Top Data Jobs in London

Responsible for designing and maintaining data pipelines, collaborating with teams for data quality, and developing engineering solutions using various tools and technologies.

Manage and transform data assets, develop ACR data strategy, ensure data governance, oversee data product management, and lead a product management team.

The Senior Data Engineer will develop API strategies, build data pipelines, enhance data quality, and influence technical direction for the data platform.

Develop and evaluate intelligent autonomous AI agents for B2B analytics, focusing on data exploration, task execution, and multi-agent ecosystems.

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.

As a Senior Data Analyst at Moss, you'll analyze customer data to drive insights for retention and engagement, build dashboards, ensure data accuracy, and collaborate across departments for strategic alignment.

Client-facing data scientist who leads enterprise deployments of Nory's AI platform: validates models, runs analyses, builds SQL/dbt pipelines, prototypes with Python, drives adoption across multi-site estates, and translates deployment learnings into product and ML improvements to deliver measurable operational and financial outcomes.

Lead adoption of SRE practices firm-wide, implement and maintain observability tooling, automate operations, manage incident response and on-call rotations, provide performance insights and instrumentation, drive reliability standards, and collaborate on postmortems and continuous improvement.

Lead a team of data scientists to innovate in experimentation and causal inference, enhancing decision-making and product strategies through evidence-based methodologies.

Own and migrate Payment Lifecycle business logic from dbt/SQL into Flink streaming jobs, operate and monitor pipelines (Datadog), deploy via ArgoCD/Terraform, use Apache Iceberg and Kafka for state/lookups, and ensure robust, low-latency, domain-owned data products.

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.

As a Senior Web Data Scientist, you'll work with web leads, measure outcomes, implement A/B testing, and mentor junior staff to enhance product strategies and lead volumes.

Lead Levi's digital analytics strategy for web and app, deliver end-to-end insights, design and evaluate A/B and multivariate experiments, build segmentation and predictive models, partner with senior stakeholders, promote data culture, and shape the long-term vision and resourcing for the Digital Analytics team.

Lead development and deployment of machine learning and statistical models using Python, SQL and PySpark to deliver scalable, client-facing analytics solutions for Tesco Insurance & Money Services, collaborating with stakeholders to turn data into measurable customer outcomes.

As a Data Manager, you will ensure data governance, support data accessibility, improve workflows, and develop data policies while collaborating with various teams.

Lead the Luna data team as a technical practice lead, focusing on migrating data from Redshift to AWS RDS while mentoring team members in Python and DataOps practices.

The Finance Data Management Lead will manage an enterprise-wide data governance program, ensuring data accuracy, consistency, security, and compliance. This role involves defining strategies, managing data quality and security, and collaborating across global teams to support business objectives.

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

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

As a Lead Data Scientist, you will design and deliver advanced AI solutions, mentor team members, and ensure responsible AI practices while driving innovation and collaboration across projects.

Perform full data entry and processing at box and file level. Handle physical records (including heavy lifting and dusty conditions), meet accuracy and throughput targets, and collaborate with the team.

Lead teams in foundational AI research, focusing on ML and NLP development. Innovate and share technical findings in AI model training, collaborating with global experts.

As a Data Scientist, you will train, deploy, debug, and evaluate fraud detection models, collaborating with teams to enhance and maintain them.

Design, develop, and maintain scalable data architectures and ETL pipelines, integrating internal and third-party data while optimizing performance and security compliance.

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.