Top Data Jobs in London

As a Senior Data Analyst, you'll analyze complex datasets, develop dashboards, collaborate with teams, ensure data integrity, and conduct statistical analyses.

Develop scalable computational workflows for multi-omics analysis, lead data integration, design statistical models, and communicate findings to stakeholders.

Join Relation as a Data Scientist focused on multi-omics data to apply statistical models and develop computational workflows, impacting drug discovery.

The Data Analyst supports infrastructure projects by analyzing data, developing algorithms, and designing data models to enhance project efficiency and decision-making.

Lead innovation in experimentation and causal inference, mentoring data scientists, driving research, and collaborating on data-driven decision-making.

Seeking a Front-End Engineer to lead UI architectural evolution, design component libraries, ensure performance, and guide technical leadership in a rapidly growing team.

Lead the Data Centre team, ensuring project delivery, client management, and technical excellence in mechanical services. Drive business development and project oversight across EMEA.

As a Lifecycle Data Analyst, you will focus on improving player journeys through experimentation and data analysis. Responsibilities include designing experiments, conducting exploratory analysis, defining KPIs, building analytical frameworks, and collaborating with cross-functional teams to inform product and business decisions.

Lead the creation of a People Analytics function, transforming manual processes into automated reporting, while ensuring data integrity, delivering strategic insights, and facilitating regulatory reporting.

The BI Data Analyst designs and maintains BI solutions using Power BI. Responsibilities include collaborating with stakeholders, developing datasets and reports, and promoting BI adoption across the organization.

Design and deliver enterprise-level data solutions using Azure tools and SQL analytics, focusing on data insights and customer satisfaction.

The Principal Administrator will manage end-to-end cloud and on-premises platforms, drive cloud strategy, and deliver IT infrastructure transformation over 3-5 years at Harrods.

As a Data Engineer II, you'll build data pipelines for Spotify's Rights Center, enabling rights management and content matching. Responsibilities include developing analytics models, maintaining data exports, and ensuring pipeline reliability.

The Senior Data Engineer will design and build scalable, high-performance data pipelines, integrating data sources for real-time analytics while collaborating with cross-functional teams.

Design, evaluate, and ship AI-powered internal GTM tools (account research, recommendations, summarization). Own end-to-end lifecycle from problem definition and data modeling to production-ready Python backends and React frontends. Rapidly prototype, productionize, measure adoption and business impact, and evangelize tooling via documentation and enablement.

As a Finance & Data Administrator, you will manage service charge reporting, data systems, and support the management team in a vibrant retail environment.

The role involves managing data solutions, overseeing ETL processes, optimizing dashboards, and leading client interactions while mentoring analysts to ensure high-quality deliverables.

The Product Data Science Manager leads a team to deliver custom data insights, ensuring analytical excellence and client impact while collaborating with various stakeholders.

The Staff Data Scientist will provide technical leadership in Claims, developing ML and AI systems for risk decisioning and fraud detection, collaborating with cross-functional teams to scale decisioning and enhance claims automation.

The Senior Risk Business Partner will oversee technology, data, and product risk governance, providing guidance to stakeholders on risk management practices.

Lead a multidisciplinary team in data transformation, enhance data capabilities, and partner with business leaders to drive data and AI initiatives.

The Technical Data Analyst will manage and validate product data for compliance with forest product regulations, focusing on traceability and risk assessment in supply chains.

Maintain and QA daily multi-factor risk models, quantitative indices, and multi-asset data analytics. Monitor markets and corporate events, analyze large financial datasets, support client inquiries, streamline data production processes, and collaborate with global teams to ensure accurate index and data product delivery.

As a Principal Data and AI Architect at Salesforce, you will design enterprise-grade AI and data architectures, guide senior customer executives, and lead pre-sales technical solutions utilizing the Agentforce platform and Data 360.

The Expert Partner leads client engagements, develops relationships, manages teams, drives innovation in Data and AI consulting, and achieves financial objectives.