Top Data Jobs in London

Lead the development of AI infrastructure and frameworks, managing data readiness and orchestrating agents for commercial insights and automation.

The Senior Data Analyst will optimize data processes, develop dashboards, deliver insights, and collaborate with stakeholders to enhance data governance and analytics capabilities.

The Principal Data Scientist will lead the development of AI-native systems and work cross-functionally to enhance consulting solutions in the energy and natural resources sector, focusing on advanced modelling and client engagement.

The Senior Data Scientist will lead AI-native capabilities development, build machine learning models, and collaborate across teams for advanced analytics supporting energy market strategies.

Lead high-complexity analytics projects: partner with stakeholders, prepare and blend large datasets, apply intermediate statistics, build models and visualizations, deliver insights, and mentor junior analysts.

As a Senior Data Engineer, you will design, develop, and maintain scalable data pipelines, ensuring data quality and integration to support business requirements.

The Director of Data Partnerships at StackAdapt develops product strategies, manages key partner relationships, and oversees operational processes to enhance data solutions. Responsibilities include collaborating with various teams, improving partner efficiency, and driving market intelligence for targeted advertising across EMEA markets.

As a Senior Data Analyst, you will analyze data, provide actionable insights, build reports, and support decision-making across departments.

As a Senior Data Analyst, you will analyze data, build reports, support marketing efforts, and communicate insights to stakeholders.

As a Graduate Data Analyst, you will analyze data, provide insights, create reports, and support various teams in making data-driven decisions.

As a Senior Data Scientist, you will lead data-driven initiatives, mentor team members, and contribute to cutting-edge AI/ML solutions for the fintech space.

Lead a senior engineering team to design, build, and run the Customer MDM platform. Manage integrations, ensure data quality, and collaborate with stakeholders to enhance customer data capabilities.

The role involves guiding the Data Science team to develop search and recommendation systems, working with commercial teams to deliver user-focused products, and managing multiple projects related to data science implementation.

The Senior Data Scientist will develop predictive models and analytical tools for pricing, enhance data assets, and work with stakeholders to deliver innovative solutions.

The Senior Data Engineer will develop and manage data pipelines and models, enhance engineering efficiency, and mentor junior engineers while supporting various partner teams.

The Data Privacy Specialist ensures privacy compliance, manages data protection operations, collaborates with various teams, and improves privacy processes.

The Data Science Director will lead a team in developing predictive models, optimizing media investments using AI/ML techniques, and improving analytical solutions for clients.

Develop and implement AI and machine learning models to enhance credit decisioning and affordability assessments, analyzing Open Banking data for insights.

Lead data and AI strategy, assess feasibility and ROI, design architectures and operating models, implement governance and upskilling, perform hands-on data analysis, and advise C-suite clients on scalable AI solutions.

The Credit Data Analyst will analyze and interpret lending data to support credit decision-making and portfolio management. Responsibilities include building reports, identifying risks, collaborating with teams, and ensuring compliance with guidelines.

Lead the Hotel Optimization team, design data-driven models, drive revenue opportunities, and automate processes through advanced analytics and programming.

Join Zencore as a Senior Data Engineer, leveraging Google Cloud expertise and technology strategies to assist clients with data and application modernization.

The Data Engineer will develop data infrastructure, build data pipelines, implement workflows, and collaborate with teams to enhance data analytics capabilities.

The Data Scientist supports customer use of the Epistemix platform through data integration, modeling, and visualization, improving decision-making and customer satisfaction.

The Senior Data Engineer will enhance backend systems for a social media app by managing databases, optimizing recommendation algorithms, and ensuring accurate recommendations.