Top Data Jobs in London

The Data Architect will design and manage data architectures, ensuring compliance with healthcare standards while influencing data strategy for enterprise-scale solutions.

The Senior Manager will lead the development and enhancement of the data pipeline, mentor data engineers, and optimize data processes within the data engineering team.

The Data Operations Manager will oversee data integration projects, manage team performance, design efficient processes, troubleshoot issues, and collaborate with various stakeholders for effective data flow and reporting.

The Senior Data Scientist will work with the Responsible Investment team to analyze and enhance data insights from sustainability datasets, while proposing innovative data solutions and tools for investment processes.

The Principal Product Manager for Data Platform will own the vision and roadmap for an AI-enhanced data discoverability platform, ensuring data assets are searchable and reusable. Responsibilities include defining platform capabilities, driving governance frameworks, and leading cross-functional collaborations to enhance data quality and user satisfaction.

The Market Data Analyst will support contract negotiations, manage supplier issues, and oversee procurement processes while ensuring cost efficiency and governance.

The Data Governance Analyst will manage and secure data assets, develop governance policies, enhance data quality, and collaborate across departments to support business decision-making.

Lead the Autoplanner team to develop AI systems for logistics, integrating data science models with backend services while mentoring team members and improving processes.

The Data Science Lead will lead a team of data scientists in developing ML systems for logistics, overseeing the entire lifecycle from research to production.

The Senior Data Analyst will lead analytics for search systems, improve ranking quality, validate data strategies, and publish insights using data visualization tools. They will also mentor team members and collaborate cross-functionally to enhance evaluation frameworks.

The Senior Data Scientist I will lead the development of advanced search and generative AI systems, focusing on retrieval and evaluation, collaborating across teams to deliver impactful solutions.

The Senior Data Engineer will develop, maintain, and support data pipelines and artefacts for SCOR's data ecosystem, ensuring high-quality data management and promoting best practices across teams.

Lead clients in Master Data Management and SAP MDG, advise on data governance strategies, and support S/4HANA migration processes.

The Senior Data Scientist will build predictive models, optimize pricing strategies, engage with stakeholders, and drive innovation in data analytics at Hastings Direct.

As a Senior Data Scientist, you'll develop advanced ML solutions, optimize models, ensure compliance, and oversee the product lifecycle in the Credit Risk Technology team.

The Data Operations Support Analyst supports data feed utilization, demonstrating benefits to accounts, ensuring customer service, and resolving technical issues related to data feeds.

The Software Engineer will manage data collection for model training, operate cloud infrastructure, and collaborate on data management strategy to enhance Speechify's AI capabilities.

The role involves building and operating a data platform, ensuring data discoverability and query-ability, and mentoring team members.

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

As a Senior Data Scientist, you will lead teams to deliver algorithms for clients in defense, mentor junior data scientists, and ensure projects meet technical feasibility and timelines.

The Director of Global Client Finance Data & Platform will lead data architecture and operations, manage data pipelines, and oversee the integration and reporting of financial data, ensuring quality and accessibility for Global Client Finance's strategic analysis.

The Senior Pricing Data Scientist will build and enhance ML pricing engines, run experiments, create data science products, and communicate findings effectively.

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.

The Data Consultant role involves analyzing data to solve client challenges in financial services, facilitating communication between technical teams and stakeholders, and supporting AI adoption initiatives.

The role involves managing risk data quality and governance in the FRM function, ensuring compliance with regulatory standards, and collaborating with teams on data governance initiatives.