Top Data Jobs in London

The Data Scientist will model clickstream data to represent UK and US demographics, analyze user behavior over time, and present findings to stakeholders.

As a Data Scientist at QRT, you will work with data to inform trading decisions, prototype data handling code, and solve data related problems.

Lead integration of exchange market data feeds and applications, manage infrastructure provisioning, and coordinate with teams for deployment and compliance.

As a Data Scientist, you will collaborate with trading and engineering teams to design data pipelines, onboard datasets, and innovate data extraction methods for investment decisions.

Ophelos seeks talented Data professionals for future roles, emphasizing a unique approach to debt management through empathy and innovative AI solutions.

The Data Engineer will lead project lifecycles, improve technology stacks, mentor engineers, embed AI in products, and collaborate with stakeholders.

Design and develop data processing modules and reporting systems, optimize data pipelines, and work with teams to ensure data quality and governance.

As a Lead AWS Data Engineer, you will design scalable data pipelines, collaborate on data solutions, and contribute to a lakehouse architecture, while applying software engineering practices.

The Senior Manager will oversee risk for Data and Feeds products, ensuring compliance, supporting partnerships, and identifying risks in technology and data delivery.

The Director will lead YouGov's global analytics strategy, ensuring effective data usage to drive product innovation, business growth, and client success while managing a multidisciplinary analytics team.

The Principal Data Engineer will enhance data platforms, automate processes, optimize infrastructure, and mentor teams while ensuring scalability and performance across data solutions.

Responsible for actioning product creation requests, ensuring data quality, collaborating with stakeholders, and assisting in data management processes.

The Senior Legal Counsel will advise on legal and regulatory issues related to AI and data governance, support product integration, and guide compliance with global regulations.

As a Marketing Data Analyst, you will enhance marketing performance through data analysis, support experiments, and automate reporting initiatives. Collaborate with marketing and tech teams to create actionable insights for campaigns.

The Market Data Software Engineer will lead the architecture and implementation of a low-latency market data platform, oversee engineering teams, manage projects, and ensure data quality and governance for financial services.

The VP of Data Strategy will lead YouGov in shaping data collection, integration, and curation strategies across global data sources, ensuring data quality and alignment with business needs.

The Data Engineer will build and manage telemetry systems to measure performance, automate processes, and provide insights for decision making across PhysicsX.

As a Fraud Analyst, you'll monitor fraud activity, investigate patterns, use SQL and Python for data analysis, and enhance fraud controls to protect customers while minimizing friction.

The Lead Data Scientist drives the data science strategy, develops innovative solutions, mentors team members, and supports business development in healthcare consultancy.

The Data Engineer will design and enhance data platforms, build data solutions, support data integrity, and collaborate with internal stakeholders in an Agile environment.

The Director of Data Partnerships will build a new data-licensing business, overseeing the commercial strategy and managing enterprise partnerships.

As a Data Engineer at Depop, you'll drive impactful data initiatives, shape data foundations, and deliver reliable data pipelines to support marketing teams.

Lead the architecture and development of a cutting-edge data platform, focusing on data pipelines, analytics, and AI integration while mentoring engineers and collaborating cross-functionally.

As a Senior Data Scientist, you'll design performance metrics, conduct experiments, maintain dashboards, and deliver insights for decision-making across SAFE studios.

Design and implement data lake architectures for banking clients on GCP, focusing on data governance, metadata management, and compliance with financial regulations. Build data pipelines and deliver MVPs while ensuring quality and security in solutions.