Top Data Jobs in London

Lead data strategy and insights to drive strategic decision-making and improve product strategies; collaborate with cross-functional teams to harness data for growth.

Build and maintain analytical tools and predictive models (claims, fraud, risk KPIs); engineer rating factors; identify and monetise new data sources; collaborate with actuaries, data engineers and pricing analysts to deploy ML-driven pricing solutions.

Lead development and deployment of predictive models and analytical tools to support pricing, claims and fraud detection. Engineer rating factors, identify and monetise new data sources, and collaborate with Data Engineers, Actuaries and Pricing Analysts to deliver production-grade ML solutions that improve business performance.

As a Senior Applied Scientist, you'll lead the development of statistical methodologies and an experimentation platform, collaborate with teams for analysis, and educate others on experimentation best practices.

The Senior Data Engineer will develop scalable data solutions, build data pipelines, optimize performance for data lakes, and ensure data quality.

Senior leader accountable for defining and driving service adoption strategy for Technology Infrastructure Services. Leads adoption teams, develops adoption plans, stakeholder and training programs, measures adoption outcomes, mitigates risks, and aligns adoption with technical implementation to realize client value and drive retention and growth.

Join Capi as a Data Analyst to shape data initiatives, build analytics for decision-making, and enhance data accessibility in a fintech setting.

The Project Manager will oversee data center construction projects, coordinating consultants and contractors, managing risks, and ensuring alignment with technical standards and governance.

As a Data Engineer, you will develop and maintain ETL pipelines, manage data infrastructure, and support data-related projects to drive business insights.

The Principal Data Scientist is responsible for leading data engineering and machine learning initiatives, architecting data solutions, mentoring teams, and ensuring compliance with governance standards.

Lead architect responsible for designing and implementing Azure data engineering solutions, leading data teams, and engaging with senior stakeholders.

As a Data Engineer at Starling, you will build cloud-native data warehouses and ML platforms, improving tooling within AWS and GCP.

Lead the People Analytics team, managing data products and engaging with HR stakeholders, ensuring technical delivery and data governance while mentoring analysts.

As a Data Engineer, you'll build and optimize the data platform infrastructure to facilitate effective data usage across Rightmove. Your responsibilities include data ingestion, orchestration, and implementing cloud engineering best practices with a focus on performance and scalability.

As a Senior Data Product Manager, you'll shape data product strategy, collaborate with technical teams, and drive measurable business outcomes through data-driven solutions.

The Senior Data Scientist will develop statistical and machine learning models, analyze complex datasets, and collaborate across teams to enhance Ravio's compensation products.

Design and maintain data pipelines, collaborate with stakeholders, ensure data quality, deploy infrastructure as code, and optimize reporting solutions.

As a Senior Algorithm Engineer, you'll lead the design and scaling of algorithms for data solutions in the energy sector, collaborating with cross-functional teams to optimize performance and mentor peers.

The Senior Data Engineer will design scalable systems, automate ML operations, optimize performance, and enhance infrastructure for data processing and monitoring.

Deliver scalable data infrastructure for automated workflows, design data warehouse schemas, and create dashboards for stakeholders in finance.

The Curriculum Manager will oversee the content development lifecycle, recruit instructors, design curriculum, assess course performance, and improve data science and engineering content.

The Staff Product Data Scientist will influence product and strategy by conducting deep analyses, framing problems, and producing decision memos. Responsibilities include shaping strategy with data insights, defining metrics, and collaborating across the business to tackle ambiguous challenges and drive measurable change.

As a Data Engineer, you'll develop and maintain data pipelines, integrate complex datasets, and ensure data quality for quantitative trading strategies.

Lead analytics and operations research projects to optimise inbound, warehouse, delivery, and returns processes. Develop and deploy predictive and optimisation models that deliver measurable cost and efficiency improvements. Collaborate with supply chain, technical, and senior stakeholders to present insights and drive adoption, improve data quality and governance, mentor analysts, and support DE&I initiatives. Role requires regular office presence and travel to warehouses.

Design, build and maintain scalable data pipelines, data lakehouse and graph models (Neo4j); enable self-service reporting (Power BI); implement monitoring, testing, CI/CD, data quality and performance tuning to deliver trusted cybersecurity datasets and dashboards.