Top Data Jobs in London

The BI Developer will lead business intelligence and reporting initiatives, turning complex media data into actionable insights, while mentoring others and innovating BI solutions using AI.

As a Senior Data Scientist, you will optimize MCM performance, define success metrics, influence product roadmap, and present insights to leadership. Your role involves analyzing large-scale data and conducting cross-functional collaborations to drive marketplace success.

The Data Privacy Product Owner is responsible for establishing and managing the Data Privacy Platform, defining operating models, tooling, and standards, ensuring integration across data platforms, and leading product vision and roadmap for data privacy capabilities.

The Data & Analytics Governance Director leads Diageo's data governance strategy to ensure compliance and quality across the data ecosystem, working closely with various stakeholders to embed governance practices throughout the organization.

The role involves building a large-scale event streaming platform, mentoring teams, supporting cloud-based technologies, and developing streaming applications using tools like Kafka and Flink.

As a Data Integration Engineer, you will build and support integrations between ERP systems and Prophix, focusing on API integrations, SQL data processing, and troubleshooting integration issues.

Lead the development of machine learning products, including designing systems, managing a team, and driving innovation in a fast-paced startup environment.

Work cross-functionally to design and execute data-driven strategies across pricing, promotions, forecasting, growth, credit risk, and product analytics. Build models and monitoring, evaluate new product/channel opportunities, present insights to leadership, validate deployed strategies, and mentor junior analysts to scale the business.

As a Data Engineer intern, you will develop data processing pipelines, collaborate with professionals, and create cloud-based infrastructure for investment insights.

Design, develop and deploy predictive models for pricing and claims outcomes. Build and maintain modelling tools, investigate new rating factors, and support production ML tooling to improve predictive performance and efficiency.

Lead regional pay gap analytics and reporting for EUPTD compliance, consolidate and validate country data, manage external reporting tool and vendor, ensure data governance and consistency, produce dashboards and insights, and support local HR teams across Europe.

Build and own end-to-end data pipelines, write production Python code, ensure reliability and data quality, collaborate with product and data science, and apply AI where valuable.

Own and mature the enterprise quality management and risk frameworks across data centres. Lead quality policies, audits, ERM, CAPA, process improvement, and risk reporting while partnering with stakeholders and auditors to ensure compliance and operational resilience.

Lead marketing measurement and forecasting to optimise growth. Design and analyse geo-lift and A/B experiments, partner with marketing and finance to measure LTV and campaign ROI, and work with engineers to ensure correct data collection and reporting.

Design, build, and scale production-grade ML systems for forecasting, labour planning and operational optimisation; own end-to-end deployment, monitoring, and iteration; measure business impact and partner with Product, Engineering, and Commercial teams.

The Lead Data Scientist will drive data science initiatives at Fyxer, building predictive models, maintaining data infrastructure, and fostering data-driven decision making across teams.

Lead assessment and redesign of backend architecture to improve reliability, scalability, multi-tenancy, and security. Design core abstractions and pipelines with platform/infrastructure teams, set technical direction for scaling to thousands of customers and tens of millions of documents, raise engineering standards, and ship production-grade systems while remaining hands-on.

The Senior Investments Associate is responsible for strategic investment management, asset acquisitions, financial modeling, and supporting projects from inception to completion while collaborating with key stakeholders and improving processes.

Lead design and delivery of cloud-native Data Integration Services to enable discovery, access, sharing, and governance of large simulation and ML datasets. Define data access patterns, storage integrations, permissioning, lifecycle, observability, and platform standards while mentoring engineers and driving cross-team adoption.

Provide methodological and statistical leadership across projects, design and deliver advanced analytics and ML solutions (including deep learning and NLP), mentor staff, manage client relationships, and drive business development in health outcomes and pharmaco-economics.

Lead and transform software and data engineering at Capital Group, inspiring a large team to drive strategic growth and innovation across various sectors.

The Senior Data Analyst will lead fraud analysis, optimize fraud controls using SQL and Python, and manage fraud reporting and dashboards, collaborating with various teams.

Lead quantitative investigations to evaluate product and trading performance across flexibility markets. Build simulation and optimisation models, analyse customer and market data, develop SQL/DBT pipelines, use Python to automate analysis and dashboards, and translate results for stakeholders to inform strategy.

The DataOps Engineer will manage data architecture, ingestion processes, and operational support for market data platforms, optimizing for performance and scalability while liaising with commercial teams.

Manage data science and strategy consulting for consumer products and manufacturing sector, leading business development and client relationships, and guiding team growth.