Top Data Jobs in London

The Market Data Specialist will improve data quality in the Security Master and Corporate Action Management systems, troubleshoot issues, and interface with data providers.

The Data Engineer will architect and build data platforms, manage datawarehouses, support production systems, and collaborate with portfolio managers and developers to meet business needs.

Lead the development and deployment of advanced ML/AI products, mentoring teams and collaborating with stakeholders to influence business outcomes.

Design, implement, and maintain data solutions on the cloud; serve as a data expert, enhance data pipelines, and present complex data visually.

The Senior Product Owner (Data / AI) will be responsible for leading the development of data-driven product domains, collaborating with analytics and AI teams, defining product strategies, and ensuring the execution and delivery of data & AI product features.

Lead data analytics initiatives to support operational decisions and develop reporting tools that ensure accurate metrics and insights for the organization.

The Data Scientist develops data pipelines, machine learning models, and optimization models, integrating features into the product's technical stack and business processes.

The Data Engineer will design and build production-grade data pipelines and architectures for AI solutions, ensuring data quality and collaborating with cross-functional teams.

As a Senior Data Scientist, design AI agents, perform data analysis, lead teams in data science projects, and ensure technical solutions drive real value.

The Senior Alternatives Data Analyst will manage critical data for investment processes, collaborate with investment teams, ensure data quality, and support analytics use cases while driving operational transformation.

The Principal Data Scientist will lead best practices in AI/ML experimentation and model governance, ensuring methodological rigor and effective collaboration with domain experts and AI teams.

The Senior Data Scientist will lead AI projects, mentor junior staff, design software architecture, and engage with clients to deliver quality data science solutions.

The role involves leading AI research and development, designing AI solutions, mentoring teams, and collaborating to deliver enterprise-scale AI capabilities.

The HR Data Analyst ensures robust data integrity and reporting, supports strategic workforce planning and adherence to policies, while analyzing compensation data and assisting with HRIS support.

Lead organization’s reward programs, optimizing HRIS functionality, managing compensation and benefits, and ensuring compliance and analytics for decision-making.

The Lead Data Scientist will develop machine learning models for sports analytics, collaborate across teams, mentor others, and implement scalable data pipelines.

Lead the creation of a Financial Data Center of Excellence, overseeing data governance, architecture, system migration, and analytics enablement within Finance.

The Director of Marketing will lead EMEA marketing efforts, managing the marketing plan, budget, and execution while collaborating with global teams and stakeholders to achieve objectives.

The role involves establishing an AI governance framework, overseeing AI risk management, and ensuring compliance with regulatory expectations, while promoting innovation in AI deployment across the organization.

As a Staff Data Scientist at Preply, you will lead data strategy for key product domains, driving decision-making through deep analytical investigations, experimentation programs, and collaboration with senior leaders to optimize business outcomes.

The Data Engineer Lead will oversee a team of Senior Data Engineers, shape engineering standards, and deliver high-quality data solutions using Azure technologies.

As a Senior Software Engineer on the Data Sync Engine team, you'll design and implement platform capabilities, contribute to a Haskell-based sync engine, build scalable infrastructure, and develop monitoring tools while collaborating across teams in a high-trust environment.

The Data Mentor provides technical support and feedback to apprentices, ensuring high standards in teaching, learning, assessment, and learner progression monitoring.

The Software Architect will analyze existing systems, define architectural solutions, build secure cloud-based solutions, and enable better data interaction for customers.

The Finance Systems Data Analyst supports the Finance organization by ensuring data accuracy across SAP and Snowflake, optimizes data flows, automates reporting, and enhances financial decision-making.