Top Data Jobs in London

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.

Design infrastructure for AI-native learning experiences, develop adaptive learning capabilities, and create analytics systems to empower educators and track learner progress.

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

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.

Lead development and optimisation of telematics-driven pricing models. Use telematics data to influence pricing, manage risk spread, reduce customer prices, collaborate with stakeholders, document governance, and manage a small team of analysts while exploring new modelling techniques and data sources.

The Senior Data Scientist will lead AI-native capabilities development, build machine learning models, and collaborate across teams for advanced analytics supporting energy market strategies.

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.

The Portfolio Lead will develop and manage the Data product roadmap, collaborate with stakeholders to enhance learning experiences, and leverage data insights to improve retention and performance in AI and tech upskilling.

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.

As a Senior Data Analyst, you will analyze data, provide actionable insights, build reports, and support decision-making across departments.

As a Senior Data Analyst, you will analyze data, build reports, support marketing efforts, and communicate insights to stakeholders.

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.

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.

The Staff Data Product Manager will lead the vision for the Analytics Platform, focusing on user experience, product strategy, and cross-functional collaboration to drive impactful data initiatives.

The Senior Data Scientist will enhance clinical trial recruitment through data products and services, liaising between teams to develop efficient analytics and technologies, ensuring trust in a regulated environment.

The role involves hardware planning and installation in Data Centres, requiring management of workloads, space planning, and asset management. Close collaboration with teams and effective communication are essential.

As a Data Consultant, you will lead client meetings, provide product expertise, deliver data evaluations, and manage projects to increase OpenData adoption.

Lead Relation's Data Platform team by designing a unified data strategy, optimizing data workflows, and ensuring data governance, while developing a high-performing engineering team.

As a Data Analyst, you will manage the entire data lifecycle, build analytics models, transform data into insights, and engage with stakeholders to deliver high-value solutions.

As a Data Scientist, you will develop predictive models, customer segmentation, and ROI logic, collaborating with cross-functional tech teams to operationalize insights and enhance customer strategies.

As a Data Engineer, you'll design and maintain the data infrastructure, build ETL/ELT pipelines, manage data warehousing, and ensure data quality through automated frameworks. You'll collaborate with Product and Engineering to optimize data usage and mentor team members.

As a Data Analyst, you will manage the data-to-insight process, build data pipelines, optimize SQL queries, create dashboards, and collaborate with stakeholders to deliver actionable insights.

Join the Business Intelligence team as a Data Analyst, developing data pipelines, reporting, and dashboards to drive decision-making and efficiency. Collaborate with operational teams, utilizing data skills to support customer service and digital transformation initiatives.

The Senior Customer Marketing Data Analyst will manage customer marketing data, build data models, provide actionable insights, develop reports, and mentor other analysts within a cross-functional team.