Top Data Jobs in London

Lead presales cloud architecture for hybrid infrastructure: design solutions, produce bid responses, cost models and BOMs, run workshops, present to customers, advise on Azure governance, DevOps, containers/AKS, AI/data and support the Cloud & Infrastructure practice.

Lead and manage a team of Commercial Account Executives, optimizing sales processes, driving revenue growth, and collaborating with cross-functional teams to enhance customer relationships.

The role involves supporting customer engagements, optimizing processes, and leveraging software and data to improve business performance in Life Sciences Consulting.

The Senior Commercial Counsel will draft, negotiate, and close SaaS agreements, guide commercial strategy, and provide legal advice on international deals, focusing on risk management and business empowerment.

Lead complex, high-impact transformation initiatives at Conde Nast, ensuring alignment between product, engineering, and business for successful execution.

The Client Partner will manage and grow strategic client relationships, primarily in the public sector, and drive account growth through strategic business development and client satisfaction.

Lead Solution Engineer for Financial Services (Banking, Insurance, Wealth) who owns presales solution design and delivery. Develop and present Salesforce and partner solutions (including Financial Services Cloud), translate regulatory and business needs into roadmaps, lead cross-functional solution cycles, support sales and marketing events, and drive continuous improvement while building customer and partner relationships.

Own the Data Foundry product strategy and roadmap, balancing infrastructure and commercial data-as-a-service. Partner with CRM and Workforce Suite PMs, data science, and engineering to define data contracts, prioritize delivery, ensure governance/security, and drive adoption and GTM for MCP/API channels. Measure success via usage, value, and commercial metrics.

Analyze marketing campaign performance, provide insights on acquisition, LTV, attribution, engagement and retention; support segmentation and targeting; run A/B tests; build automated data pipelines and dashboards; collaborate with product, engineering and marketing teams and act as the data point of contact for marketing.

As a Senior Data Engineer, you'll build and manage data pipelines, ensure data quality, and collaborate across teams, contributing to the Data Platform's growth.

Lead the architecture and development of a cutting-edge data platform, focusing on data pipelines, analytics, and AI integration while mentoring engineers and collaborating cross-functionally.

Build, evaluate, and deploy machine learning and statistical models across credit risk, fraud, customer engagement, and operations. Partner with stakeholders to define problems and metrics, perform feature engineering and analysis, implement reproducible production pipelines, monitor model performance, and ensure governance, documentation, and regulatory alignment. Communicate results, design experiments, and support continuous improvement of data science practices.

The Product Specialist will support the product lifecycle, assist in developing roadmaps, collaborate with stakeholders, and contribute to Agile ceremonies.

The Associate Sales Director develops sales strategies and leads a team to enhance business growth in environmental data sales, focusing on client relationships and proposals.

Lead the development of a statistical metric engine converting noisy computer-vision outputs into trustworthy waste metrics. Own contracted client analytics and reports, ensure on-time high-quality delivery, document repeatable methodology and quality standards, sync delivery with R&D, and manage one direct report while supporting scale-up of data processes.

The Data Engineer will build and maintain data pipelines, ensuring quality and performance while collaborating with teams to support platform evolution and product delivery.

The Senior HR Generalist will manage employee relations, support performance initiatives, improve HR processes across multiple European countries, and ensure compliance with local laws.

Design, build and scale production data pipelines and analytics-ready models on AWS and Snowflake using dbt. Lead data platform architecture, ensure reliability, implement CI/CD and testing, mentor engineers, and embed governance, observability and security practices.

Serve as a trusted HR advisor and coach to Technology, Data, and Product leaders; line-manage and develop a People Partner; drive organisational effectiveness using people data; partner with People centres of expertise to deliver performance, compensation, leadership and DEI initiatives; support cross-functional People projects in a fast-scaling, office-first environment.

As a Senior Data Scientist, you will optimize marketing performance, develop machine learning models, analyze A/B tests, and collaborate closely with marketing and data engineering teams.

The Senior Data Scientist will optimize marketing campaigns using data solutions, machine learning models, and collaboration with performance marketing teams to enhance business strategies at Preply.

As a Senior Data Analyst, you will analyze data, provide actionable insights, build reports, and support decision-making across departments.

Lead data analysis and modeling efforts, managing large datasets, and translating insights into actionable business knowledge while providing analytical thought leadership.

Lead data migration, validation, and optimisation for Workday Financials implementations. Design and use Workday load tools, map and transform financial data, develop ETL and reconciliation processes, validate loads, support tenant migrations, engage stakeholders, and contribute to training and knowledge sharing.

The Engagement Programme Specialist will manage relationships between sales teams and drive revenue growth, oversee training and sales enablement initiatives, and provide reports on performance.