Top Data Jobs in London

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.

The Data Scientist (Product Analytics) will develop product analytics, improve data quality, conduct A/B tests, analyze user behavior, and collaborate with cross-functional teams to inform product strategies and enhance user engagement.

The Staff Engineer will define architecture, lead data pipeline design, ensure platform reliability, and mentor engineers, driving data initiatives and technical standards.

As an Engineering Manager, lead a data engineering team to enhance Yuno's data platform, ensuring reliable processing of payment events, guiding technical decisions and cultivating a strong team culture.

Lead and grow Modash's Data Products focusing on API customer journey, revenue growth, and team management, aiming for significant revenue increase.

Lead pre-sales activities at Datatonic, shaping data and AI solutions, architecting transformations, and advising clients across various industries. Build trust with C-suite, manage RFPs, and represent the company in strategic engagements.

The Lead AWS Software Data Engineer will design and develop scalable data pipelines using Python and AWS tools, collaborate with business teams, and enhance data quality and observability while applying modern software engineering practices.

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 Senior Data Scientist will lead experimentation and causal inference analysis, drive strategic insights, and enhance decision-making through data interpretation in a hybrid work environment.

As a Senior Data Scientist, you'll develop predictive models that drive business decisions, work with data engineers on infrastructure, and collaborate with various stakeholders to improve operational effectiveness.

As a Graduate Data Scientist, you'll engage in AI and machine learning projects, transforming financial data into automated lending decisions while collaborating across teams and developing product features.

Lead the design of data platforms for AML/KYC and Fraud products, shaping data systems, coaching engineers, and setting technical direction across teams.

The Data Scientist role involves data sourcing, analysis, model development, and stakeholder management to optimize marketing and enhance customer experiences using machine learning and AI.

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 Senior Data Engineer, you will enhance data governance, improve data quality, and ensure compliance. You'll lead implementations, develop observability systems, and mentor teams to strengthen data reliability across the organization.

Lead Lawhive's data function, transforming the data stack and integration for acquired firms, while building a self-serve platform for internal teams and driving AI-native practices.

Design and deliver bespoke data science solutions, scope technical feasibility, build scalable algorithms and software, advise clients, set technical standards for project teams, and contribute to thought leadership and delivery of high-impact AI projects.

As Lead Data Scientist, oversee project teams delivering AI solutions, mentor junior team members, and shape technical strategy for financial services clients.

As a Data Management Specialist, you will integrate experimental data for drug discovery, collaborate with teams, and develop data workflows to support decision-making.

As a Data Curator, you'll integrate and curate biomedical datasets, ensuring quality for machine learning applications in drug discovery, while collaborating with research teams.

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.

Provide actionable insights by analysing large datasets, building dashboards, models and proofs-of-concept, measuring campaign ROI, answering stakeholder questions, and improving reporting and data practices.

Build and maintain real-time and batch data pipelines, consolidate data into data lakes/warehouses, implement ETL/ELT and data modeling best practices, develop transformations and notebooks, create interactive reports, and collaborate with engineers on data quality, testing, validation, and documentation.

Lead mechanical delivery for hyperscale and co-location data centre projects across UK/EMEA. Drive technical excellence, client relationships, work-winning, team leadership, and project financial management for mission-critical environments.