Top Data Jobs in London

Work cross-functionally to design and execute data-driven strategies across pricing, promotions, forecasting, growth, credit risk, and product analytics. Build models and monitoring, evaluate new product/channel opportunities, present insights to leadership, validate deployed strategies, and mentor junior analysts to scale the business.

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

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.

The Data Product Manager owns the product plan and strategy, drives customer success, manages complex datasets, and collaborates with teams to improve data quality and product execution.

As a Data Platform Engineer, you will design, build, and maintain Azure and Snowflake data platforms, develop Infrastructure-as-Code, and support CI/CD processes while troubleshooting and improving the platform.

The Principal Consultant will shape and implement Enterprise Data Management capabilities in Financial Services, leveraging over 10 years of experience to advise clients and lead strategic projects.

Manage high-impact marketing effectiveness programmes, oversee project governance, mentor teams, and drive strategic client insights, focusing on business growth.

The role involves owning operational processes for the Data & Applied AI team, ensuring alignment, tracking project delivery, and improving team efficiencies while working closely with the VP.

The Senior Applications Developer and Data Specialist will develop and support core business applications and data platforms while ensuring secure development practices and engaging with business teams for process optimization and automation initiatives.

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.

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.

Join the Data Strategy team to design, build, and maintain cloud-based ETL/ELT pipelines and data services using Python, SQL, Spark, and Databricks. Integrate heterogeneous data sources, prepare curated datasets, support production operations, and contribute to migration and platform modernization efforts for analytics and downstream consumers.

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 kdb+ Engineer, you'll design and implement kdb+ architectures, mentor developers, and lead projects for financial institutions, ensuring high-performance solutions.

As a Senior kdb+ Engineer, you will deliver high-performance solutions for financial institutions, lead technical projects, design robust architectures, mentor developers, and drive innovation in kdb+ and time-series data handling.

Collaborate with users to define application requirements, develop and test code, support project delivery, analyze time-series data, and mentor juniors.

The role involves designing and implementing Master Data Management solutions, assessing enterprise data domains, and defining governance structures, requiring strong consulting skills and Azure expertise.

Leads the Payments data strategy and partners with Product, Engineering, and Design to shape payment products, commercial optimization, customer growth, metrics, architecture, and operating models. Builds and scales a high-performing, full-stack data organization spanning data science, analytics engineering, machine learning engineering, and analytics. Serves as a trusted Payments Leadership partner, translating technical, product, and commercial perspectives into high-impact decisions.

Own and develop data products that improve Funding Circle’s data maturity and enable data-driven decision-making. Translate stakeholder needs into prioritized roadmaps, manage domain OKRs, collaborate with data and analytics engineers, and create valuable datasets and data solutions. Coach junior data product colleagues, align product engineering with analytics teams, and communicate technical delivery in terms of business outcomes.

Lead the design, evolution, and operation of enterprise data platforms, pipelines, transformation frameworks, and analytical datasets. Establish engineering standards for quality, monitoring, governance, security, CI/CD, testing, and automation. Mentor data engineers, guide architecture and technology decisions, shape data roadmaps, and partner with analytics, BI, architecture, and business stakeholders. Ensure scalable, reliable, cost-effective data solutions support reporting, advanced analytics, AI, and digital transformation.

Leads the EMEA Global IP Network sales organization, driving new recurring revenue, strategic account growth, renewals, upgrades, and team quota attainment. Manages sales representatives, supports complex deals, coordinates with Product, Engineering, Operations, Finance, Marketing, and affiliates, and reports sales activity and trends to senior leadership. The role also develops sales processes and training, addresses performance issues, and requires domestic and international travel.

The Senior Data Engineer will deliver complex data engineering for insights and analytics, collaborating with multiple stakeholders and managing team outputs.

Build and support large-scale data infrastructure and datasets for Spotify’s user behavior data. Design data architectures, develop collection and processing systems, and improve reliability, scalability, and usability. The role supports personalization, recommendation systems, and internal data teams while requiring collaboration across product and engineering disciplines.

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

Manage the applied methods Data Science team supporting autonomous driving. Set priorities and roadmaps, review technical designs, ensure statistical rigor, manage delivery, hire and develop data scientists, scale tooling and automation, and build strong relationships with Autonomy stakeholders and customers. The role requires causal inference expertise and experience leading high-performing teams, with desirable experience in ML, simulation, offline evaluation, distributed computing, and productionizing research.