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.

The Payments Data Analyst will manage the payments data lifecycle, delivering insights to enhance performance, support commercial decisions, and facilitate partnerships across teams while ensuring data quality and accessibility through analytics tools.

Lead the marketing data strategy, optimize acquisition spend, design data models, partner with teams for data-driven solutions, and maintain data quality.

The Senior Sales Manager will drive sales of Samba's programmatic advertising solutions, manage client relationships, and exceed sales quotas while collaborating with internal teams to ensure campaign success.

The Product Lead will drive the roadmap and vision for Wolt's payments infrastructure, collaborating with cross-functional teams to deliver scalable financial systems.

As a Senior Data Scientist, you will lead high-complexity projects, develop ML and NLP solutions, and collaborate across teams to drive business impact through statistical modeling and data analysis.

Lead data strategy for the Credit Product team, manage data models, collaborate with stakeholders, and maintain high data quality in a fast-paced environment.

The Senior Analyst, Data Solutions develops SQL queries and data pipelines, partners with auditors to enhance audit effectiveness, and delivers data insights while ensuring compliance with security and regulatory standards.

The Senior Manager will oversee the development of large-scale partnerships, driving revenue growth and managing the complete sales cycle within Expedia's B2B division.

Lead the strategy and growth of the Data Practice at Capco, managing multidisciplinary teams and delivering high-impact analytics projects in Financial Services.

As a Commercial Strategy Lead, you will shape and drive commercial strategies, develop go-to-market approaches, and lead cross-functional initiatives to unlock new growth opportunities.

The VP, Head of Product Marketing will lead product narrative development, team building, and growth strategies in the energy sector, utilizing AI and analytics.

Responsible for managing strategic partnerships with technology vendors, coordinating internal resources, and driving ecosystem initiatives for AI Factories. Oversees partner engagements and relationship building to support business goals and compliance requirements.

The Data Science Lead will develop AML detection systems using machine learning, manage a team, and optimize decision-making processes.

The Data Governance Specialist will ensure data quality and consistency across Customer Care, defining standards, managing data hierarchies, and collaborating with analytics teams to enforce governance and automate workflows.

As a Senior Azure Data Engineer, you'll design and deploy data engineering pipelines using Databricks on Azure, collaborate with clients, and implement best practices in a consulting environment.

Lead architecture and delivery of data solutions on Databricks within Azure, ensuring best practices in data pipeline design and implementation.

The role involves designing and building data pipelines using AWS technologies, leading projects, and mentoring junior engineers in a data engineering context for financial services.

The Sales Manager will sell data platforms to healthcare customers, manage relationships, and develop new business opportunities in the UK.

Join a team to design and build scalable data pipelines on GCP for financial institutions, ensuring governance and compliance while collaborating on data solutions.

Design and build cloud-based data pipelines using AWS tools, collaborate with clients, ensure data governance, and mentor junior engineers.

The Principal Data Engineer will design and build scalable data pipelines, collaborate with clients on solutions, and mentor junior engineers in a hybrid environment.

The Product Associate will support product development and sales enablement, enhance client analytics, automate data requests using AI, and collaborate across teams to drive product usage in data and analytics.

The Fraud Analyst role focuses on investigating fraud cases, collaborating with teams to improve fraud detection, and refining operational processes while ensuring data quality and participant experience.

Oversee Preqin's Fund Manager data team ensuring high-quality data collection, improve data lifecycle processes, and develop a high-performing team aligned with client needs.