Top Data Jobs in London

Lead mechanical delivery for hyperscale and co-location data centre projects across EMEA. Drive client relationships and business development, manage project financials, mentor teams, ensure mechanical design and engineering best practices for mission-critical environments, and support growth of AECOM’s data centre capability.

The Staff Backend Engineer will lead the technical vision for Depop's data platform, focusing on data ingestion, scalability, observability, and architecting data solutions while mentoring team members.

Lead the design and operation of CUBE's data platform, build and mentor engineering teams, and ensure data governance while optimizing performance.

Lead data modelling, exploratory analysis, and dashboard/reporting development. Deliver business insights, collaborate with stakeholders, mentor junior staff, and drive analytics best practices and experimentation.

Maintain and evolve the data platform across AWS and Snowflake. Build scalable ETL/ELT pipelines, implement data transformations, ensure data quality, and collaborate with analytics, engineering, and AI/ML teams to deliver reliable datasets and drive business value.

Drive data reporting and analytics by exploring and documenting data, building reusable data models, delivering business insights, designing dashboards, and partnering with stakeholders and data engineering to translate questions into technical solutions.

As Director of Data, you will lead the Data & AI function, building a team to execute data strategy and drive business value in financial services.

As a Senior Data Analyst, you will leverage data to enhance customer engagement, drive business decisions, and lead analytical initiatives across teams.

Design and deploy data science solutions using machine learning techniques to help defence clients solve high-impact problems. Work collaboratively and communicate technical concepts effectively.

As a Data Architect, you will define data architectures for client programs, driving data and AI transformations, and crafting secure and scalable data solutions across various technologies.

Lead and grow a team to manage data infrastructure for AI safeguards, ensuring compliance with data regulations like HIPAA and building privacy-safe data interfaces for ML workflows.

Design and build reliable, performant data pipelines for large payment datasets. Own end-to-end data flows, drive data quality, implement transformations (dbt), operate on StarRocks and Flink/Spark in cloud (AWS/GCP), collaborate cross-functionally, establish engineering standards, mentor engineers, and shape CI/CD and incident practices.

Lead discovery, roadmap, and delivery of industry-specific data feed products. Gather client and stakeholder requirements, prioritize features, collaborate with engineering, sales, and marketing, manage releases, resolve issues, and create training and support collateral to ensure high-quality feed products and client outcomes.

The Energy Analyst will enhance data systems for market data utilization, collaborating with engineers to improve data handling and quality assurance processes, driven by a passion for clean energy.

Lead product-focused analytics and experimentation to uncover growth opportunities, define KPIs, analyze user behavior and retention, quantify feature impact, and communicate data-driven recommendations to cross-functional stakeholders.

Lead and scale product, marketing, and business analytics and experimentation. Set strategy, enforce statistical standards, deliver metric governance and single source of truth, partner with Analytics Engineering, drive marketing measurement and forecasting, hire and mentor senior managers, and represent analytics at executive level to improve retention, conversion, monetization, and LTV.

Lead and scale Preply's data products function: define vision, build ML/LLM and data platform products, drive experimentation, measure business impact, hire and coach teams, and partner across Product, Engineering, and Data to deliver scalable, product-first data capabilities.

Partner with Payments Operations to analyze and optimize pay-ins, payouts, and fraud. Build statistical and ML models, design experiments, monitor transaction health, improve risk rules, and deliver insights to shape product and monetization strategy.

Join the DSAE team as a Data Scientist to drive customer-centric decisions through data analysis, modeling, and collaboration across departments at PlayStation.

Design and develop scalable reference-data services, automate lifecycle events, build/internal and external reporting (real-time and batch), collaborate with research and execution teams, maintain CI/CD and automated testing, and integrate Python and C# components to support trading and research workflows.

Design, implement, and improve Spark-based data pipelines for Veeva Link's data platform. Own features end-to-end, collaborate with data science to operate ML models, and enhance observability, performance, and precision.

Lead decision-making on data analytics changes, document processes, make data accessible, and help uphold professional standards within the organization.

The Data Scientist will develop and enhance machine learning models for ranking and recommendations, collaborating with Product and Engineering teams while applying statistical reasoning and evaluation methodologies.

Manage the product strategy for Hiscox's Data Ecosystem, ensuring it meets analytics and integration needs while collaborating with stakeholders and leading cross-functional teams.

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.