Top Data Jobs in London

The Associate Strategy Director will lead strategic solutions for clients, focusing on digital products and brand-building initiatives. Responsibilities include conducting research, creating strategies, collaborating with teams, and mentoring junior strategists.

As a Data Engineer, you will design, implement data infrastructure, develop pipelines, and ensure data integration across multiple sources while maintaining communication with stakeholders.

Design and build scalable data pipelines, support analytics and reporting, ensure data quality, and collaborate with cross-functional teams. Mentor team members and implement best practices in data engineering.

As a Data Architect, you'll define data architecture strategies, collaborate with stakeholders, oversee architectural quality, and promote innovation and mentorship within teams.

The role involves leading client engagements on data analytics audits, providing subject matter expertise, managing client relationships, and driving business development efforts.

The Data Quality Analyst will monitor data quality, identify and resolve issues, improve processes, and ensure compliance with standards, particularly in financial contexts.

The intern will support data analytics within the Agile Program Management Office by researching AI tools, documenting data pipelines, and analyzing Power BI reports.

The Electrical Shift Engineer oversees MEP assets in critical facilities, ensuring maintenance, operations, reporting, and compliance with safety standards. Responsible for operational integrity and effective service delivery through collaboration and technical expertise.

The Data Science Summer Internship involves building data pipelines, conducting data analysis, applying machine learning models, and creating visual reports using tools like Databricks and Snowflake.

Join Checkout.com as a Graduate Data Analytics, gaining hands-on experience in the analytics lifecycle, building data models, and collaborating across teams to generate insights. The role involves technical training and mentorship to foster growth in fintech and analytics.

Lead the application of data science and modeling techniques to enhance pricing and predictive modeling capabilities in the insurance sector, collaborating closely with stakeholders and delivering actionable insights.

The Senior Data Engineer will own and scale core data infrastructure, stabilizing data ingestion, improving observability, and enabling advanced analytics and machine learning capabilities.

Lead healthcare data science projects, applying machine learning and statistical analysis to improve health outcomes and operational efficiency.

As a Junior Data Engineer at Bionic, you will build and maintain data pipelines, collaborate with teams, and ensure data quality while learning modern engineering best practices.

Manage the Finance delivery workstream for SAP S/4HANA transformations, ensuring compliance, integration, and alignment with programme objectives while mentoring teams.

The Data Reliability Engineer will handle L1 support for data issues, ensure data quality, and maintain data pipelines, working closely with traders and vendors to ensure robust operational performance.

The role involves enhancing data use in risk management, collaborating on AI risk governance, and supporting risk reporting and assessments.

The Principal Product Manager for Data Innovation will define and execute product strategies for synthetic data and collaboration products, driving business KPIs and collaborating with cross-functional teams.

As a Data Scientist, you will develop machine learning models to predict customer behaviour, report on model status, and prioritize model development while educating the team on data science value.

Lead analytical projects, translate client briefs, apply data science techniques, and communicate insights to stakeholders while collaborating with analysts.

Develop and support reusable Python packages for data science solutions, build processes and tools, and work with machine learning techniques.

As a Data Scientist in the GenAI CoE, you'll design experiments, build GenAI systems, and analyze results. This hybrid role emphasizes collaboration and innovation, focusing on improving AI solutions and processes.

As a Senior Principal Data Scientist, you will lead data science initiatives in neuroscience, employing advanced analytical methods and collaborating with various teams to support drug development and clinical trials through effective data utilization and presentation.

Lead the month-end close process, provide accounting expertise, ensure compliance with standards, manage a diverse team, and drive process improvements.

The Senior Data Scientist will lead analytical projects, mentor juniors, and apply data science and machine learning to enhance decision-making in insurance processes.