Top Data Jobs in London

Lead and deliver multiple data and analytics engagements for private equity clients across Europe: shape proposals and pricing, drive go-to-market, set delivery standards for UK-India delivery, mentor senior staff, engage C-suite stakeholders, and travel extensively to support portfolio companies.

The Data Engineer will analyze, clean, and manage various datasets to assist traders at Jane Street, automating ETL processes and ensuring data quality.

The Market Data Specialist will improve data quality in the Security Master and Corporate Action Management systems, troubleshoot issues, and interface with data providers.

Lead and build Alto's data science capability: define roadmap, develop and productionise predictive models (churn, propensity, forecasting), run experiments, create segmentation and scoring, surface insights via ThoughtSpot, collaborate with engineering and commercial teams, and hire/mentor a data science team.

Design, build, and maintain cloud-native backend services for index data processing. Write production-ready Python, deploy and operate services on AWS, use Infrastructure as Code, and monitor/debug systems with observability tools like Prometheus and Loki. Collaborate with product, research, and engineering teams.

Design, build, and maintain performant PostgreSQL datastores, scalable data pipelines, and production-ready Python HTTP APIs. Implement automated testing, ensure data quality, and work with researchers and clients to deliver data features for financial analysis.

Develop, backtest, operationalise and trade American Football quantitative strategies (pre-match and in-play). Set and adjust pricing, monitor models live, manage risk, collaborate with quants and engineers, and support data acquisition and cleaning.

Triage and resolve Master Data Management (Party, Risk, Reference) issues in Stibo STEP, run targeted data-cleansing sprints, monitor data quality dashboards, support releases/UAT, and maintain documentation and playbooks to prevent recurring data issues.

Senior Data Scientist owning end-to-end analytical problems: experiment design, predictive and inferential modeling, performance measurement, and cross-functional partnership to improve retail AI products. Duties include data acquisition, modeling, validation, auditing system outputs, building reusable statistical methods, and communicating findings to influence product and operations.

Data Contributors will research startups, analyze global data for StartupBlink's Global Startup Ecosystem Index, and compile accurate information for publication.

The role involves developing go-to-market strategies for VAST Data within the UK Defence & Secure Government sectors, building relationships with key stakeholders, identifying and closing strategic sales opportunities, and representing the company at industry events.

Partner with business stakeholders and technical teams to define, monitor, and improve data quality across insurance systems. Translate requirements into validation rules, run profiling and anomaly detection, produce dashboards, support remediation, and embed data quality checks into processes and projects to support a new data platform.

Lead and manage FIA and OFE delivery across multiple data centre projects. Act as Owner's Representative/PMC to coordinate vendors, validate schedules (TTS/TTD), oversee FAT and site sign-off, manage risks, scope and design changes, and ensure contractor interface and logistics for equipment commissioning and deployment.

Design and implement cutting-edge data solutions for AI-driven transformations, collaborating with clients, developing scalable architectures, and supporting AI integration.

The Senior Systems Engineer will assist customers with evaluations, installations, and configurations while collaborating with R&D to define product requirements. Responsibilities include creating sales strategies, demonstrating expertise in storage products, and assisting in team development and recruitment.

Lead growth and delivery of Cloud ERP (primarily SAP S/4HANA Public Cloud) engagements. Act as trusted advisor to C‑suite, originate sales, manage programme delivery, financials, multi‑vendor teams, and coach talent. Support propositions across Dynamics 365, NetSuite and Workday Financials and integrate native AI capabilities.

Lead and grow S&W's Cloud ERP/SaaS Business Applications practice with a core focus on Dynamics 365 F&O. Serve as trusted advisor to C‑suite clients, originate and shape sales opportunities, manage end‑to‑end delivery and engagement financials, lead UK and offshore teams, and coach/mentor staff while expanding capabilities across a broader Cloud ERP portfolio.

The Senior Data Engineer will design, develop, and maintain data pipelines, ensuring data quality and reliability while collaborating with cross-functional teams to meet business needs.

Responsible for designing and maintaining data pipelines, collaborating with teams for data quality, and developing engineering solutions using various tools and technologies.

The Data Architect will design data solutions, work with stakeholders, manage projects, and develop data architecture to meet business needs.

The role involves guiding the Data Science team to develop search and recommendation systems, working with commercial teams to deliver user-focused products, and managing multiple projects related to data science implementation.

Lead the data squad to manage product flows between Reflexivity and partners, ensuring the integration of data products and refining data ingestion processes.

The Senior Solutions Engineer will support technical solutions, engage in RFP processes, design proposals, and engineer cost-effective solutions for customers' IT environments.

Lead the roadmap and delivery of Ohme's data and AI products: prioritize features, define requirements and success metrics, work hands-on with ML/data engineers to ship and iterate, liaise with commercial and ops teams, and drive adoption and measurable business outcomes.

The Data Integration Director will lead digital marketing feed strategies, facilitate client relationships, optimize product data across platforms, and drive innovation while mentoring teams.