Top Data Jobs in London

Lead geospatial analytics projects, mentor junior analysts, design spatial datasets and web-based GIS applications for ESG reporting and decision-making.

The Senior Data Engineer will design and build an internal data platform, integrate data from multiple systems, and enable non-technical users to access and use data effectively, championing best practices in data engineering.

The role involves enhancing data governance and management activities, collaborating with teams on data source understanding, planning activities, and improving operational efficiency.

The Lead Data Scientist will own the data science strategy for non-lending products, manage projects, and collaborate with directors to enhance product offerings using data insights.

The Product Data Scientist will analyze user interactions, guide product teams using A/B testing, and collaborate with engineers to enhance data collection and insights.

The Senior Data Science Engineer will design production-grade analytical solutions in Python, contributing to data science methods and mentoring juniors. Responsibilities include creating reusable packages and collaborating with stakeholders.

Manage the design, development, and commercialization of analytical tools and data products for Citi's Securities Finance team, focusing on optimizing client returns and risk-adjusted performance.

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

Lead the development and strategy of AI products and data platforms for Sidetrade, ensuring integration and delivery of measurable value in enterprise finance. Manage the AI product suite and data foundations, while collaborating with leadership to drive market strategy and governance standards.

The Climate Data Scientist will enhance climate risk models, develop new analytical tools, and support financial entities in assessing climate impacts using large datasets and advanced methods.

The Data Engineer will build data foundations to monitor AI systems for safety, develop pipelines, and ensure data reliability while collaborating with various teams.

As the Global Director of Social Data, you will establish social media measurement strategies, manage analytics, and lead a global team to enhance data-driven decision-making for brands.

As a Senior Data Platform Engineer at Depop, you'll architect and build data platforms, working with various teams to enhance data capabilities, support complex business problems, and promote self-service tools while ensuring operational excellence and effective stakeholder collaboration.

As a Data Scientist in the GenAI CoE, you'll design experiments, build GenAI systems, and analyze results. This hybrid role emphasizes collaboration and innovation, focusing on improving AI solutions and processes.

The Junior Financial Data Analyst will manage finance master data in ERP systems, ensure data integrity, and collaborate with the Finance Team.

Lead Workday data migration, harmonisation, governance and ongoing data operations across HCM and Financials. Design data strategy, oversee mapping/conversion using Workday tools, validate loads, build quality metrics, advise stakeholders, lead data workstreams, mentor consultants and support pre‑sales activities.

As a Data Scientist, you'll build and manage high-quality datasets for secure Generative AI, collaborate on data needs, and ensure model performance.

Lead Brambles' enterprise data foundations program: define and scale data strategy, governance, MDM, metadata, data quality and architecture; coordinate cross-functional delivery, embed data into ERP/analytics/digital programmes, build teams, and ensure compliance and global adoption.

The Senior Principal Data & Insights role focuses on leading a team to drive data-driven decision-making globally, using tools like Power BI and ThoughtSpot, while ensuring process improvements and alignment with business objectives.

The role involves building ETL pipelines, optimizing datasets, leveraging public cloud technologies, and integrating with data science initiatives to support business-critical data and analytics products.

As a Senior Data Analytics Consultant, you will solve business problems using complex data, drive client engagement, and create visualizations for strategy support.

Develop and maintain kdb+ applications, collaborate with business users, analyze data, and mentor junior developers while delivering solutions on schedule.

Lead and innovate solutions for data-intensive financial institutions, design and implement kdb+ architectures, mentor developers, and maintain client applications.

The Product Data Science Manager will lead a team of data scientists, deliver custom insights, ensure analytical standards, and collaborate across teams.

The Data Analyst will process, analyze, and map data, ensuring accuracy across multiple data sources using Excel. Responsibilities include data validation, conducting research, and collaborating with global teams for process improvement.