Top Data Jobs in London

The Lead Data Engineer will manage the data engineering function, lead a team, design data architecture, and enhance data engineering with AI solutions.

The Principal Data Analyst will lead a team to deliver analytical solutions, manage performance analysis, and optimize decision-making in the Supply domain.

As a Data Scientist, you will design and deliver data science solutions, work closely with clients, and drive delivery excellence while ensuring technical feasibility.

Lead the enterprise adoption of Data Solutions and Services, focusing on master data integration and shaping product strategy to enhance data interoperability and usability.

The Senior Applied Data Scientist will work with complex problems to deliver actionable insights using machine learning techniques and statistical modeling, collaborating with clients and teams to create scalable solutions.

The Data Analyst role focuses on using analytics, AI, and automation to improve operations at Lendable. Responsibilities include demand analysis, KPI framework development, and collaborating with operations leadership.

The Data Scientist will analyze data, build and refine machine learning models, document technical designs, and collaborate with multidisciplinary teams to deliver AI solutions.

Lead ownership of private markets data model and architecture, manage integration/connector inventories, design data migration and integration frameworks, advise clients and support sales, and bridge advisory and technical delivery teams to enable BI and enterprise performance solutions.

The role involves creating and automating infrastructure features for data platforms using Python, with a focus on distributed systems and collaboration within a global team.

The role involves automating OpenSearch operations by developing features in Python, collaborating with an international team, and providing expertise on data platforms.

As a Software Engineer on the data platform team, you'll automate data platform operations, write Python code, and collaborate on solutions within a distributed team.

Review, validate, correct, and import customer data; maintain onboarding project records; create data format guidelines; support training and liaise between Sales, Support, and Development to ensure accurate system onboarding.

Analyze data to generate insights for brand performance in Western Europe, troubleshoot data issues, and enhance reporting systems. Create frameworks for strategic analysis and support cross-functional collaboration.

Lead the development of data products by analyzing customer needs, improving data structures, and creating actionable insights through collaboration with cross-functional teams.

Join Zopa as a Data Engineer to build and maintain data pipelines and warehouses, enhance analytics quality, and collaborate across teams.

Join Zopa's Data Engineering team to design and build data pipelines, ensuring quality and reliability while collaborating with cross-functional teams to evolve data platforms.

The Compliance Data Analyst manages compliance data functions, enhances monitoring rules, supports regulatory reporting, and fosters internal stakeholder engagement.

As Associate Director of Ad Ops, you'll develop data strategies for clients, improve digital transformation, and ensure data governance while collaborating cross-functionally.

Lead a team of data scientists to develop data-driven solutions for supply chain efficiency. Implement machine learning techniques and mentor team members.

The Senior Manager will oversee the Group Motor pricing strategy, apply data science for pricing, and ensure compliance with governance and regulations while partnering with stakeholders.

The Market Data Analyst manages market data contracts, vendor relationships, regulatory compliance, and data queries while supporting market data projects and invoice processing.

Lead a team of data engineers to build scalable analytics solutions, ensuring team success, delivery of data solutions, and career growth.

The Finance Data Scientist leads financial analytics and modelling, supports FP&A cycles, and develops predictive models while collaborating with various teams to modernize reporting and enhance analytical products.

The data journalist will analyze financial data to produce insightful articles, create visualizations, and identify trends in financial markets and regulations.

Lead and deliver data science projects end-to-end, applying techniques to solve business problems and produce insights. Collaborate with stakeholders and teams to improve personalization propositions and derive scalable results.