Top Data Jobs in London

Lead and mentor a multidisciplinary team to build and scale reconciliation systems, ensuring data accuracy and reliability across payment ecosystems.

As a Data Scientist at Wave, you will optimize user initiatives, perform advanced analytics, and develop machine learning solutions to enhance user engagement and business impact.

The Associate Director will manage media data projects for Nike, leading teams and driving efficiencies through data analysis and insights.

The Data Engineer will manage pipelines, integrate bioinformatics data, develop ETL workflows, enhance data governance, and promote data usability for non-technical users.

As a Senior Data Platform Engineer, you will lead complex incident management, influence architecture solutions, and provide ongoing support for enterprise data platforms while mentoring the team and ensuring service delivery excellence.

The RWD Scientist generates insights from real-world data to inform clinical development and regulatory strategies. Responsibilities include designing observational studies, data cleaning, performing feasibility assessments, and supporting knowledge sharing in RWD methodology.

The Data Steward ensures clinical and operational data is documented, accessible, and trustworthy through data standards and governance practices, contributing to enhanced data-driven decision-making in drug development.

The Data Strategy & Analytics Specialist designs and executes data strategies and analyses to support decision-making and insight generation in Roche's Product Development. This role involves collaborating with teams to align strategies with goals, assist in data integration, and contribute to analytic executions using diverse data sources.

The Data Scientist develops scalable tools and workflows for efficient statistical computing, enhances automation, and supports decision-making in clinical development. Responsibilities include coding, data analysis, and collaboration with multidisciplinary teams.

The Data Operations Associate will manage outreach campaigns, ensure data accuracy, collaborate across teams, and support PitchBook's data quality initiatives.

As a Data Operations Associate, you will enhance PitchBook's private market database by gathering, verifying data and driving outreach strategies, while collaborating with team members to improve methodologies.

Guide clients through Workday HCM data transformations and implementations, utilizing various Workday tools for data migration, validation, and client support.

Responsible for analyzing large datasets, creating models, identifying themes, and developing Value Insight Packages to drive business improvements.

The Lead AWS Software Data Engineer will design and develop scalable data pipelines using Python and AWS tools, collaborate with business teams, and enhance data quality and observability while applying modern software engineering practices.

The Business Manager will support and coordinate projects, prepare materials for leadership, and conduct research to aid business development. Responsibilities include managing timelines, consolidating data, preparing reports, and providing administrative support.

The Data & Insights Analyst will provide analytical expertise to support Go-To-Market initiatives, optimize business models, and facilitate strategic decision-making through data-driven insights.

The role involves leading generative AI solutions, collaborating with clients, developing NLP applications, and contributing to AI methodologies at Ascent.

Lead the Data Conversion workstream, coaching junior consultants and managing Workday project delivery while ensuring client satisfaction and internal growth.

Develop machine learning models, feature engineering, validate performance, and generate actionable insights while collaborating across teams.

The Data Architect will design data architecture, establish standards, optimize performance, and collaborate with engineering teams to enable AI/ML and analytics at scale across various platforms.

Lead the Data Integrations domain, focusing on data connectors lifecycle and evolving the data integration platform. Ensure reliability and continuous improvement of connectors for enterprise customers.

The Senior Data Engineer will design scalable systems, automate ML operations, optimize performance, and enhance infrastructure for data processing and monitoring.

The Senior Data Analyst will collaborate with Ops teams to optimize processes, monitor metrics, develop dashboards, and communicate findings effectively.

As a Growth Data Analyst, you'll analyze product performance, customer behavior, and trends, creating insights to inform product strategy and improve customer journeys.

Lead the data strategy and analytics team, ensuring data-driven solutions across the organization, while mentoring a skilled team and fostering a data culture.