Top Data Jobs in London

Partner with product, data science and engineering to deliver high-quality analysis, run customer journey and A/B test analyses, build visualizations and self-service tools, mentor junior analysts, and influence product strategy and data-driven culture across the company.

As a Lead Data Scientist, you will develop algorithms to combat financial crime, collaborate with teams, and engage in product design and prototyping using payments data.

As a Commercial Strategy Lead, you will shape and drive commercial strategies, develop go-to-market approaches, and lead cross-functional initiatives to unlock new growth opportunities.

Lead and deliver data, AI, and transformation projects while managing scope, cost, and timelines. Collaborate with senior stakeholders and ensure project governance, risk management, and team performance. Drive business transformation initiatives and client engagement.

Design and deliver a real-time liquidity observability stack and core treasury functions. Build scalable, event-driven systems, implement monitoring and control mechanisms, automate cash investment and risk tooling, and collaborate with product, data scientists and stakeholders to forecast cash flows and optimize liquidity.

Lead design and delivery of real-time liquidity observability and core data systems for Treasury Global Liquidity. Build scalable event-driven data platforms, collaborate with product, analysts and data scientists, implement monitoring, controls, and automation for cash management and risk, and mentor engineers to ensure high-quality, reliable production systems.

Consulting role leading project, programme and portfolio delivery for financial services clients. Provide delivery leadership, stakeholder management, benefits realization, and domain SME expertise across payments, insurance, banking, wealth, regulation, risk and technology-driven change.

Lead the strategy and growth of the Data Practice at Capco, managing multidisciplinary teams and delivering high-impact analytics projects in Financial Services.

Serve as trusted advisor to banking clients to identify, quantify, and realize value from Celonis Process Intelligence. Lead value assessments, build business cases and demos, run workshops, manage stakeholder communication, drive adoption, expansion and renewals, and feed product teams with customer insights.

Own and operate production quantitative infrastructure for real-time FX pricing, risk, and trading. Build and maintain Python microservices, monitoring, CI/CD, shared quant libraries, and incident response. Collaborate with quants, traders, product and engineering to improve pricing, risk analytics, and trading systems while contributing to quantitative models.

Partner with Digital X Technology, Data & AI leaders to ensure investment decisions deliver value and financial control. Oversee P&L and balance sheet impacts, support strategic planning, appraise transformation initiatives (cloud, platform modernisation), lead a finance team, and provide executive-level financial insight and escalation in a regulated banking environment.

Lead end-to-end delivery of compliance data products: translate business needs into specs, map sources, define KPIs, design transformations with data engineers, run UAT, and build insightful dashboards to drive stakeholder decisions.

The Legal Data Strategy Director will establish the legal data framework, engage partners, and oversee data integration for the legal research product.

Own paid lead-generation across Meta and Google, run and optimise acquisition campaigns, build SQL-based analytics connecting campaign, CRM and onboarding data, improve data-to-ads signal integrations, optimise conversion paths and run statistically rigorous A/B tests, and partner with country sales leaders to drive qualified pipeline and efficient unit economics.

The role involves designing and maintaining a data platform, enhancing system efficiency, implementing data query solutions, and technical reviews within a data engineering team.

Design, build, and operate highly scalable real-time streaming microservices and data pipelines (Java/Python/Go) using Kafka, Flink/Spark on Kubernetes across multi-cloud and on-prem. Own design, deployment, monitoring, observability, and on-call support while improving platform reliability and developer experience.

The Engineering Manager will lead a Data Replay & Recovery Team to build a data replay application, improve service efficiency, and design a data platform for processing large datasets.

The Sales Manager will oversee selling data platforms to healthcare customers, managing relationships, and developing sales opportunities across the UK.

Lead commercial strategy for digital & technology suppliers, advise senior stakeholders, drive complex negotiations across cloud, SaaS, data and digital services, design commercial models and risk frameworks, and source market insights to build strong supplier partnerships.

As a Senior Azure Data Engineer, you'll design and deploy data engineering pipelines using Databricks on Azure, collaborate with clients, and implement best practices in a consulting environment.

Lead architecture and delivery of data solutions on Databricks within Azure, ensuring best practices in data pipeline design and implementation.

The role involves designing and building data pipelines using AWS technologies, leading projects, and mentoring junior engineers in a data engineering context for financial services.

Design and build cloud-based data pipelines using AWS tools, collaborate with clients, ensure data governance, and mentor junior engineers.

The Senior Product Marketing Manager will lead go-to-market strategies, create compelling messaging, drive awareness, and enable product adoption through sales tools and content development.

Drive adoption of Databricks solutions in the Middle East, develop strategic engagement with clients, and close new business deals.