties • Act as the key internal owner and expert for NetSuite across the business, • Manage day-to-day administration including workflows, saved searches, reports, dashboards, roles, permissions, and system controls, • Provide ongoing support to Finance and Operations teams, troubleshooting issues and improving system usability, • Support ongoing system enhancements, implementations, and integrations, • Lead testing cycles (UAT, regression testing) and coordinate system changes to ensure smooth deployment, • Drive continuous improvement of NetSuite configuration and processes to reduce inefficiencies, • Own data integrity within NetSuite, proactively identifying and resolving data quality issues, • Act as a key liaison between Finance, Operations, and Data teams to ensure consistency and accuracy of information, • Support downstream data and reporting requirements, ensuring NetSuite data is structured for effective analytics, • Contribute to broader transformation and systems-related projects alongside the CFO What We Need to See (Essential Experience) • 2-5 years' hands-on NetSuite administration or power user experience, • Strong experience with saved searches, workflows, and roles/permissions, • Background in Retail, Ecommerce, or stock-heavy environments, • Strong understanding of finance processes and operational workflows, • Excellent communication skills, with the ability to work cross-functionally, • A detail-oriented mindset with a strong focus on data accuracy and system integrity, • Ability to take ownership and implement changes independently Bonus Experience (Not Essential) • Exposure to integrations, APIs, or data pipelines, • Experience working with data/analytics teams or platforms, • Familiarity with NetSuite implementations or transformation projects Day Rate: £350-400 per day Start Date: ASAP Location: Central London (Hybrid) If this opportunity is of interest, please apply online or get in touch at At Harmonic, we are dedicated to fostering an inclusive and equitable workplace. We actively welcome applications from individuals of all backgrounds and assure you that every candidate will be thoughtfully considered for the roles we represent, without regard to race, religion, gender expression, disability, or sexual orientation.

MI/BI Data Analyst (Contract) Duration: 12 Months (Possibility for extension) Location: London/Hybrid (2 - 3 days on site) Rate: A highly competitive Umbrella Day Rate is available for suitable candidates Role Profile We are looking for an experienced MI/BI Data Analyst to join the Data Analytics Team. This role will play a key role in designing and delivering reporting and analytics products within the Management Information (MI) Workstream of a large transformation program focused on our Transaction Banking. This role will operate as part of the MI Workstream and will work closely with Business Analysts who will lead primary stakeholder engagement and requirements definition. The focus of this role is on translating well-formed business requirements into efficiently delivered reporting and analytics products through strong engagement with technical and delivery teams. The role will be responsible for the end-to-end technical coordination and development of analytics products, ensuring work is appropriately planned, prioritised, and delivered to agreed standards. Key Accountabilities: • Deliver new analytics products using best practice data analysis and data visualisation techniques to, • translate complex data into insightful reports and interactive dashboards., • Run proofs-of-concept to evaluate feasibility and value, uncovering benefits for our stakeholders,, • customers, and businesses., • Support the rollout and adoption of reporting and analytics products. This includes providing in-house, • coaching support and training for users and product owners., • Coordinate closely with Business Analysts to ensure agreed delivery processes are followed and that, • analytics development progresses as planned and remains aligned to approved requirements., • Ensure sufficient and appropriate documentation is produced to quality-assure analytics development and, • support ongoing maintenance., • Collaborate with a range of technical and non-technical audiences to quality assure delivery of analytics, • products through development and UAT., • Prepare and transform data for use in analytics products using appropriate tooling and techniques. Skills & Experience: • Experience working in a data team and collaborating with cross-functional teams to identify, scope and, • develop data analytics solutions., • An outstanding problem solver who has an analytical mindset, is inquisitive and excellent with technology, • enabling a creative approach to solution scoping and delivery., • Strong experience with using Power BI to develop interactive data driven dashboards., • Strong SQL skills to support data discovery and profiling. This should include experience of working with, • raw and aggregated data and reviewing transformation logic as well as diverse and complex data sets and, • all data types., • Strong data manipulation and preparation skills with experience of using Alteryx, Power Query or similar, • Experience of testing reports and data analytics dashboards., • Effective written and verbal communication skills., • Experience of working in the financial services industry and knowledge of data related regulatory, • requirements for financial service sector. The ideal candidate will have experience working in an investment bank and a good understanding of transaction banking., • Demonstrable experience of training, mentoring and coaching others in the use of applications., • A good understanding of core mathematical and statistical concepts., • A good understanding of, and experience of applying, project management principles and approaches like, • waterfall and agile., • Experience of working in an organisation that has rolled out self-serve analytics tooling at enterprise level., • Knowledge of emerging trends and issues within the Data Analytics and Data Science landscapes., • Experience working with cloud environments & components (e.g. AWS, Azure). Candidates will need to show evidence of the above in their CV in order to be considered. If you feel you have the skills and experience and want to hear more about this role 'apply now' to declare your interest in this opportunity with our client. Your application will be observed by our dedicated team. We will respond to all successful applicants ASAP however, please be advised that we will always look to contact you further from this time should we need further applicants or if other opportunities arise relevant to your skillset. Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive. As part of our standard hiring process to manage risk, please note background screening checks will be conducted on all hires before commencing employment.

Are you ready to start a new career in Data Analysis? The demand for Data Analysts has grown by 20% annually, with experienced professionals earning salaries upwards of £58,000. In today’s digital world, data is critical to business decision-making, making the role of a Data Analyst indispensable. As skills shortages continue to grow, the demand for qualified entry-level professionals is on the rise. With our Data Analytics career programme we will provide you with: • 8 training modules: Excel, SQL, Python, R, Tableau, Power BI, CompTIA Data+ & Azure AI Fundamentals, • 3 official examinations: Microsoft Power BI Data Analyst, CompTIA Data+, & Microsoft Azure AI Fundamentals, • 100+ hours of live instructor-led online classroom training, • Real-world Data Analyst project work & live labs to boost your CV, • Exam & interview preparation We guarantee you will be offered a job upon completion, or we will refund you 100% of your course fees. No prior industry experience is required - No matter your background, previous studies or work history - if you think you have the soft skills (communication skills, passion) needed then we can help you launch the career you want. Click 'Apply Now’ to begin your new data career!

Product Analyst London (Hybrid - 2x Days a Week in Office)£80,000-£90,000 Note - this role can provide sponsorship The Company Are you a commercially-minded Product Analyst or Product Data Scientist looking to make an impact in a fast-growing, PE-backed consumer tech business? This is a unique opportunity to join a company in an exciting growth phase, working alongside an experienced and data-driven leadership team! The Role You'll sit within a highly collaborative Data team and act as a key partner to Product, Engineering, and Commercial teams, using data to shape strategy, improve personalisation, and create a best-in-class experience for millions of users. This role is ideal for someone who is curious, commercially focused, and passionate about understanding user behaviour to drive measurable outcomes You'll be responsible for: • Analysing user behaviour, spotting trends, and telling compelling data stories to influence product strategy, • Designing, running, and evaluating experiments to optimise product performance and improve conversion, • Defining and aligning key metrics across teams, ensuring consistent measurement and insight delivery, • Building and maintaining dashboards and self-serve tools for quick access to core insights I'm looking for someone who is excited to work in a product-focused, consumer-facing environment, and who brings: • Strong SQL, • Python/R experience preferrable, • Experience with dbt and modern data stacks a bonus, • A proven ability to turn data into actionable insights and communicate them clearly to stakeholders, • Salary up to £80,000 - £90,000 Please register your interest by sending your CV to Adam Osborne at Harnham via the Apply link on this page

Job Title: Machine Learning Engineer (Mid-Level) Salary: £70,000 Location: London Employment Type: Full-Time The Company Our client is an innovative and rapidly growing technology-driven organisation based in London. The business is building advanced data and AI capabilities to support intelligent products, predictive analytics, and automated decision-making across its platforms. With a strong investment in data infrastructure and machine learning technologies, the company is creating an environment where engineers can work on complex problems, develop scalable ML solutions, and collaborate closely with data scientists, engineers, and product teams. This is an exciting opportunity to join a high-performing team focused on delivering cutting-edge machine learning solutions that have a direct impact on business outcomes and product innovation. The Role The company is seeking a Mid-Level Machine Learning Engineer to design, build, and deploy machine learning models into production environments. You will work closely with data scientists and software engineers to develop scalable ML pipelines, optimise model performance, and integrate machine learning capabilities into production systems. The role involves working with large datasets, building robust ML systems, and supporting the full lifecycle of machine learning solutions—from experimentation to deployment and monitoring. Key Responsibilities Machine Learning Development • Develop, train, and optimise machine learning models for production applications, • Work with large datasets to build predictive and analytical models, • Collaborate with data scientists to transition models from research to scalable production systems ML Engineering and Deployment • Design and maintain machine learning pipelines and model deployment infrastructure, • Implement automated model training, validation, and monitoring processes, • Ensure models are scalable, reliable, and performant in production environments Data Engineering and Infrastructure • Work with data engineers to build efficient data pipelines and feature engineering processes, • Optimise data workflows to support model development and experimentation, • Contribute to the development of robust ML infrastructure and tooling Collaboration and Product Integration • Work closely with product, engineering, and analytics teams to integrate ML models into applications, • Translate business requirements into machine learning solutions, • Communicate technical insights clearly to stakeholders Continuous Improvement • Monitor model performance and retrain models as required, • Identify opportunities to improve algorithms, data pipelines, and system performance, • Stay up to date with emerging machine learning technologies and best practices Skills and Experience • Strong programming skills in Python, • Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn, • Experience working with SQL and large datasets, • Familiarity with data pipelines, feature engineering, and model optimisation, • Understanding of MLOps practices, model deployment, and monitoring, • Experience working with cloud platforms such as AWS, GCP, or Azure, • Strong analytical thinking and problem-solving skills Experience Required • 3–5 years’ experience in Machine Learning Engineering, Data Science, or AI development, • Experience deploying machine learning models into production environments, • Background working with large-scale data systems or data platforms, • Degree in Computer Science, Data Science, Mathematics, Engineering, or a related quantitative discipline What the Company Offers • Competitive salary of £70,000, • Opportunity to work on real-world machine learning systems and advanced AI solutions, • Collaborative engineering culture with strong technical mentorship, • Exposure to large datasets and cutting-edge ML technologies, • Clear career progression within a growing data and AI team, • Modern office environment in London This is an excellent opportunity for an ambitious Machine Learning Engineer who wants to work on impactful AI projects and contribute to building scalable machine learning systems within a growing and innovative organisation.

CRO Manager London - Hybrid - 3x a week Up to £55,000 This is an opportunity to step into a senior CRO role within a boutique, premium performance marketing consultancy where experimentation sits at the heart of commercial decision making. You will own end-to-end experimentation programmes, work directly with ambitious clients, and play a visible role in shaping how conversion optimisation drives growth. The CompanyThey are a fast-growing performance marketing consultancy operating at the intersection of strategy, experimentation, analytics, and digital performance. The business works with well known, fast growth brands across sectors including entertainment, publishing, ecommerce, B2B, and travel. With a strong data driven culture and a reputation for award winning work, they offer the feel of an in-house team while retaining the variety and pace of agency life. The Role • Own full end to end experimentation programmes across multiple client accounts, • Lead quantitative and qualitative research to uncover insight and opportunity, • Translate data and behavioural insight into commercially impactful test hypotheses, • Prioritise test ideas based on potential uplift, effort, and strategic value, • Manage the setup, execution, and analysis of experiments using industry leading testing tools, • Partner closely with clients as an extension of their internal teams, • Collaborate with analytics, development, and other marketing specialists to deliver robust testing frameworks, • Strong commercial experience in conversion rate optimisation or experimentation, • Confidence working with large datasets and web analytics platforms such as GA4 or Adobe Analytics, • Hands on experience with testing and personalisation tools such as Optimizely, VWO, or similar, • Proven ability to manage the full experimentation lifecycle from insight through to analysis, • A technical and analytical mindset with curiosity for new platforms and methodologies, • Exposure to a wide variety of high profile, fast growth clients, • Clear opportunities to broaden skills across CRO, analytics, and wider digital strategy

Are you looking to benefit from a new career in Data Analysis? If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future as a Data Analyst We do this using our specialised Data Analyst career programme which looks to assist and place qualified candidates into a career pathway in Data Analysis. Please note this career program is designed for entry level individuals with limited or no experience, so please do not apply if you are already an experience Data Analyst as we will be looking primarily at entry level roles. Demand for Data Analysts has grown 20% year on year with experienced analysts easily commanding salaries of £50k+. All business decisions rely on data to ensure correct business decisions are made and therefore the role of the data analyst in the new digital world has become essential for business owners. Below are current average salaries in the sector for lower-level positions and fully trained Data Analysts: • Junior Data Analyst - £30,000, • Data Analyst - £50,000, • Business Data Analyst - £67,500, • Data Analytics Analyst - £80,000 The courses in the package have been identified by our recruitment partners as industry standards for the UK/European and International Data Analysis sector. Skills shortages across all sectors are increasing the demand for qualified, entry-level career seekers and career changers. Whether you are working full-time, part-time or are unemployed, this job and recruitment package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks. Your job and career goals are completed in 4 easy steps listed below. Step 1 - CompTIA Data+ Qualification The first step is completing the CompTIA Data+ Qualification accredited by CompTIA. This professional international industry-recognised qualification teaches you the essential skills of a Data Analyst. You will cover skills such as data mining, manipulating data, visualising data, and reporting on data. Study time for the qualification is approximately 30 hours and qualification is achieved by completing a 1-hour multiple choice exam. The course is provided online and comes complete with exam simulators and revision tools. You will be provided with access to a tutor and a 1-hour online revision workshop prior to sitting your exam. This qualification will set you on a route to becoming a data analyst. Step 2 - Data Administration Training Data is extracted using various method which are normally IT driven. Therefore, we will provide you with access to the following additional courses to ensure you are suitably employable as a data analyst. • Microsoft excel - to expert level., • Learn SQL - the programming language used for extracting data from more complex databases., • Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. Step 3 - Business Analysis Foundation Business Analysts and Data Analysts often work very closely together and indeed many Data Analysts become Business Analysts and vice versa. Adding a Business Analyst Foundation certificate will make you much more employable and enable you to cross over into business analyst roles and hybrid roles. Business Analysis Foundation accredited by the BCS (The British Computer Society also known as the Chartered Institute of IT). Study time for this course is approximately 15 hours and qualification is achieved through an online BCS exam. Step 4 - Recruitment Support Now you are qualified for an entry level data analyst position our recruitment support team will now begin collaborating with you to help you secure your first a suitable role based on your new qualifications and any other experience you may have. We have been helping candidates start and build careers in the project management industry since 2007 and have a 4.8 Trustscore on Trustpilot. Our Recruitment Support team will help you work through job applications, interviews and provide you with a full cv review based around your new qualification and written to maximise your chances of obtaining a role in the project management sector. They will provide you with guidance as to which roles our most suitable for you as an entry level project sector worker aiming to become a project manager. This will include mock job interviews as well as any help you feel you need. Our money back guarantee If after 1 year of passing your formal qualifications, we have been unable to help you secure a role, we will refund your study fees minus the cost of the exams. However, we are normally able to help candidates find their first role within 6 months of qualifying and for locations based close to major cities this is often reduced to less than 3 months. Check our testimonials from the hundreds of candidates we have already helped. What Now? To accommodate candidates, the training element of the package is available on finance terms of up to 1 year. This enables you to get qualified and start in your new role without having to fund all the training costs up front. Enquire now and one of our experienced Career Consultants will contact you within 4 working hours to answer any questions that you may have and to assist you in taking the first step towards your Data Analyst Career aspirations.

Robert Half International (an S&P 500 global staffing provider) is supporting a global consulting firm in sourcing an interim DBT Data Engineer. This role will focus on designing, delivering and supporting a modern cloud data warehouse using Snowflake and dbt, building scalable ELT pipelines and high-quality data models to support business-wide analytics and reporting. Assignment Details • Initial 6-month contract (extensions expected), • Hybrid - 2 days per week on-site in the City of London, • £400-450 p/day + 12.07% hol pay (PAYE with employer's NI & Tax deducted at source, unlike umbrella companies and no umbrella admin fees), • Insurance / Reinsurance experience strongly preferred but broader Financial Services experience will also be considered, • Strong hands-on experience building and supporting data solutions in Snowflake (ELT pipelines, performance optimisation, data modelling), • Proven experience with dbt including models, incremental loads, hooks, testing, snapshots and documentation, • Good operational understanding of dbt model failures, notifications, troubleshooting and production support workflows, • Excellent SQL engineering and data modelling experience (star/snowflake schemas, best practices), • Experience designing and supporting end-to-end data pipelines (ingestion, transformation, validation), • Familiarity with Snowflake features including Time Travel, cloning and RBAC, • Experience working in cloud-based data environments (Azure preferred, AWS also considered), • Familiarity with CI/CD pipelines and deployment processes (Azure DevOps or similar), • Experience with orchestration tools (Airflow, Azure Data Factory or similar), • Python for automation, testing or data engineering support, • Exposure to Databricks or modern Lakehouse environments All candidates must complete standard screening (Right to Work, DBS, credit/sanctions, employment verification). Robert Half Ltd acts as an employment business for temporary positions and an employment agency for permanent positions. Robert Half is committed to diversity, equity and inclusion. Suitable candidates with equivalent qualifications and more or less experience can apply. Rates of pay and salary ranges are dependent upon your experience, qualifications and training. If you wish to apply, please read our Privacy Notice describing how we may process, disclose and store your personal data:

Robert Half Technology are assisting a global Pharmaceutical organisation to recruit a Data Engineer on a contract basis - Hybrid Working - London based - Outside IR35 Deep expertise in Snowflake and DBT to join a mission-driven analytics team. This role is critical to assessing and improving an established Snowflake environment, driving cost optimisation, enhancing operational rigour, and supporting the team's move toward predictive analytics and ML Ops workflows. Role • The Data Engineer will own and assess the Snowflake platform, proposing and executing optimisation around performance, cost, scalability, and architecture improvements., • Lead DBT development and maintenance, with emphasis on test frameworks, transformation efficiency, and eliminating redundant or resource-heavy flows (e.g., excessive temp table usage)., • Design, implement, and maintain CI/CD pipelines to automate reliable deployment of data transformations., • Provide deep insight into Snowflake infrastructure, including cost and pricing models, performance tuning, and resource governance., • Support ML Ops / predictive analytics operationalisation - managing updates, performance monitoring, and change rollout rather than building models from scratch., • Be a technical mentor and knowledge resource within the team - promoting best practices and embedding continuous improvement., • The Data Engineer will have substantial experience as a Data Engineer, especially working with Snowflake in production environments., • Advanced experience with DBT, including testing, modular modelling, and optimisation., • Track record in building or maintaining CI/CD pipelines for data workflows., • Strong familiarity with Snowflake infrastructure, performance tuning, and cost modelling., • Exposure to ML Ops (particularly around operationalising models)., • Global Pharmaceuticals organisation, • Hybrid working - 1 day per week onsite The salary range/rates of pay is dependent upon your experience, qualifications or training. Robert Half Ltd acts as an employment business for temporary positions and an employment agency for permanent positions. Robert Half is committed to diversity, equity and inclusion. Suitable candidates with equivalent qualifications and more or less experience can apply. Rates of pay and salary ranges are dependent upon your experience, qualifications and training. If you wish to apply, please read our Privacy Notice describing how we may process, disclose and store your personal data:

DATA AND REPORTING ANALYSTLONDON/HYBRIDUP TO £70,000This is a high impact analytics role within a growing UK fintech, offering the chance to work close to senior stakeholders and influence how the business understands and funds its lending portfolio. You will sit at the heart of finance, combining hands on SQL analysis with commercial insight to support funding, performance and strategic decision making.ROLES AND RESPONSIBILITIES:The Data and Reporting Analyst will: • Analyse and report on core financial data, including lending performance, funding activity and investor reporting., • Support activity such as asset sales and securitisations through detailed analysis and clear reporting., • Build, maintain and enhance a scalable reporting suite used by finance and senior stakeholders., • Deliver ad hoc analysis to help the business understand performance, risk and opportunities., • Work closely with teams across the business to explain results and translate complex data into clear insights., • Contribute to finance wide initiatives, including audits and due diligence activity.YOUR SKILLS AND EXPERIENCE:The ideal candidate will have the following skills and experience, • Strong commercial experience analysing financial data within financial services, fintech or lending environments., • Advanced SQL skills and confidence working with large, complex datasets., • Proven experience producing reporting and analysis that supports decision making., • Comfort communicating insights to non technical stakeholders, including senior leaders., • Exposure to funding, capital markets or securitisation is advantageous but not essential., • Experience with BI tools and dashboards is beneficial; Python is a nice to have rather than a requirement.APPLY BELOW!

CUSTOMER ANALYTICS MANAGER £480 - £520 PER DAY INSIDE IR35 2 DAYS PER WEEK IN THE OFFICE (LONDON) 3 MONTH CONTRACT THE COMPANY: A well-known retailer with a large online presence is looking for a Customer Analytics Manager to take ownership of their Insights roadmap. THE ROLE: This role is responsible for analysing and interpreting customer and consumer insights across the UK and Ireland. You'll work across both qualitative and quantitative data, alongside competitor analysis, to help shape and improve the overall customer experience. The position covers the full insight lifecycle - from insight generation and market share analysis to NPS tracking - ultimately delivering clear, actionable recommendations to the business. This is an individual contributor role, with no line management responsibilities. Key Responsibilities: • Own and drive the insights roadmap, • Deliver customer and consumer insight across BAU activity, • Translate data into actionable business recommendations, • Present findings clearly to non-technical stakeholders YOUR SKILLS AND EXPERIENCE: • Strong SQL skills, • Experience with Power BI, • Background in a customer-focused, digital or app-led business (e.g. Uber Eats, Deliveroo, Booking.com, ASOS, or similar high-volume online platforms), • Strong stakeholder management and communication skills, with the ability to present insights to non-technical audiences, • The team operates in a lean, fast-paced environment, so they're looking for someone who can be both hands-on and strategic, and comfortable working with data at scale. HOW TO APPLY: Please register your interest by sending your CV to Mojola Coker via the apply link on this page.

Web & Digital Services OfficerCentral London - Hybrid£39,000 paThe Client:Is a membership and regulator for the Veterinary Industry. As a regulator, they set, uphold and advance veterinary standards, who promote, encourage and advance the study and practice of the art and science of veterinary surgery and medicine. All done in the interests of animal health and welfare, and in the wider public interest.The Role:Reporting to the Website Manager, you will provide web and digital technical support to the Communications team in the delivery of our online and digital communications activities. The main focus of the role will be to provide technical expertise in the ongoing development and integration of the website and digital communications channels, in analytics and in SEO. You will also take the lead in producing news and marketing emails each month.We are a busy team undergoing a period of development and change for our website; as such this role has scope for development within our expanding team.Key responsibilities • Work with the Website Manager to ensure the websites are fully operational at all times., • Build a strong relationship with our web development agency, translating business needs into clear, actionable requirements., • Keep informed of web and mobile UX best practice, proactively suggesting improvements and sharing insight to support better digital decision-making., • Work collaboratively across internal teams and with specialist external agencies to design and implement new digital communications tools., • Help optimise organic search visibility and on-site search functionality to deliver a seamless, intuitive content-discovery experience., • Use website analytics to evaluate performance, produce meaningful reports and recommend improvements based on user insight., • Work with the Website Manager and IT department to ensure compliance with accessibility, privacy, data protection and security requirements., • Carry out usability testing and UAT to validate changes across the website and digital channels., • Support the work of our web content team and departmental web editors, including CMS training., • Develop and optimise accessible email newsletters that support engagement and campaign performance across channels., • Support other areas of work in the Communications Department, as and when required.Required skills, knowledge and experience, • Demonstrable knowledge of HTML, CSS and responsive design., • Working knowledge of JavaScript and PHP., • A good understanding of UX and UI principles, with the ability to apply these to improve usability, accessibility, and overall user journeys., • Experience working effectively with third-party web or digital agencies, including briefing requirements, reviewing and quality-assuring deliverables, and proactively identifying and resolving issues to support successful project delivery., • Experience supporting users across departments within a CMS, with an understanding of website structure and content organisation. Drupal experience is highly desirable, with transferable CMS skills welcomed., • Strong experience using web analytics and reporting tools — including Google Analytics and Google Tag Manager — to monitor website performance, help maintain accurate tracking, and produce clear, regular reports and dashboards in Looker Studio that support insight-led improvements., • HTML email development skills, with experience producing accessible and optimised email templates from provided designs, applying responsive techniques where appropriate and following established best practice., • Good time and task management skills, with the ability to manage multiple priorities and meet deadlines in a busy digital environment., • Strong written and verbal communication skills, with the ability to explain technical concepts clearly and work collaboratively with a range of stakeholders.Morgan Spencer – Your Career, Our ExpertiseMorgan Spencer is one of London’s leading Executive Secretarial and Business Support recruitment consultancies, connecting high-calibre professionals with outstanding opportunities.Equal OpportunitiesMorgan Spencer is committed to equality, diversity and inclusion and welcomes applications from all suitably qualified candidates.Confidentiality & GDPRAll applications are handled in strict confidence and in full compliance with UK GDPR. Your information will be used solely for recruitment purposes and will not be shared without your consent.Morgan Spencer Limited, registered in England & Wales No: 4254114.

IT Auditor Location: London / HybridContract: 6 monthsDay rate: From £550 per day (DOE) via Umbrella Company Diversity & Inclusion Commitment Our commitment is to provide equal opportunities regardless of gender, age, ethnicity, disability, sexual orientation, religion, or belief. We actively engage with employers to develop programmes and pathways that embrace diverse talent and promote inclusive employment worldwide through partnerships and other initiatives. We recognise and celebrate the value of difference and believe it makes us faster, smarter, and more innovative. Company Overview Our client is one of the largest financial institutions headquartered in Japan, with an established presence across both consumer and corporate banking globally. Through its subsidiaries and affiliates, the organisation provides a broad range of financial services, including commercial banking, leasing, securities, credit cards, consumer finance, and related services. Opportunity Overview Our client is seeking an IT Auditor to join their Internal Audit function on an initial 6-month contract. The role operates Monday to Friday during standard office hours, with occasional out-of-hours work in line with business requirements. The position follows a hybrid working model, with 2-3 days per week in the London office and the remaining time working remotely. Role Summary This role supports the delivery of independent assurance over the IT control environment across EMEA business entities. The IT Auditor will undertake and manage audits across a range of IT infrastructure and applications, support audit teams in delivering detailed testing, and contribute to audit opinions provided to EMEA Regional Management and the Group Audit Committee in Tokyo. Position Description Internal Audit provides independent opinions on the effectiveness of changes and controls implemented across the EMEA region. This role is responsible for providing insight and assurance over key controls, and therefore requires the expertise to offer advisory and consultancy input where appropriate during audit engagements. Key Responsibilities • Prepare audit planning materials to ensure internal controls addressing key risks are appropriately tested, providing reasonable assurance to the Board, Group Management, Entity Management, and regulators that an effective control environment exists., • Deliver control assurance activities, including testing and documentation, and at times take a lead role in managing defined areas of audit coverage., • Direct testing efforts towards key risk areas, agreeing scope and focus with the Audit Partner, and share specialist knowledge with other audit team members., • Prepare draft Audit Findings for review by Audit Department Management, ensuring findings are factually accurate and clearly articulated., • Clearly communicate audit issues and recommendations to Audit Management and business stakeholders, including senior management, demonstrating resilience and confidence in challenging discussions., • Prepare final internal audit reports, clearly highlighting areas of positive assurance as well as opportunities for improvement within the control environment. Essential Requirements • Professional Experience: Experience in internal audit with a focus on IT audits within financial services or a regulated environment., • Technical Knowledge: Strong understanding of IT governance frameworks (e.g. COBIT), cybersecurity principles, IT General Controls, and regulatory requirements such as DORA or GDPR., • Risk & Control Expertise: Ability to assess technology risks across infrastructure, applications, and third-party services, and design effective audit procedures., • Analytical Skills: Strong capability in evaluating complex technical environments, identifying control gaps, and using data analytics to support audit testing., • Communication Skills: Excellent written and verbal communication skills, with the ability to explain technical issues to both technical and non-technical stakeholders., • Leadership & Team Management: Proven experience leading IT audit engagements, mentoring team members, and managing competing priorities., • Stakeholder Management: Ability to engage effectively with senior IT and business leaders, influence decision-making, and maintain strong professional relationships. Candidates must evidence the above requirements in their CV to be considered. If you do not hear from us within 48 hours, unfortunately your application has not been successful on this occasion. We may, however, retain your details for future suitable opportunities. We use generative AI tools to support our candidate screening process. This helps ensure a fair, consistent, and efficient experience for all applicants. All final hiring decisions are made by our recruitment and hiring teams following careful review.

Technology Consulting Manager - Data & AI This role is a management/technology consulting position with a data and AI specialism, responsible for leading client engagements, advising CIO/CDO-level stakeholders, and translating business challenges into effective data and AI solutions. Client Details Technology Consulting Manager - Data & AI AFTSE 250 professional services organisation that partners primarily with mid-market and enterprise organisations, engaging senior technology and data leaders (CIOs, CDOs, Heads of Data) on transformation initiatives across data, analytics, and AI. It is entrepreneurial in nature, focused on building differentiated consulting propositions, and offers senior hires the opportunity to shape new practice areas rather than operate within a rigid consulting structure. Description Technology Consulting Manager - Data & AI Key Responsibilities • Lead data and AI consulting engagements end-to-end, owning client outcomes across data strategy, platforms, analytics, and AI initiatives., • Act as a trusted advisor to CIOs, Chief Data Officers, and senior technology leaders, confidently translating business challenges into practical, value-driven data and AI solutions., • Ensure structured, high-quality consulting delivery, acting as an engagement manager or workstream lead as required., • Design, shape, and evolve data and AI consulting propositions, creating reusable methodologies, frameworks, and playbooks., • Support sales and consulting colleagues by providing technical credibility in client meetings and contributing to proposals, statements of work, and solution design., • Identify and shape new data and AI opportunities based on client needs and emerging market demand, • Act as the internal lead for data and AI, mentoring consultants and supporting capability development across the practice., • Contribute to thought leadership by staying close to developments in data, analytics, and AI, and helping position the firm as a credible advisor in AI-enabled transformation. Profile Technology Consulting Manager - Data & AI We're looking for a commercially minded consultant with Data & AI expertise who wants to lead client delivery and play a defining role in building a growing consulting practice. • An experienced management or technology consultant with a strong focus on data, analytics, and AI, operating at Manager, Senior Manager, or Principal level within a Big Four or boutique consultancy., • Proven experience leading data and AI consulting engagements, from problem definition through to structured delivery and client outcomes., • Strong grounding in modern data architectures, platforms, analytics, and AI, with the credibility to engage confidently with both technical specialists and senior business stakeholders., • Comfortable advising CIOs, Chief Data Officers, and Heads of Data, bridging business strategy and technical delivery with clarity and pragmatism., • Demonstrated engagement management and consulting delivery skills, producing high-quality outputs such as strategies, roadmaps, target-state designs, and business cases., • Commercially aware, with experience supporting opportunity shaping, proposals, statements of work, and client presentations., • Entrepreneurial in mindset and motivated by the opportunity to build and shape a growing Data & AI capability, rather than inherit a fully established practice., • Confident operating in ambiguity, proactive in identifying opportunities, and focused on creating long-term value for clients and the firm. Job Offer Technology Consulting Manager - Data & AI • Salary: £60,000 - £70,000 basic, depending on experience., • Car: Company car or car allowance., • Bonus: Performance-related bonus (up to 20%)., • Benefits: Comprehensive benefits package, including pension, private healthcare, and additional perks.

Contract Role: Data Architect Data Strategy & Modelling Focus | Governance & Regulatory Environment Overview Experienced Data Architect responsible for shaping enterprise data strategy and designing scalable domain driven data models across secure cloud based environments Engagement Details • 24 month contract inside IR35, • Active SC clearance required, • London based with hybrid working 3 days onsite, • Day rate between £578 and £637.50, • Prior Banking experience is nice to haveCore Skills & Experience, • Strong background in enterprise data architecture with a focus on domain modelling and information architecture, • Deep understanding of conceptual logical and physical data modelling approaches, • Experience designing canonical domain and analytics data models including shared and reference data patterns, • Knowledge of data governance disciplines including data quality metadata lineage and auditability, • Ability to define and drive data strategy aligned to business value and measurable outcomes, • Experience supporting data migration programmes including mapping reconciliation and phased transitionData Architecture & Strategy, • Defines enterprise data principles standards and models aligned to wider architecture frameworks, • Builds clear data transformation roadmaps including sequencing dependencies and incremental delivery, • Strong understanding of data ownership stewardship and federated operating models, • Designs data architectures aligned to regulatory security and compliance requirements including classification and controls, • Proven experience driving simplification modernisation and innovation across enterprise data landscapesCloud & Platform Awareness, • Familiar with modern cloud data platforms such as Databricks Microsoft Fabric and Spark based ecosystems, • Understands how logical data models translate into physical implementations across lakehouse and warehouse patterns, • Awareness of integration patterns and the impact on governance lineage metadata and access controlDelivery & Stakeholder Engagement, • Works closely with business stakeholders to define data requirements and translate them into scalable data products, • Communicates complex data concepts clearly to both technical and non technical audiences, • Able to manage multiple workstreams and prioritise effectively in complex environments Please Note: This is a contract role for UK residents only. This role does not offer Sponsorship. You must have the right to work in the UK with no restrictions. Some of our roles may be subject to successful background checks including a DBS and Credit Check. TRG are the go-to recruiter for Power BI and Azure Data Platform roles in the UK, offering more opportunities across the country than any other. We're the proud sponsor and supporter of SQLBits, Power Platform World Tour, the London Power BI User Group, Newcastle Power BI User Group and Newcastle Data Platform and Cloud User Group. To find out more and speak confidentially about your job search or hiring needs, please contact me directly at

Analytics & AI Lead Business Intelligence, Oracle Analytics Cloud, OAC, Oracle Business Intelligence Enterprise Edition, OBIEE, Data governance, Data literacy, ETL, Data modelling, Dashboard development, Oracle ERP, HCM Cloud, eBusiness Suite, EBS, SQL, Oracle Machine Learning, Business analytics solutions, BI • £71,121 per annum + public sector pension and other benefits Day-to-Day of the Role: • Lead the design, development, and continual improvement of analytics products, focusing on Oracle Analytics Cloud (OAC) and Oracle Fusion Data Intelligence., • Manage the analytics and AI product roadmap in alignment with organizational goals and cross-functional teams., • Mentor and manage a team of reporting SMEs and analysts, promoting a culture of evidence-based delivery and user-focused design., • Engage with stakeholders to translate analytical needs into effective dashboards, reports, and automated solutions., • Champion data governance and literacy, ensuring data-driven decision-making across the organisation., • Design and optimise cloud-based integrations to enhance data connectivity across systems., • Lead operational changes including test planning, user training, and assessing change impacts., • Over 5 years of experience in analytics, business intelligence, or data product roles, preferably within large or complex environments., • Proven track record in implementing and delivering solutions using Oracle Analytics Cloud (OAC), Oracle Fusion Data Intelligence or OBIEE, • Experience with Oracle ERP/HCM Cloud or eBusiness Suite, and understanding of HR, Commercial, Finance, and Logistics functions., • Skilled in ETL, data modelling, and dashboard/reporting development., • Experience leading product teams or data-focused project teams with high-level stakeholder engagement. 27 days of annual leave (rising to 33 in 5 years), 20%+ pension contributions + others. In the first instance, please submit your CV.

Senior Data Architect - Insurance & London Market Location: London (Hybrid) Overview An established insurance organisation is looking for a Senior Data Architect to take ownership of enterprise and solution-level data architecture across London Market insurance domains. This role combines deep insurance expertise with modern cloud, analytics, and data platform architecture. Key Responsibilities: • Define and govern enterprise data architecture aligned to business strategy, • Design modern cloud-based data platforms using Medallion Architecture, • Produce and maintain conceptual, logical, and physical data models, • Act as a design authority, presenting architecture options and recommendations, • Define data integration and data product strategies, • Embed data governance, quality, lineage, and master data principles, • Extensive experience as a Senior / Lead Data Architect within Insurance and the London Market, • Strong knowledge of Lloyd's ecosystem, syndicates, DA, reinsurance, underwriting, and claims, • Proven expertise in cloud data platforms (Azure, AWS, or GCP), • Strong understanding of modern data architecture patterns and data modelling, • Experience operating at enterprise or cross-domain level, • Strategic, high-visibility architecture role, • Influence long-term data and analytics direction, • Work on large-scale, complex insurance transformations

Lynx Recruitment is partnering with a specialist data and AI consultancy to recruit an experienced AI Engineer to work on cutting-edge Generative AI and agentic AI solutions. Our client delivers data platforms, advanced analytics and AI/Machine Learning solutions that drive tangible business outcomes. The focus is on designing, deploying and operating production-grade GenAI and agentic systems on AWS, supporting organisations across multiple industries. Role Overview As an AI Engineer, you will design, develop and deploy production-ready Generative AI solutions for enterprise clients. You will be involved across the full lifecycle of GenAI products—from proof of concept through to scalable production deployment and monitoring. Working with modern LLMs, RAG architectures and agentic frameworks, you’ll collaborate with data engineers, solution architects and business stakeholders to deliver secure, cost-effective AI solutions on AWS. Key Responsibilities • Design and implement production GenAI applications using LLMs (e.g. Anthropic, AWS Bedrock models), • Build and deploy RAG systems using vector databases and semantic search, • Develop agentic AI workflows using frameworks such as LangChain, LangGraph, CrewAI or similar, • Create effective prompt engineering strategies with appropriate guardrails for production systems, • Implement monitoring, evaluation and continuous improvement frameworks for GenAI applications, • Build and maintain CI/CD pipelines for testing, deployment and version control, • Work directly with client stakeholders to gather requirements, demonstrate solutions and iterate delivery, • Document architecture designs, decisions and best practicesRequired Skills & Experience, • 1+ year hands-on experience deploying GenAI / LLM applications into production, • Experience with AWS services such as Lambda, SageMaker, Bedrock, S3, EC2 and ECS, • Strong Python development skills with modern AI/ML libraries, • Practical experience using at least one LLM API, • Solid understanding of prompt engineering, RAG architectures and vector databases, • Experience with LangChain, LangGraph, LlamaIndex or similar frameworks, • Familiarity with Git and CI/CD workflows, • Bachelor’s degree in Computer Science, Engineering or a related discipline (2.1 or above)Highly Desirable, • Hands-on experience building agentic AI systems with planning, tool use and multi-step reasoning, • Experience fine-tuning or adapting LLMs for domain-specific use cases, • Familiarity with LLM evaluation frameworks (e.g. RAGAS, LangSmith), • Knowledge of LLM security, hallucination mitigation and responsible AI practices, • Master’s degree in AI, Machine Learning, Data Science or a related field

I'm hiring multiple senior hires to join a growing AI and Digital Transformation consulting practice within a premium consultancy. This team has recently secured significant investment and is scaling quickly, with multiple hires across Lead and Principal level. This is a role for people who want to own and deliver real AI transformation, not just advise on it. The company A high-end consultancy working across defence, consumer, and public sector clients, known for delivering complex, high-impact programmes. They've built a strong reputation on delivering measurable commercial outcomes, not just strategy - and are now investing heavily in expanding their AI capability to stay ahead of competitors. Where you fit You'll sit within the Digital / AI Consulting practice, working directly with clients to: • Identify opportunities for AI and advanced analytics, • Design and deliver solutions end-to-end, • Lead the design and delivery of AI and data science solutions (LLMs, NLP, ML, etc.), • Work directly with senior client stakeholders to shape and deliver solutions, • Build and deploy end-to-end AI products, not just prototypes, • Apply technologies such as LLMs, RAG systems, and agentic workflows to real business problems, • Translate technical outputs into clear commercial value and measurable impact, • Mentor and develop consultants, helping build capability across the team, • Help shape the consultancy's AI offering and go-to-market approachExample work, • Using LLMs to improve decision-making and workflow automation in complex environments, • Delivering predictive analytics in healthcare to improve outcomes and efficiency, • Building AI-driven optimisation tools in retail to improve pricing and margins, • Supporting large-scale programmes across defence and public infrastructureWhat you bringCore requirements, • Strong data science / machine learning background, • Experience delivering AI / GenAI solutions (LLMs, NLP, etc.), • Proven ability to take solutions from concept through to real-world deployment, • Experience leading projects, workstreams, or teams, • Strong stakeholder engagement skills - client-facing and commercially focused, • Evidence of measurable impact (revenue uplift, cost savings, efficiency gains, etc.)Nice to have, • Consulting experience (highly preferred), • Experience across regulated or complex sectors (defence, public sector, retail, etc.), • Familiarity with modern stacks (Python, cloud, Databricks, APIs, etc.), • Experience mentoring or leading junior team membersWhy this role, • Shape and scale a growing AI consulting capability, • Work on complex, high-impact projects across multiple industries, • Strong blend of technical delivery, commercial impact, and leadership, • High visibility internally and with clients, • Opportunity to progress to partner level over timeWorking style, • London base (or nearest office), • Hybrid working, with regular client travel, • 3 days total per week, • Flexible, project-led environmentInterview process, • Online assessment (incl. logical / aptitude test), • Informal first conversation (director-level, including short presentation), • Final stage onsite in London (presentation + discussion)

We are working with a global healthcare and insurance organisation who are making a real difference to people's lives.We require an experienced Senior Data Platform Engineer to join the AI and Data Platform teams.£100,000 + Bonus + Excellent BenefitsFully remote with occasional travel to one of their offices.You will contribute to the design and operation of a scalable, secure enterprise data platform supporting advanced analytics and business intelligence in a healthcare and insurance setting. You'll work with high autonomy, mentor junior engineers, and drive technical excellence while ensuring compliance and performance. This is a key role in shaping a robust, automated data platform that powers better patient care and smarter insurance services.Please note: this is a Platform Engineering role rather than a Data Engineering position.We welcome applications from data engineers who also bring strong platform engineering experience - for example, working with IaC, Terraform, or similar tooling. Role:* Contribute to the design and delivery of robust, automated, and scalable Azure and Snowflake data platform components.* Develop and maintain infrastructure-as-code using Terraform, ensuring consistency and reusability across environments.* Build and optimise CI/CD pipelines using Azure DevOps and GitHub Actions to support rapid, reliable deployments.* Implement observability practices including logging, metrics, and alerting using observability tools.* Collaborate with the Lead Engineer and Architects to align implementation with platform standards and patterns.* Provide technical guidance and mentorship to mid-level engineers, promoting best practices in automation and. monitoringKey Skills / Qualifications needed for this role:* Extensive experience in platform engineering, with a strong emphasis on Azure-based data solutions.* Expert-level knowledge of Azure and/or Snowflake services, including Data Factory, Data Lake, Azure ML, and Power BI/Fabric.* Proven experience with infrastructure-as-code using Terraform and building CI/CD pipelines via Azure DevOps and GitHub Actions.* Strong grasp of observability practices, including logging, metrics, alerting, and performance optimisation.* Deep understanding of cloud security, with experience applying secure-by-design principles in Azure and/or Snowflake (e.g., network isolation, IAM, data protection).* Proficiency in scripting and automation using PowerShell, Bash, or Python.* Collaborative mindset, with a proven track record of working effectively across engineering, data science, and business teams.* Clear communicator, capable of documenting technical designs, contributing to platform standards, and presenting solutions to stakeholders.* Leadership experience, including mentoring junior engineers and fostering a culture of continuous improvement and knowledge sharing - highly desirable.This is majority remote based although you will need to attend the office in either London or Manchester when needed.This company look after their employees and you can expect a large bonus plus some excellent benefits.We are interviewing currently so apply now for immediate consideration for the Senior Data Platform Engineer position or contact Stuart Barnes at ITSS Recruitment for further information.

• Have you previously served in the military, blue light services or currently as a serving reservist or military spouse?, • Do you have demonstrable experience in Data, Analytics, or related technology roles? Since 2012, FDM’s Ex-Forces Programme has provided a next step for over 1,100 people globally, offering opportunities for personnel from all ranks across the three services into a new career in business and technology consultancy. No university degree required. Delivering industry recognised coaching, our Ex-Forces programme provides a soft landing into a meaningful second career as an FDM Consultant with renowned businesses, and in an ever-growing industry. You’ll be joining FDM as a Consultant within our Data and Analytics Practice, where you will be delivering large-scale projects for our clients across a wide range of sectors and specialist areas. Depending on your background and experience, you could take on the role of: • BI Developer, • Data Engineer, • Data Scientist, • Machine learning Engineer, • Business intelligence and advanced analytics, • Diverse data modelling, engineering and warehousing, • Automation and machine learning There are progression opportunities towards Principal Consultant level and the opportunity to explore diverse roles and assignments for a range of global companies. About You Open to UK service leavers, veterans, reservists, former Blue light Personnel and eligible military spouses who have experience in analytical, technical or data-focused roles. Suitable backgrounds include intelligence, signals, cyber, information systems, engineering, operational planning, capability analysis, logistics or technical trades where analysing data, producing reports, working with complex systems or supporting decision-making was part of your role and responsibilities. This programme supports transition into civilian careers in Data and Analytics, with structured training, coaching and no degree requirement. Minimum qualifications • Previous career in the military, blue light services or as a serving reservist, • Experience in service within data analytics, technology or a related field, • A strong aptitude and interest in business and technology as well as data driven problem solving, • Commitment to at least two years of full-time employment with FDM, • Support from the Ex-Forces network within FDM, • Two days per annum allocated to support military charities of your choice, • Career coaching, mentoring and access to upskilling throughout your entire FDM career, • Initial upskilling pre-assignment that has been accredited by TechSkills, • Assignments with global companies and opportunities to work abroad FDM is an award-winning global leader in tech and business talent solutions, backed by more than 35 years of industry experience. We have centres across Europe, North America, and Asia-Pacific, and a global workforce of over 2500 employees. FDM has shown exponential growth throughout the years, firmly establishing itself as an award-winning employer, currently listed on the FTSE4Good Index and as a 2026 Financial Times UK ‘Best Employer’. Diversity and Inclusion FDM Group is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, national origin, age, disability, veteran status or any other status protected by federal, provincial or local laws.

• Data Engineer - Amplitude/ Mixpanel Exp, • Remote working - some travel to London may be required, • 6 month contract Responsibilities: • Own the development and implementation of data models, analytics frameworks, and experimentation strategies across the platform., • Develop segmentation and predictive models to support personalization and proactive member engagement based on demographics, behavior, and interaction activities etc., • Design and analyze experiments (A/B testing, cohort studies) to assess feature effectiveness and improve user engagement., • Extensive experience in data science, analytics, or related roles-ideally within fintech, pensions, insurance, or employee benefits domains., • Strong SQL skills and experience working with large, complex data sets., • Proficiency in SQL and Python or R, with hands-on experience in machine learning, predictive modeling, and statistical analysis., • Proven experience working directly with product analytics platforms like Mixpanel, Amplitude, or similar tools., • Experience with data visualization and BI tools (e.g., Looker, Power BI, Tableau)., • Experience working with multi-tenant platforms or white-labelled products., • Understanding of workplace pensions, retirement planning, or financial wellbeing solutions., • Familiarity with event tracking and user behavior tools (e.g., Amplitude, Mixpanel, Segment). Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.

Data Delivery Lead • Contract Duration: 3 months Day-to-day of the role: • Own and oversee the delivery of the data portfolio, ensuring alignment with the client's technology and business strategy., • Ensure all programmes and initiatives are delivered on schedule, within budget, and to agreed quality standards., • Maintain tight control of budgets, forecasts, and resource allocation across the portfolio., • Partner with senior leaders across Data and Technology to drive alignment and outcomes., • Provide leadership and stability during a transitional period, acting as a senior escalation point for delivery issues and risks., • Establish and maintain robust governance, reporting, and tracking mechanisms across the data delivery function., • Ensure effective collaboration across product, engineering, and delivery teams to maximise performance., • Proven experience in a senior data delivery or portfolio leadership role within large, complex organisations., • Strong background in data and analytics programmes, ideally within enterprise-scale environments., • Demonstrated ability to manage large portfolios, including budget control, prioritisation, and delivery tracking., • Excellent stakeholder management skills, with the ability to influence senior leadership., • Experience working alongside product and engineering leadership in agile and hybrid delivery environments., • Strong understanding of delivery frameworks, governance, and risk management., • Highly organised, decisive, and delivery-focused., • Confident communicator with strong influencing skills., • Commercially astute with strong attention to detail., • Resilient and adaptable in a fast-paced environment., • Exposure to high-profile projects and senior stakeholders., • Opportunity to influence major strategic initiatives within a leading organisation.

Senior Marketing Analyst Hybrid - West London (4x days per week) £80,000 - £90,000 This is a high-impact analytics role where you will work at the intersection of data, media, and commercial decision-making. You will play a key role in shaping how data-driven insight influences marketing strategy and campaign performance for a portfolio of high-profile accounts. The Company They are a well-established, data-led organisation operating in the digital media and marketing analytics space. The business is known for working with large, complex datasets and using advanced analytics to drive measurable commercial outcomes. Collaboration sits at the heart of their culture, with analytics partnering closely across sales, account management, media, and product teams. They offer a stable yet progressive environment where analytical thinking is valued and visible. The Role • Lead analytics delivery across multiple client accounts and digital media products., • Evaluate campaign performance using online and offline data to generate actionable insights., • Support the development of data-driven media and marketing strategies that drive business growth., • Build and deliver custom analyses, including hands-on data manipulation and querying., • Contribute to marketing mix modelling and ensure performance is accurately represented in MMMs., • Partner closely with internal stakeholders across commercial, media delivery, and product teams., • Communicate complex analytical findings clearly to non-technical audiences., • Coach and support colleagues on best practice in analysis interpretation and insight storytelling. Your Skills and Experience • Strong commercial experience in marketing or media analytics within a client-facing environment., • Proven capability in analysing digital media performance and advertising effectiveness., • Experience building, validating, and interpreting marketing mix models., • High level of statistical literacy, including experimental design and model interpretation., • Practical experience using SQL and/or analytical programming languages such as Python or R., • Experience with data visualisation tools such as Tableau or similar BI platforms., • Confidence translating complex data into clear, business-focused recommendations. What They Offer • Competitive salary and benefits package., • Hybrid working model with regular collaboration from the London office., • Exposure to complex, large-scale datasets and high-impact analytical projects., • Clear opportunities for progression within a growing analytics function., • A collaborative, supportive environment that values curiosity and analytical rigour. How to Apply Apply now to find out more about this Senior Account Analytics Analyst opportunity and how it could support your next career move in analytics.

Python Developer - Insurance Analytics Location - London with hybrid working as per departmental requirements (currently a MINIMUM of 40% (2 days per week). LCP is an award-winning actuarial and analytics consultancy providing market-leading capabilities and advice across pensions and financial services, energy, health, and analytics. We use powerful analytics fused with human expertise to shape a more positive future. We have an exciting opportunity to join our Insurance Analytics team as a Python Developer. You will play a leading role in the continued development of InsurSight, our award-winning SaaS platform. InsurSight was launched in April 2020 and is currently used to assess over £200bn of non-life insurance business. We are expanding the team to help us support our expanding client base whilst delivering our exciting plans to develop the platform further. You’ll work within our backend team to help shape the direction of how we use Python within InsurSight, focussing on feature development, performance, maintainability, and tighter integration of our C# and Python backend codebases. You will also support and mentor less experienced developers, conduct code reviews, and take ownership of key technical challenges - particularly where large datasets and performance bottlenecks are involved. Our team consists of: • 1 Product manager, • 4 C# developers, • 2 Python developers, • 1 Actuarial data scientist, • 2 Front end developers, • 1 DevOps and site reliability engineer Key Responsibilities: • Provide Python development expertise on new InsurSight features, ensuring performance, scalability and maintainability, • Help with further integration between our C# and Python codebases, rewriting or restructuring code where needed to reduce inefficiencies and improve cohesion, • Optimise performance of complex data and analytics workflows, including calculations on larger datasets (e.g. on 4GB+ datasets), • Review and provide feedback on code written by other developers, support mentoring and skill development across the team, • Champion best practices in software engineering including testing, version control, CI/CD, and OOP, • Collaborate with actuaries, analysts and data scientists to deliver technically robust, industry-relevant features, • Research and prototype new technologies to support innovation and continuous improvement, • Strong Python development experience, with a track record of writing production-grade, maintainable code, • Experience working with large datasets and performance-critical workloads, • Familiarity with Azure PaaS/SaaS tools (e.g. Azure Functions, Batch, Blob/Table/Queue Storage), and CosmosDB, • Comfort with software-engineering best practices: automated testing, version control, CI/CD, OOP, • Proactive, problem-solving mindset with a focus on performance and user experience, • Exposure to actuarial or non-life insurance analytics, or an interest in domain-rich environment What’s in it for you? Take a look at our Glassdoor and Career stories pages to see why our people love being here! As well as joining a certified B-Corp, multi-award winning, fun, collaborative, people first organisation where your personal and professional skills will be developed to make you the best you can be, we offer an attractive benefits package designed to promote your overall wellbeing so that you are able to perform to your full potential both in and out of work. Currently our core benefits package includes: For you: • Hybrid working (see top of the advert for details), • Professional study support (where applicable), • Life assurance, • Income protection, • 26 days annual leave (pro-rata for part-time working) plus bank holidays (most of which can be taken flexibly!) with options to buy & sell holiday, • Private medical insurance, • Discounted gym memberships, critical illness and dental insurance through our flexible benefits, • Eye care vouchers, • Cycle to work scheme, • Competitive pension scheme, • Discretionary bonus scheme, • High street discounts We continuously strive to build an inclusive workplace where all forms of diversity are valued, including age, background, disability, gender, gender identity, gender expression, race, religion or sexual orientation. LCP is committed to making our opportunities accessible to all and would welcome you getting in touch to let us know if an adjustment can be made to help with your application. This may be extra time for assessments, pre-interview site visits, interview structure or questions, or asking us about building accessibility. Whatever it may be, please get in touch via our dedicated email address - [email protected] to discuss how we can support you with your application. Recruitment agencies LCP operates a Preferred Supplier List (PSL) for recruitment agencies which is reviewed annually. We do not accept unsolicited CVs or candidate profiles from agencies who are not part of our current PSL. LCP only pay agency fees where we have a signed agreement in place, and the agency has been instructed by a member of our recruitment team to supply CVs via the Applicant Tracking System (ATS) for a legitimate, open vacancy. If this process is not adhered to, LCP reserve the ri

Contract Project Manager (Data & AI) Aldgate (3 days onsite / 2 remote) Contract until end of year £600 per day (Inside IR35) Role Overview We're looking for an experienced Project Manager to lead a high-profile Data & AI initiative, with a particular focus on Agentic AI. You'll be working closely with a specialist third-party vendor to ensure successful coordination, governance, and delivery of this programme. This is a hands-on role within a rapidly evolving space, requiring someone who is comfortable working in ambiguity, bringing structure to undefined areas, and driving progress across multiple stakeholders. Key ResponsibilitiesProject Delivery & Operations • Take ownership of delivering a key Agentic AI programme, ensuring successful outcomes in partnership with an external delivery provider., • Coordinate activity across business stakeholders, data teams, AI specialists, engineering functions, and third-party vendors., • Manage delivery using Agile methodologies, maintaining strong pace and alignment across sprint cycles and milestones., • Operate effectively in undefined or evolving environments, helping shape priorities, requirements, and delivery direction., • Lead Agile ceremonies including sprint planning, stand-ups, demos, and retrospectives., • Maintain governance artefacts including project plans, RAID logs, risks, issues, dependencies, and reporting packs., • Provide clear, structured updates to stakeholders, including project boards and senior leadership., • Drive risk and issue management, ensuring blockers are identified early and resolved effectively., • Ensure strong alignment between business and technical teams, with heavy business stakeholder involvement., • Manage third-party vendor delivery, ensuring accountability around timelines, quality, and outputs., • Support continuous improvement across data and AI delivery practices., • Ensure alignment with security, compliance, and data governance standards.Skills & Experience Required, • Demonstrated experience delivering data and AI-related projects, ideally involving emerging technologies such as Agentic AI., • Strong Agile delivery background with the ability to balance structure and flexibility., • Experience working with third-party vendors, particularly within AI or advanced technology programmes., • Comfortable working in grey/ambiguous environments and bringing clarity to delivery., • Strong stakeholder management skills, particularly with business-facing teams., • Confident in stakeholder reporting, governance, and senior-level communication., • Solid experience managing risks, issues, and dependencies., • Strong coordination skills across cross-functional teams., • Excellent organisation, communication, and problem-solving abilities., • Exposure to business development (BD) or commercial awareness is advantageous.Background & Qualifications, • Project management certification such as PRINCE2, AgilePM, or similar preferred., • Strong understanding of Agile and hybrid delivery approaches., • Experience across data engineering, analytics, AI, or data governance programmes., • Proven ability to mobilise quickly and deliver in a contract setting., • Experience within construction, utilities, or energy sectors is highly desirable., • Familiarity with Microsoft technologies (Microsoft 365, Teams, SharePoint, Azure, Copilot). Please Note: This is a contract role for UK residents only. This role does not offer Sponsorship. You must have the right to work in the UK with no restrictions. Some of our roles may be subject to successful background checks including a DBS and Credit Check. TRG are the go-to recruiter for Power BI and Azure Data Platform roles in the UK, offering more opportunities across the country than any other. We're the proud sponsor and supporter of SQLBits, Power Platform World Tour, the London Power BI User Group, Newcastle Power BI User Group and Newcastle Data Platform and Cloud User Group. To find out more and speak confidentially about your job search or hiring needs, please contact me directly via email.

About The Role FDM is a global business and technology consultancy seeking a Senior Quantexa Engineer to work for our client within the Financial Services sector. This is initially a 12 month contract with the potential to extend and will be a fully remote role that will be based in London. Our client is seeking a Senior Quantexa Scoring Engineer with Anti-Money Laundering (AML) experience is responsible for designing and implementing advanced detection logic within the Quantexa Decision Intelligence Platform. This role focuses on using contextual data and network analytics to identify suspicious financial activities and reduce false positives in high-volume transaction environments. Responsibilities: • 10+ years overall professional experience, including at least 1 year hands-on experience delivering solutions on the Quantexa Decision Intelligence Platform in a production or client environment, • Strong experience designing and implementing Quantexa detection logic, including Document, Entity, and Network scores using the Assess framework, • Proven Anti-Money Laundering (AML) experience, particularly within Transaction Monitoring and financial crime detection, • Background as a Data Analyst or Data Engineer, working with large-scale, complex datasets in regulated environments, • Scala development experience supporting analytics or data-processing solutions, • Hands-on experience with Apache Spark for large-scale distributed data processing, • Experience with model calibration, threshold management, and score explainability to meet AML governance and regulatory standards, • Ability to operate at a senior level, providing technical leadership and translating regulatory requirements into technical designsAbout You, • 10+ years overall experience, with minimum 1 year hands-on Quantexa experience in a production or client environment, • At least 1 year working with the Quantexa Decision Intelligence Platform, including scoring, network analytics, and Assess framework usage, • Strong Anti-Money Laundering (AML) experience, specifically within Transaction Monitoring and Financial Crime use cases, • Proven background as a Data Analyst or Data Engineer, working with large, complex datasets in regulated environments, • Solid Scala development experience, writing and supporting scalable data and analytics solutions Diversity and Inclusion FDM Group is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, national origin, age, disability, veteran status or any other status protected by federal, provincial or local laws. Why join us • Career coaching, mentoring and access to upskilling throughout your entire FDM career, • Assignments with global companies and opportunities to work abroad, • Opportunity to re-skill and up-skill into new areas, develop non-linear career paths and build a skillset within your field, • Annual leave and work-place pension

Lead Analyst, Pricing and Promotions London - hybrid 2x a week Up to £60,000 This is a high impact role within a newly formed pricing and promotions analytics team, created to meet growing demand for smarter, data led commercial decision making. You will sit at the centre of pricing strategy, combining hands on analytics with senior stakeholder influence and leadership responsibility. The Company They are a large, complex UK consumer business operating at significant scale, with millions of customers and high volumes of transactional data. The organisation is investing heavily in pricing capability, advanced analytics and AI driven commercial insight. This team has strong visibility across the business and works closely with senior commercial leaders on high profile initiatives. The Role You will play a key role in shaping pricing and promotions decisions across the business, balancing long term strategic projects with fast paced commercial requests. • Lead pricing and promotions analysis to support business wide commercial decisions, • Analyse competitor pricing and recommend data led responses, • Deliver clear, impactful pricing performance insight to senior stakeholders, • Support pricing resets, optimisation initiatives and test and learn activity, • Apply advanced analytics including regression modelling and incrementality analysis, • Translate commercial questions into robust analytical approaches and recommendations, • Contribute to the development of AI enabled pricing analytics capability, • Work closely with pricing leadership and SLT facing teams, • Use SQL and Python to interrogate data and generate commercial insight Strong commercial and pricing analytics experience within fast paced environments • Deep expertise in SQL and solid working knowledge of Python, • Experience with pricing analytics, pricing elasticity or promotional optimisation, • Confident working with senior stakeholders and influencing decision making, • Salary up to £60,000, • Hybrid working with one day per week in London, • Comprehensive benefits package

Contract Role: Data Solutions Architect Technical / Solution Architecture Focus | Regulated & Security-Led Environment Engagement Details • 24 month contract inside IR35, • Active SC clearance required, • London based with hybrid working 3 days onsite, • Day rate between £578 and £637.50, • Prior banking experience is a nice to have as wellCore Capabilities, • Strong background in solution architecture across modern data platforms and analytics ecosystems within regulated or security focused environments, • Ability to design end to end solutions spanning application data integration infrastructure and security layers, • Hands on experience with Azure data services including Databricks and Microsoft Fabric, • Solid understanding of distributed processing technologies such as Spark based platforms, • Proven ability to design secure scalable and resilient data architectures aligned to both functional and non functional requirements, • Skilled at translating complex business and technical requirements into structured solution designsArchitecture & Engineering Expertise, • Experience defining current state target state and transition architectures supported by phased roadmaps and dependency aware migration plans, • Strong knowledge of platform engineering principles including infrastructure as code CI CD and DevOps practices, • Ability to assess technology options and clearly communicate trade offs to stakeholders at all levels, • Experience integrating data platforms with enterprise systems using APIs event driven and service based patterns, • Understanding of cloud landing zone approaches identity management and secure connectivity aligned to enterprise standardsDelivery & Stakeholder Engagement, • Proven track record delivering architecture across complex data programmes with design authority and assurance responsibilities, • Works closely with engineering teams to translate architecture into delivery and ensure build phase alignment, • Comfortable operating within governance frameworks including design reviews and architecture boards, • Produces clear auditable documentation including HLD LLD and architecture decision records Please Note: This is a contract role for UK residents only. This role does not offer Sponsorship. You must have the right to work in the UK with no restrictions. Some of our roles may be subject to successful background checks including a DBS and Credit Check. TRG are the go-to recruiter for Power BI and Azure Data Platform roles in the UK, offering more opportunities across the country than any other. We're the proud sponsor and supporter of SQLBits, Power Platform World Tour, the London Power BI User Group, Newcastle Power BI User Group and Newcastle Data Platform and Cloud User Group. To find out more and speak confidentially about your job search or hiring needs, please contact me directly at

Senior Engagement ManagerLondon - hybrid 2x in office a week Up to £120,000 This is a senior consulting leadership role with real influence. You will shape and deliver high impact analytics and data led consulting engagements for complex organisations, while helping to build and scale a growing advisory capability. The role combines strategic problem solving, senior stakeholder engagement and commercial ownership, offering strong visibility and long-term career progression. The Company They are a well-established data and analytics organisation with a strong reputation for supporting complex decision making across regulated industries. Their consulting arm is expanding to deliver end-to-end analytics advisory, independent of product-led solutions. The business brings together deep domain expertise, modern data capabilities, and a collaborative global delivery model. The Role • Lead end to end analytics consulting engagements, from problem definition through to measurable business impact., • Act as the primary point of contact for senior client stakeholders, building trusted advisor relationships., • Shape analytical approaches across data extraction, modelling, experimentation and insight activation., • Translate analytics into commercial outcomes across growth, risk, pricing and customer experience., • Drive commercial activity including opportunity development, proposals, scoping and account growth., • Build delivery excellence by setting standards, managing multi workstream teams and embedding best practice., • Strong commercial experience leading analytics or data consulting engagements within financial services or similarly complex environments., • Proven ability to own senior stakeholder relationships and influence decision making at executive level., • Deep understanding of how data and analytics drive business value and P&L impact., • Experience shaping and overseeing analytical solutions, working closely with technical teams., • Commercial acumen across pricing, delivery quality, margin and long term client growth., • Salary up to £120,000 plus a competitive benefits package., • Hybrid working with two days per week in the London office., • High visibility role with genuine influence over a growing consulting practice., • Clear progression opportunities into senior leadership within analytics consulting.

Lead Data AnalystLondon, Hybrid (1-2x per week) Up to £65,000 This is an exciting opportunity to join a high-growth organisation where data science directly shapes performance marketing strategy. You will lead a growing data science function, drive long-term analytical programmes, and play a key role in delivering meaningful commercial impact for well-known consumer brands. The Company They are a specialist performance marketing and technology business known for combining deep analytical expertise with innovative data products. With a rapidly expanding team and a strong track record of industry recognition, they partner with major consumer brands to solve complex measurement, forecasting, and modelling challenges. Their culture is collaborative, modern, and driven by delivering high-quality work that genuinely moves the needle for clients. As they scale, they are investing heavily in data science, experimentation, and advanced analytics. The Role As Lead Data Analyst, you will oversee a team of data scientists and work closely with senior stakeholders across analytics, data engineering, and technology. You will: * Lead experimentation and measurement initiatives including incrementality testing, geo-based studies, brand lift approaches, and causal inference. * Own advanced modelling projects such as MMM, LTV modelling, propensity scoring, and predictive forecasting. * Deploy models into cloud environments and integrate into advertising platforms including Google and Meta. * Guide long-term analytical roadmaps and ensure projects drive measurable commercial impact. * Partner with high-profile clients, often with direct access to raw data, applying rigorous analytical thinking to real-world marketing challenges. * Mentor and support a growing team of data scientists as they expand through the year. Your Skills and Experience You will bring: * Strong commercial experience with SQL. * Deep knowledge of experimentation methodologies such as incrementality, causal inference, geo testing, or brand lift studies. * Hands-on experience with MMM, LTV modelling, and propensity modelling. * Ability to deploy and maintain models in cloud environments and integrate with marketing platforms. * Experience delivering impactful, long-term analytics or data science projects. * Management or mentoring experience is desirable, but they are also open to strong individual contributors ready to step up. * Exposure to attribution modelling is a bonus. What They Offer * Salary up to £65,000. * Hybrid working with one day per week in their London office. * The opportunity to lead a growing data science function with genuine ownership and influence. * Work with large-scale datasets from major consumer brands. * A culture that invests in innovation, long-term thinking, and high-impact analytics. How to Apply If you are ready to take the next step in your data science career, apply today to find out more.

Robert Walters is supporting a leading UK insurance business with the appointment of a senior analytics leader to shape insight across its healthcare portfolio. This is a high-profile role for someone who can combine technical analytics, commercial judgement and leadership. You will oversee insight across claims activity, clinical trends, provider performance and healthcare utilisation, helping senior stakeholders make better decisions around cost, quality and customer outcomes. The role would suit someone from private medical insurance, healthcare analytics, public health, claims analytics, clinical data, actuarial insight or another regulated data environment. Role focus • Lead analytical work across healthcare costs, claims trends, treatment pathways and provider performance, • Turn complex clinical and claims datasets into clear insight for senior decision-makers, • Develop MI, dashboards, models and automated reporting to improve visibility of key trends, • Support better decision-making around claims spend, clinical risk and service quality, • Identify unusual claims patterns, leakage risks and opportunities for improved intervention, • Partner with clinical, commercial, operational, pricing and actuarial stakeholders, • Lead, coach and develop a small specialist analytics team, • Maintain strong standards around data quality, governance and reporting accuracyWhat we are looking for, • Experience in healthcare insurance, claims analytics, health data, public health or a similarly complex analytical setting, • Strong analytical judgement and the ability to explain complex findings clearly, • People leadership experience within an analytics, MI or data function, • Confident stakeholder management and influencing skills, • Strong technical capability across SQL, BI tools, modelling or advanced analytics, • Ability to balance commercial performance, clinical quality and customer/member outcomesPackage, • Annual bonus scheme, • Pension contribution up to 12%, • Private healthcare and life assurance, • Hybrid working 2 days in office Robert Walters Operations Limited is an employment business and employment agency and welcomes applications from all candidates

SOFTWARE DEVELOPER £50,000 LONDON Our client is looking for a Software Developer to join a well-established, digital-first organisation with a heavy investment in data, analytics, and modern engineering practices. This is a growth role for someone who enjoys writing clean, well-structured Python, taking ownership of production code, and working in an environment where adaptability and collaboration really matter. THE COMPANY A UK-based, consumer-facing organisation operating at national scale, with millions of customers and a strong reputation for being technology-led. The business has been investing heavily in digital transformation, growing headcount significantly over the past two years and continuing to build out its engineering and data capabilities. THE ROLE • Design, develop, and maintain Python code supporting core internal platforms, • Take ownership of a significant portion of the codebase, progressing changes from development through to deployment, • Write clean, well-structured, object-oriented Python code following best practices, • Use GitHub for version control, code reviews, and pull requests, • Work collaboratively with engineers, analysts, and data professionals across the wider team, • Adapt to different ways of working and contribute positively to technical discussions and feedback loopsYOUR SKILLS AND EXPERIENCE, • 2-3 years' experience working as a Software Developer (experience level flexible for strong candidates), • Strong Python development skills with a good grounding in OOP principles, • Experience working with version control (Git) and collaborative coding workflows, • Curious, adaptable, and keen to learn within a complex technical environmentSALARY AND BENEFITS, • Base salary: £50,000, • Mostly remote working (fortnightly collaboration days in London), • Stable, well-funded business with long-term technical investment, • Opportunity to grow responsibility and technical ownership over time, • Exposure to high-quality engineering and data practices