Top Data Jobs in London

The Senior Data Manager will oversee clinical trial data management, collaborating with product teams and ensuring high-quality data processes across multiple trials.

As a Senior Staff Data Engineer, you will lead data engineering practices, establish best practices, mentor teams, and design secure data solutions. Collaboration with various teams is essential to align on goals and ensure compliance with data regulations.

The Technical Consultant will manage data migrations and provide technical consultancy to ensure successful software implementations for local government clients, enhancing customer satisfaction and service quality.

The Senior Data Analyst will manage A/B testing cycles, analyze complex datasets, translate insights into actionable recommendations, and collaborate with teams to enhance game performance.

Design and deploy generative AI solutions, collaborate with experts, and drive scalability of offerings using LLMs for industrial customers.

The Data Analyst will manage customer accounts, conduct data investigations, develop machine learning models, prevent fraud, and work with various teams to enhance customer support.

The Senior Applied Data Scientist will lead complex data science projects, apply various techniques to solve business problems, work with large datasets, and communicate insights effectively.

The Senior Data Platform Engineer will lead support for enterprise data platforms, manage incidents, drive improvements, and mentor. Responsibilities include data administration, compliance, documentation, and project management in a client-focused environment.

The Product Manager for Clarus Data is responsible for leading product strategy, managing customer relationships, and coordinating project enhancements while engaging with development teams.

The Senior Data Engineer will build and maintain data pipelines, collaborate with various stakeholders, and ensure data quality for health research.

The Technical Program Manager will oversee human data annotation initiatives, collaborating with research and engineering teams to enhance AI coding capabilities. The role involves managing project scopes, timelines, vendor relations, and driving quality audits for data usability.

Design, build, and optimize data pipelines for analysis and machine learning. Collaborate on data infrastructure, ensure data quality, and support model deployment.

Lead a team of Forward Deployed Data Scientists to drive AI adoption and data-driven solutions for strategic customers, enhancing support operations.

The Data Scientist will analyze marketing data for B2B growth, develop dashboards, and translate data insights into marketing strategies.

The Staff Data Scientist will develop and deploy machine learning models, enhance automation, conduct experimentation, and lead collaborative efforts to drive business value across teams.

The role involves building and implementing machine learning models, collaborating with cross-functional teams to solve complex problems in data science.

The Data Engineer will enhance data architecture, support data pipelines, and collaborate with business users, ensuring data quality and efficient processes.

As a Legal Counsel at Appinio, you will ensure data protection compliance, manage legal risks, advise on privacy laws, and facilitate contracting processes, supporting the company's growth sustainably.

The Lead Data Scientist will oversee the data science lifecycle, develop machine learning models, collaborate with teams, and support the evolution of the data science function at Swap.

Lead and mentor data teams, define data strategy, oversee data infrastructure development, drive AI/ML innovations, and ensure data governance.

Lead and manage the Data Engineering team, overseeing data platform architecture, data models, and ensuring data governance for informed decision-making.

The Global Client Manager at NTT DATA builds and nurtures client relationships, ensures satisfaction, drives sales growth, and implements account strategies using tools like Salesforce.com.

The Staff Data Engineer will create a scalable data platform, implement data strategy, improve operational practices, and collaborate across teams.

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

The Senior Data Engineer will own and architect the telemetry ecosystem, ensuring data quality and collaborating with product teams to drive insights.