Top Data Jobs in London

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.

The Data Product Manager at ASOS will define the vision, strategy, and roadmap for data products, collaborating with engineering and cross-functional teams to enhance data accessibility and drive evidence-based decision-making.

Lead the design and operation of CUBE's data platform, build and mentor engineering teams, and ensure data governance while optimizing performance.

The role involves applying advanced econometric and data science techniques to improve real estate modelling, collaborating with global teams, and producing high-quality analysis outputs.

Lead the data science function at Fresha, building credibility and infrastructure, shipping impactful ML products, and scaling the team to align with business needs.

The Senior Product Manager will lead the data foundations domain, enhancing product data flow, structure, and partnerships, while focusing on customer-impacting decisions and metrics.

The role involves designing and implementing the Trading Data platform, focusing on the capture of order data and ensuring high availability and performance. Responsibilities include collaborating with teams to create scalable solutions, supporting the system, and owning project design and development.

The Senior Data Privacy Analyst will provide expert advice on data privacy, manage assessments, ensure compliance, and support cross-border data transfer initiatives while fostering a data privacy culture.

The Junior Data Engineer will design ETL pipelines, support database development, ensure data quality, and present findings to stakeholders.

The Data Solution Architect will design and implement cloud-based data and AI platforms, ensuring scalable data solutions and effective communication with clients.

The Data Engineer will implement cloud-native data platforms, engineer scalable pipelines, and optimize cloud resources using Python and SQL, while applying agile methodologies and cloud automation tools.

As a Senior Data Analyst, you will gather and document business requirements, manage stakeholders, analyze complex datasets, and create data models and dashboards.

As a Data Science Managing Consultant, you will lead business development, manage teams, and deliver data-driven solutions in the transport sector, while coaching junior staff and contributing to thought leadership.

As a Senior Research Data Scientist, you will apply machine learning and statistical techniques to solve complex business problems, develop science-based solutions, and conduct data analysis for global clients like Tesco and Coca-Cola.

Lead technical strategy for claims fraud data science, designing and shipping production ML and Generative AI/LLM systems. Drive system-level improvements for model integration, monitoring, feedback loops and QA. Influence cross-functional product and engineering decisions to scale AI-driven claims automation and improve measurement of performance and uncertainty.

As a Senior Data Product Manager, you'll shape data product strategy, collaborate with technical teams, and drive measurable business outcomes through data-driven solutions.

Build end-to-end testing, evaluation, and feedback systems for a global GenAI assistant. Design data pipelines, APIs, and dashboards; own features from design to production; ensure safety, compliance, and quality; provide technical leadership and mentor peers.

Customer-facing technical leader owning long-term technical success and value realization for strategic enterprise accounts. Architect and lead implementations, migrations, and scalable cloud-native deployments; build joint success plans; monitor adoption and health; partner with Sales, Product, and Engineering; and provide technical guidance, reference architectures, and feedback to drive predictable expansion and customer outcomes. Travel to customer sites as needed.

Contribute to the Data Engineering team by building data models, optimising the Data Warehouse, and improving data quality while applying best practices.

Seeking a Software Engineer for Regulatory Reporting to build backend systems ensuring compliance. Responsibilities include system design, data integration, and audit support.

The role involves building and scaling data infrastructure for multimodal AI systems, developing high-throughput data pipelines, and collaborating with ML researchers and product teams to enhance data systems.

Manage, validate, and enhance FactSet's Technology sector datasets; integrate new sources into products and APIs; translate client needs into product requirements; build visualizations and collaborate with engineering, QA, and stakeholders.

Join Capi as a Data Analyst to shape data initiatives, build analytics for decision-making, and enhance data accessibility in a fintech setting.

As a Data Architect, you'll lead traditional data architecture practices, provide technical guidance, manage a team, and engage with clients.

Design, build and maintain scalable data pipelines, data lakehouse and graph models (Neo4j); enable self-service reporting (Power BI); implement monitoring, testing, CI/CD, data quality and performance tuning to deliver trusted cybersecurity datasets and dashboards.