Top Data Jobs in London

Provides clinical data management support for assigned studies, including ongoing data review, discrepancy resolution, query management, database lock preparation, regulatory documentation, and user access administration in Medidata Rave. Collaborates with clinical operations, biostatistics, programming, and medical monitoring teams to ensure accurate, complete, compliant, and analysis-ready clinical trial data.

Lead analytics for customer operations: build capacity planning and forecasting models, own data pipelines, develop predictive and causal inference analyses, track KPIs, standardise processes, and partner with operations, WFM, quality, and training to drive data-driven improvements.

Lead analysis of operational data to support decision-making. Build dashboards and reports, partner with operations stakeholders to identify process improvements, monitor KPIs, and inform strategic initiatives.

The Senior Data Scientist will lead the delivery of data science solutions, mentor teams, and develop ML models to address business challenges.

Design, build, and operate a distributed storage and data movement platform supporting petabyte-scale model training and evaluation. Run stateful systems across Kubernetes clusters, define throughput, latency, and durability requirements with research and infrastructure teams, and solve networking, I/O, consistency, and cross-region data transfer challenges. The role involves supporting cloud object storage, POSIX filesystems, model checkpoints, and large-scale GPU workloads.

Build an underwriting analytics function by applying data science, statistical modeling, machine learning, and NLP to risk selection, portfolio steering, workflow improvement, and market-cycle analysis. Partner with underwriters, product leaders, data engineers, and technology teams to develop decision-support tools, prototypes, dashboards, and production-ready solutions. Translate ambiguous commercial problems into actionable insights, communicate findings clearly, and support adoption, governance, and reusable analytics standards.

Prepare, cleanse, validate, and report on client data for postal and email distributions. Manage personalised email campaigns, variable-data print setups, production files, and mailing documentation. Coordinate multiple election and engagement projects, resolve data-quality issues, collaborate with project, design, digital, and production teams, and maintain accurate records under tight deadlines.

6–8 week graduate programme training early-career consultants to use AI responsibly in consulting. Develop business analysis, structured problem solving, service design, stakeholder management, project delivery and communication skills while gaining hands-on client experience and continuous professional development.

Senior individual contributor providing analytics and decision support for Localization product. Design and lead A/B and causal experiments, build and deploy production ML/NLP models, and develop scalable SQL/Python analytics pipelines and dashboards. Translate multilingual insights for stakeholders, mentor junior staff, and co-own metric frameworks and ML-enabled solutions.

Lead development and deployment of ML systems (neural nets, graph models, Transformers) for AML detection. Mentor team members, integrate models with production platforms and LLM agents, design data strategies, run large-scale training and evaluation, and communicate results to stakeholders.

Owns the global product performance benchmarking capability for data center infrastructure. Defines methodologies, baselines, KPIs, WBS/CBS structures, regional factors, confidence ranges, and refresh governance spanning cost, schedule, sustainability, and operational performance. Partners with Product, Engineering, Delivery, Procurement, Operations, Sustainability, Analytics, consultants, and senior leaders to ensure benchmark outputs support RFPs, business cases, pricing, customer discussions, product decisions, and executive reporting.

Develop and deploy deep learning and predictive models for engineering and physics applications. Responsibilities include data preprocessing, pipeline development, optimization, production deployment, simulation integration, customer collaboration, R&D, and presenting solutions. The role is hybrid in London and includes regular travel to customer sites worldwide.

Designs and maintains scalable data pipelines and platforms using Palantir Foundry, cloud services, Python, PySpark, and TypeScript. Builds Foundry datasets, applications, integrations, and AI-enabled workflows; develops user-facing solutions with Workshop and Slate. Partners with stakeholders to deliver enterprise data products, while implementing data quality, governance, security, performance optimization, CI/CD, DevOps, and cloud-native deployment practices for insurance-sector initiatives.

Leads expansion of data, analytics, insight, and solution capabilities across Marsh’s Digital Client Experience portfolio. Identifies capability gaps, evaluates internal and external options, develops business cases, negotiates strategic partnerships, and supports integration into products and platforms. Advises senior stakeholders on portfolio priorities, investment decisions, opportunity qualification, and partnership strategy while balancing strategic fit, scalability, speed to value, risk, and commercial return.

Implement and maintain organizational data governance frameworks, policies, standards, and procedures. Monitor data quality, resolve inconsistencies, maintain data dictionaries and metadata documentation, support governance forums, define data access protocols, and report on governance effectiveness. The role also collaborates with business functions, facilitates training and workshops, provides operational support, and uses Power BI to monitor data quality and support decision-making.

Manages cost planning and control for large data centre and real estate projects. Responsibilities include feasibility studies, cost estimates, procurement and tendering, valuations, change control, monthly reporting, value engineering, final accounts, client and consultant coordination, team leadership, business development, process improvement, and financial tracking.

Manages cost planning and commercial activities for mechanical, electrical, and plumbing systems on complex data centre projects. Responsibilities include developing estimates, analysing variances, supporting procurement and tendering, conducting value engineering, managing change control and contract variations, forecasting cash flow, advising stakeholders, ensuring compliance, and mentoring junior colleagues.

Direct large-scale, complex data centre construction projects and programmes as a Project Director within Turner & Townsend’s Cost Management team. Responsibilities include managing procurement and contracts, applying European design and code requirements, maintaining industry supply-chain relationships, supporting business growth, and aligning sector objectives with regional operations.

Manage cost planning and control for data centre projects, including feasibility studies, estimates, procurement, tender analysis, post-contract variations, valuations, cost reporting, value engineering, and final accounts. Lead cost management teams, collaborate with clients and project stakeholders, support business development, monitor financial performance, and improve cost management processes and procedures.

Leads end-to-end data science and AI initiatives across healthcare and insurance, including machine learning model development, deployment, monitoring, MLOps, Generative AI, and advanced analytics. Translates complex datasets into actionable business insights, partners with technical and commercial stakeholders, ensures governance and security compliance, and mentors junior colleagues. The role also contributes to AI strategy, Agile delivery, and solutions using RAG, semantic search, agentic workflows, and LLM orchestration.

Manage and grow a portfolio of UK&I enterprise accounts by originating, developing, and closing complex software and SaaS opportunities. Lead consultative discovery, executive engagement, technical evaluations, commercial negotiations, and deal teams across internal and customer stakeholders. Develop strategic account plans, build senior relationships, maintain pipeline quality, forecast accurately, and navigate procurement, legal, security, and commercial processes.

Performs business-focused data analysis, SQL reporting, dashboard development, root cause investigations, data profiling, and proof-of-concept analytics. Partners with stakeholders, customers, BI, data engineering, and product teams to translate business needs into technical solutions. Uses Azure data platform technologies, Python, and Power BI to develop insights, improve reporting, support data governance, and influence data-driven decisions.

Arcadis is building a talent network for experienced data centre project professionals for future European assignments. Potential roles include Project Director, CSA, electrical, or mechanical Project Manager, and Construction Manager. Responsibilities span multidisciplinary leadership, construction and infrastructure delivery, contractor coordination, programme, cost, safety, quality, commissioning, stakeholder management, and client relationships across hyperscale and mission-critical projects. Rotational assignments across Europe may be required.

Manages multiple sport-specific data science teams by coordinating resources, delivery, technical standards, hiring, and team development. Coaches Data Science Leads, supports forecasting model delivery, addresses capacity and performance challenges, and collaborates with Engineering and Delivery. Partners with the Head of Data Science on strategy, tooling, staffing, and roadmap planning while promoting cross-team learning, innovation, and a high-performing culture.

Provides legal and strategic advice on data protection, privacy, information governance, contracts, data sharing, AI initiatives, and enterprise data architecture. Responsibilities include embedding privacy by design, advising on GDPR and PECR compliance, negotiating data processing agreements, managing breaches and ICO engagement, supporting data governance and cataloguing, advising on customer analytics and marketing, and delivering privacy training across the Group.