Top Data Jobs in London

Lead design and operation of a scalable Databricks-based data platform: build pipelines, define medallion modelling, set engineering and governance standards (Unity Catalog/PII), enable self-service, mentor engineers, and own architecture and IaC best practices to drive a data-driven fintech product.

Design and implement AI-powered internal tools for GTM use cases, managing full lifecycle from data modeling to production. Collaborate closely with GTM teams to translate data into actionable insights with a focus on measurable business impact.

Lead teams in foundational AI research, focusing on ML and NLP development. Innovate and share technical findings in AI model training, collaborating with global experts.

Lead design and delivery of a Snowflake-based cloud reporting and data analytics platform for SwapClear & Listed Rates. Own migration from Oracle/Informatica, ensure availability, performance, governance and lineage, drive technical standards, mentor engineers, partner with architecture, governance and business stakeholders, and support quality, observability and multi-year roadmap delivery.

The Senior Product Owner (Data / AI) will be responsible for leading the development of data-driven product domains, collaborating with analytics and AI teams, defining product strategies, and ensuring the execution and delivery of data & AI product features.

Work directly with customers to onboard datasets, design synthetic population queries, diagnose and improve data pipelines, validate synthetic methodologies, lead technical engagements, train and document for adoption, and feed customer insights into product priorities.

Design and build ML, NLP, and generative AI systems for scientific discovery and knowledge extraction. Work with large heterogeneous scientific datasets to develop semantic search, entity extraction, QA, summarization, embeddings, and production-ready models. Implement model evaluation, fine-tuning, deployment, monitoring, drift detection, and scalable data pipelines while collaborating across engineering, product, UX, and research teams.

Design, build, and deploy machine learning models to detect fraud, prevent losses, and monitor risk. Work with Product, Engineering, and Operations to turn large-scale data into production-ready pipelines and model-serving solutions, monitor performance, and continuously improve model accuracy and business impact.

Lead innovative data solutions across various sectors by engaging stakeholders, delivering technical projects, and developing team capabilities while promoting data-driven insights.

Seeking a Data Consultant for innovative data-driven solutions across sectors like rail and energy, focusing on stakeholder engagement and technical project delivery.

The Data Scientist will lead client projects, utilize data science techniques, and manage stakeholder relationships while developing scalable models. Strong communication and problem-solving skills are essential, focusing on innovation and collaboration.

As a Data Engineer, you'll develop data pipelines, manage data integration and transformation, and support analytics and intelligence projects for government clients.

Design, build, and productionise large-scale optimisation models and bespoke solvers for last-mile scheduling, assignment and pricing. Translate operational requirements into mathematical programming and heuristic solutions, benchmark and monitor performance, and work cross-functionally with engineering and analytics to deploy and evolve automated decision systems.

Lead multidisciplinary teams to design and deliver hyperscale, colocation, and enterprise data centres across Europe. Manage all project phases from due diligence and campus planning through detailed design and construction documentation, ensure technical excellence, mitigate risks, support commercial governance, maintain client relationships, and coordinate localization and permitting compliance while meeting timelines.

Lead multidisciplinary design teams to deliver hyperscale, colocation, and enterprise data centre projects across Europe. Manage all design phases from due diligence and campus planning through construction documentation, ensure technical quality, mitigate risks, support commercial governance, and maintain client relationships while coordinating localisation and permitting compliance.

Lead multi-disciplinary design teams to deliver hyperscale, colocation and enterprise data centre projects across Europe. Manage all design phases from due diligence and campus planning to detailed construction documentation, ensure technical quality, mitigate risks, support commercial governance, maintain client relationships, and coordinate localisation and permitting. Client-facing role with regular travel and hands-on delivery.

The Senior Data Platform Engineer will lead the development of scalable Snowflake services, automation, CI/CD pipeline design, and security controls to optimize data-driven healthcare projects.

Lead and deliver multiple data and analytics engagements for private equity clients across Europe: shape proposals and pricing, drive go-to-market, set delivery standards for UK-India delivery, mentor senior staff, engage C-suite stakeholders, and travel extensively to support portfolio companies.

The Data Engineer will analyze, clean, and manage various datasets to assist traders at Jane Street, automating ETL processes and ensuring data quality.

The Market Data Specialist will improve data quality in the Security Master and Corporate Action Management systems, troubleshoot issues, and interface with data providers.

Lead and execute global data strategies for major clients, translating data and adtech capabilities into measurable business outcomes. Develop roadmaps, design audience and measurement frameworks, customize platforms (WPP Open, Infosum), engage senior stakeholders, drive commercial growth, mentor junior staff, and coordinate cross-functional delivery across media, analytics, and technology teams.

Lead and build Alto's data science capability: define roadmap, develop and productionise predictive models (churn, propensity, forecasting), run experiments, create segmentation and scoring, surface insights via ThoughtSpot, collaborate with engineering and commercial teams, and hire/mentor a data science team.

Lead privacy and AI governance across EMEAPAC: implement and improve compliance frameworks, monitor regulation (including EU AI Act), manage DPIAs/RoPAs/DSARs, advise business and technical teams, run incident response, draft vendor data terms, deliver training, and support the Head of Regulatory Risk and DPO.

Lead data and AI product strategy: define data requirements, own data and AI initiatives end-to-end, write engineering-ready epics/stories, collaborate cross-functionally to build scalable data products, and drive analytics for LLM/agent interfaces.

Lead pricing-focused data science work: design and analyse experiments, build predictive pricing models and monitoring systems, present insights to stakeholders, and manage and develop senior data scientists to drive pricing optimisation across brands.