Top Data Jobs in London

Design, build, and maintain petabyte-scale batch and streaming data pipelines for robotics foundation model training and evaluation. Own data models, storage, ingestion, transformation, and orchestration. Standardize data models and unify processing across teleoperation and simulation datasets. Collaborate with a team building general-purpose Physical AI.

The role involves designing and evolving Ipsen's Data & AI platforms architecture, ensuring optimal use of the platform, and collaborating with project teams. Key responsibilities include defining architectures, promoting best practices, and contributing to the platform roadmap while aligning with stakeholders.

Own pricing and packaging analytics: build unit-economics, willingness-to-pay, and price-sensitivity models; design and run pricing experiments; operationalize pricing systems (eg. personalized discounting); and partner with finance, product, and growth to sequence and ship revenue-impacting changes.

Own the full growth funnel—from acquisition to expansion—identify high-leverage opportunities, design and run experiments, build instrumentation and agents to surface growth signals, and work closely with growth engineers to ship experiments that move metrics and drive measurable product growth.

Manage curriculum development for data science and engineering, collaborate with instructors, create content, and drive improvements based on learner feedback.

As a Curriculum Manager, you will manage content development for the data science and engineering curriculum, collaborating with instructors and teams to enhance learning experiences.

Build and productionize ML systems for personalization, search, and recommendations. Apply statistical and ML models using Python and SQL, collaborate with stakeholders, and measure business impact across cloud environments.

Own and improve Primer's GTM intelligence: maintain dashboards and semantic models, train BI/LLM models (Omni/Claude), surface pipeline/account signals, ensure correct Salesforce modeling, build revenue-driving models and GTM AI workflows, partner with data engineering and RevOps, drive adoption, and promote self-serve data literacy.

Collect, clean, and transform large datasets; build and maintain data models and reports (using Snowflake and BI tools); perform statistical and machine-learning analyses; define KPIs; ensure data governance and accuracy; present insights to stakeholders; collaborate with data engineers and follow software development best practices.

Lead data operations and governance for influencer campaigns: manage complex campaign configurations, ensure data quality and naming conventions, troubleshoot issues, build custom BI queries/dashboards, improve processes, support proprietary platform (IBEX), and mentor junior team members.

Lead data operations and governance for influencer campaigns: manage complex campaign configurations, ensure data quality, troubleshoot issues, build and customize BI dashboards, optimise workflows, and mentor junior team members while supporting proprietary analytics platforms.

Senior, client-facing role leading Data & Analytics value-creation work across the UK and Europe. Advise PE sponsors, CFOs and portfolio teams to translate business problems into KPI-driven analytics, operating models and commercial insight. Lead delivery teams, ensure quality, support business development, and travel extensively across Europe to run workshops, readouts and engagements.

The Associate Data Scientist will work on developing and optimizing machine learning models, collaborating with teams to tackle pricing and matching challenges.

Lead the data platform's technical strategy and architecture, design analytics/semantic/AI data layers, set modelling and reliability standards, drive observability and data quality, mentor senior engineers, and coordinate cross-team modernization and incident response.

Build and maintain production-grade data pipelines, design data models and infrastructure, enable API access, govern data assets, and collaborate with actuaries, data scientists, and engineers to support algorithmic underwriting and MLOps.

Lead hands-on design and delivery of scalable, secure cloud data and analytics platforms with ML/Agentic AI capabilities. Translate enterprise strategy into architecture, set engineering standards, guide multiple teams, and drive CI/CD, IaC, testing, and security-driven practices to deliver data, BI, streaming, and integration solutions.

Lead assessment of Turnitin's reporting and analytics landscape, define governance, ownership and metric standards, produce a target-state architecture and pragmatic roadmap, and align executive and business stakeholders to improve confidence in enterprise reporting.

Define and build quality frameworks for human data programs, partner with clients and engineering to design evaluation, recruitment and annotation strategies, implement automated checks and dashboards, investigate data integrity, and upskill teams to deliver high-quality human data at scale.

Lead multi-skilled agile teams to design, build and productionise modern data solutions. Own technical architecture, collaborate with infrastructure and customer architects, define functional and non-functional designs, mentor staff, estimate delivery timelines, contribute to data community and support pre-sales technical solutioning.

The Graduate Data Scientist will support data advisory engagements by documenting data processes, constructing architecture diagrams, and communicating strategies to stakeholders. They will utilize databases, SQL, and cloud platforms.

Lead advanced statistical and machine learning analyses to generate actionable business insights; partner with cross-functional teams to design data-driven solutions; manage large datasets with strong governance; develop and maintain predictive models to forecast trends; communicate findings to stakeholders and stay current on industry technologies.

Senior advisory role to define and scale CPG data foundations: shape multi-year roadmaps, prioritise platform capabilities, guide data acquisition/harmonisation and governance, engage executive stakeholders, and translate complex data/architecture decisions into commercial outcomes.

Build and validate production-grade ML and AI systems across pricing, underwriting, claims, and portfolio management. Work with structured and unstructured data, LLMs and agentic workflows, extract information from documents, resolve entities, create feature pipelines and inference services, quantify uncertainty, monitor drift, and measure business impact in collaboration with engineers, actuaries, underwriters, and product teams.

Hunt and close net-new enterprise accounts across the UK for a data/AI infrastructure platform. Own full sales cycle from pipeline generation to close, engage technical and economic buyers, partner with pre-sales and channel, manage forecasting and deal negotiations, and represent VAST at industry events.

Lead the development and architecture of new data services and products around clinical insights, focusing on data analysis and reporting.