Top Data Jobs in London

The Senior Product Owner (Data / AI) will be responsible for leading the development of data-driven product domains, collaborating with analytics and AI teams, defining product strategies, and ensuring the execution and delivery of data & AI product features.

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

As a Senior Data Scientist, you will drive insights for commercial and supply teams, using analysis to improve coverage and offerings for Trainline, and support strategic decision-making with robust data-driven insights.

The role involves developing reports and dashboards using Power BI, collaborating with stakeholders for data analysis, and supporting BI initiatives within the Group Data team.

The HR Data and Insights Specialist will shape reporting services, manage projects, ensure data quality, and promote a data-informed culture within the HR team.

Lead data-driven strategic partnerships, translating data insights into commercial strategies and influencing executive decisions for sustainable growth.

As a Senior Data Analyst, you will design and build scalable analytics solutions, manage analytics initiatives, and promote data-driven culture while supporting other analysts.

The Senior Data Analyst will lead marketing analytics, drive insights into user acquisition, define metrics, conduct A/B testing, and collaborate with Product and Engineering teams to inform strategy.

As a Technical Account Manager, you will manage post-sales activities, ensuring customer installations and upgrades run smoothly, while advocating for customer needs and coordinating with engineering and support teams.

The Senior Manager, Data & BI leads data analysis and engineering, setting strategy and delivering actionable insights across the organization. Responsibilities include team leadership, data governance, and collaboration to support marketing and academic teams with data-driven insights.

As a Palantir Data Consultant, you will analyze business needs for data solutions, facilitate workshops, and manage stakeholder engagement, ensuring delivery in agile environments.

The Data Scientist will lead client projects, utilize data science techniques, and manage stakeholder relationships while developing scalable models. Strong communication and problem-solving skills are essential, focusing on innovation and collaboration.

Design and manage scalable log ingestion pipelines within the Elastic SIEM ecosystem, ensuring data quality and compliance while mentoring junior engineers.

As a Data Engineer, you'll develop data pipelines, manage data integration and transformation, and support analytics and intelligence projects for government clients.

Lead AI strategy and execution at Pigment, mentor a team in AI and data science, and drive AI integration across the organization.

Seeking an Associate Director to lead financial crime transformation projects, develop data teams, and enhance company culture while driving sales.

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.

The Senior Marketing Data Analyst will design and implement measurement frameworks for evaluating performance marketing impact, develop predictive models, and collaborate cross-functionally to optimize marketing strategies using advanced analytics and causal inference techniques.

Design, implement, and maintain data solutions on the cloud; serve as a data expert, enhance data pipelines, and present complex data visually.

This role oversees the data engineering strategy at Sony Interactive Entertainment, driving initiatives across Player, Partner, and Enterprise data domains, ensuring high-quality, scalable data products that inform decisions and optimize operations.

Lead the development and innovation of reference data and security master solutions, ensuring alignment with business objectives and providing exceptional support to internal customers.

Join a Bioinformatics Team to build data pipelines for genetic research, ensuring data quality and collaborating with stakeholders.

As a Pricing Data Scientist, you will enhance ML pricing models, develop adaptive experimentation systems, and build impactful data science products while communicating insights effectively to various stakeholders.

As a Data Scientist in the Partnerships Strategy team, you will analyze pricing strategies, partner performance, and customer acquisition, applying machine learning and statistical methods to inform business decisions.