Top Data Jobs in London

The Senior Manager, Data Sciences role focuses on developing novel computational methods and predictive models from complex clinical data to drive drug development insights.

Lead data science initiatives, providing strategic direction and methodological guidance across drug development programs while mentoring a team and applying advanced analytics methods.

The PMO Lead oversees programme governance and assurance for technology transformations, focusing on data centre exit and cloud migrations, managing resources, and financial controls.

The Senior Product Owner will manage the product strategy and backlog for Finance Data, prioritize project demands, ensure quality governance, and collaborate across teams to deliver trusted data products.

The Lead Data Engineer designs and oversees the development of data platforms, mentors team members, and ensures the delivery of high-performance, scalable data solutions.

The Lead/Staff Data Analyst will define analytics strategies, mentor product squad Data Analysts, and lead cross-functional projects to drive data-informed decisions across the company.

As a Data Analyst, you'll analyze data, build dashboards, identify trends, support decision-making, and contribute to modeling and experimentation in a fintech setting.

The role involves developing data pipelines, managing metadata and data quality in Azure, ensuring compliance with data governance standards, and collaborating with data teams.

Data Scientists at QuantCo will analyze data, build machine learning models, and communicate results to stakeholders, aiming for impactful solutions.

The Senior Data Analytics Engineer will develop automated reporting solutions, analyze data across business functions, and enhance data quality. Collaboration with internal teams to drive self-service analytics and establish reporting standards is essential.

The role involves developing and maintaining the Enterprise Data Warehouse, optimizing queries, and supporting data analysis and business intelligence activities.

The Senior Site Reliability Engineer will design and maintain a reliable data platform, develop data pipelines, automate processes, and ensure system observability while collaborating across teams.

The Data Scientist will analyze conversational data to provide insights, enhance AI capabilities, and deliver value for Fortune 500 clients.

The Senior Director is responsible for integrating Vantage's three Product systems and leading transformation initiatives to improve operational effectiveness across the organization.

The Senior Data Architect will design and scale a unified data ecosystem, lead Lakehouse architecture, ensure data consistency, and drive insights across the business.

The role involves owning and maintaining data pipelines, ensuring data reliability, and collaborating with teams to build new data pipelines for optimization and personalization.

The Senior Data Engineer will manage and optimize data pipelines, collaborate with various teams to ensure data availability and usability, and create tailored solutions for personalized healthcare experiences.

Design and implement AI-powered internal tools for GTM use cases, managing full lifecycle from data modeling to production. Collaborate closely with GTM teams to translate data into actionable insights with a focus on measurable business impact.

Lead pre-sales activities at Datatonic, shaping data and AI solutions, architecting transformations, and advising clients across various industries. Build trust with C-suite, manage RFPs, and represent the company in strategic engagements.

Design and build data systems for a web platform and factory operations, ensuring data architecture is clean, monitored, and resilient while optimizing cost and performance.

The Expert Partner leads client engagements, develops relationships, manages teams, drives innovation in Data and AI consulting, and achieves financial objectives.

Support senior architects to design and document scalable, secure data architectures. Translate business requirements into data models, define data flows and integration patterns, support Agile delivery teams, ensure governance and security considerations, and contribute to data engineering and automation while developing architectural skills.

As VP of Engineering and Data, you'll lead a growing engineering team, oversee AI initiatives, grow the data function, and ensure alignment with product and business outcomes.

Lead the development of machine learning models to predict delivery risks, integrate insights into dashboards, and collaborate with stakeholders for data-driven decision making.

As a Workday Data Lead, you will guide organizations in HR process transformation using Workday. You'll manage data migration, host workshops, and ensure effective communication with stakeholders, helping clients maximize their Workday investment through integrated solutions.