Top Data Jobs in London

Data Scientists at G-Research analyze financial datasets, applying mathematical concepts and programming skills to enhance the research platform and collaborate with teams.

The Principal Data Scientist will lead complex projects, drive innovation in AI solutions, mentor teams, and influence data science strategy.

Design and implement real-time market data systems, drive technical innovation, provide leadership, and optimize processing workflows.

As a Data Engineer at Starling, you will build cloud-native data warehouses and ML platforms, improving tooling within AWS and GCP.

The role involves creating and managing data assets, building data pipelines, ensuring data quality, and providing technical leadership for product teams.

The Account Executive generates revenue from IP transit services sales, engages prospects, prepares proposals, and maintains client relationships, achieving designated sales targets.

Lead the design and architecture of data solutions, provide technical leadership, and mentor teams while ensuring compliance with data governance and quality standards.

The Data Implementation Analyst will gather data requirements, implement analytics processes, maintain data infrastructure, ensure data accuracy, support product feature tracking, and collaborate across teams to optimize data collection and reporting.

Lead the data strategy and governance, ensuring data-driven decision-making. Oversee analytics, team development, and technology infrastructure to drive business outcomes.

The Cricket Data Operations Manager oversees data collection processes, develops data collection tools, ensures data quality, and trains staff.

Assist in designing data strategies, supporting campaigns, and building relationships while managing a team and ensuring high client service levels.

The Data Scientist II role involves designing performance metrics, creating data pipelines, conducting experiments, and delivering data-driven insights to support decision-making across SAFE studios.

The role involves applying advanced statistical methodologies and data science techniques to support clinical trial design, conducting consultations, developing prototypes, and leading training sessions on statistical methods.

The RWD Head - TA Lead Neurology develops evidence generation strategies using real-world data to improve decision-making and clinical program designs. This role involves overseeing a team, building relationships with senior leaders, and ensuring RWD's integration across functions.

The Director oversees digital transformation initiatives, driving strategy, implementation, and adoption of technologies to enhance business efficiency and customer experience.

The Data Scientist will develop and manage AI-driven solutions using LLMs, analyze production data, and collaborate across teams to improve AI practices.

Interns will work on large-scale cloud-native data systems, collaborate with engineers, and gain practical experience in autonomous vehicle data infrastructure.

As a Senior Research Data Scientist, you will translate complex business problems into data science problems using AI algorithms, working with statistical methodologies and machine learning techniques to develop scalable solutions.

The Data Accuracy Specialist is responsible for evaluating and rating data quality, performing data analysis, testing, and validation, while providing feedback and collaborating with the data team.

Seeking a Senior Data Analyst to enhance data analytics across business teams, including data modeling, reporting, and mentorship while ensuring data quality and collaboration across departments.

Lead improvements in web data pipelines by investigating performance issues, developing metrics, and collaborating with teams to enhance data quality.

The Staff Software Engineer will design and implement solutions for data processing in autonomous driving, collaborate with ML engineers, and mentor team members, focusing on data diversity and technical excellence.

The Global Data Excellence Lead will oversee data governance and provisioning across teams, partner with Amazon's data leads, and ensure compliant management of campaign data for effective media reporting.

The role involves managing data quality and reporting for Unilever, including validation of media plans and monthly KPI report production. It requires attention to detail, proficiency in Excel, and strong communication skills.

The role involves leading data pipeline development, implementing reporting frameworks, and managing a team to ensure data quality and governance for marketing insights.