Top Data Jobs in London

Supports the implementation and enhancement of enterprise data governance frameworks. Partners with Data Owners and Champions to improve compliance and data quality, maintains governance assets, supports governance projects, develops KPI and risk reporting, creates training and communications materials, administers SharePoint resources, and helps train Data Owners and Stewards.

Leads complex data science and machine learning projects from technical scoping through production delivery. Sets technical direction, architects reliable solutions, manages risk and roadmaps, supports strategic sales engagements, and builds trusted client relationships. The role also establishes technical standards, mentors data scientists, coordinates cross-functional teams, and contributes to business-unit initiatives and long-term organisational growth.

Lead development of data platform integrations, APIs, and pipeline services supporting PlayStation game analytics. Own platform integrations with BI tools, internal websites, and other systems; improve scalability, resilience, quality, documentation, and self-service capabilities. Collaborate with DevOps, data and frontend engineers, and studio stakeholders while shaping technical direction and mentoring colleagues. Build services primarily in Go or Python using AWS data and serverless technologies.

Researcher on Microsoft AI’s Pretraining Data team, creating and evaluating large-scale datasets for frontier AI models. Responsibilities include designing data collection strategies, developing scalable ingestion and processing pipelines, analyzing dataset quality and diversity, building auditing and visualization tools, conducting data ablation experiments, and collaborating on privacy, ethics, safety, and responsible AI standards.

The Senior Data Scientist will collect and transform complex datasets, develop and deploy machine learning, NLP, generative AI, and agent solutions, and optimize models for accuracy, explainability, and ethical alignment. Responsibilities include building custom transformer models, monitoring production pipelines, communicating insights through visualizations and presentations, and collaborating with cross-functional teams to drive productivity, revenue, and strategic decision-making.

Build Evervault’s data platform from scratch, including real-time ingestion, event streaming, time-series modeling, customer-facing data APIs, and multi-tenant data products. Own architecture, production operations, monitoring, data quality, cost, and on-call responsibilities. The role requires migrating live systems without downtime or data loss and partnering with Product and Engineering to deliver the first external analytics or data-access product.

Leads Monzo’s Growth and Marketing data function, building and developing high-performing Data teams while shaping marketing measurement, experimentation, growth strategy, metrics, and data products. Partners with senior leadership to guide investment decisions across markets and customer segments, translate complex business challenges into technical solutions, and improve data-driven decision-making. Requires strong Data Science expertise, commercial judgment, stakeholder influence, and experience leading teams at Director level or above.

Lead regional commissioning and technical operations for mission-critical data centres. Provide technical authority, ensure safe and consistent delivery across projects, manage schedules, risks, and quality, engage clients and stakeholders, drive continuous improvement, and promote health, safety, and compliance.

Leads cost management for complex data centre developments from feasibility through completion. Responsibilities include cost planning, estimating, budgeting, procurement, tender analysis, cost reporting, valuations, post-contract cost control, change management, risk management, value engineering, final account negotiations, client relationship management, business development, and mentoring junior staff.

Own data engineering for a rapidly scaling AI-native legal platform. Build and operate production pipelines, migrate and integrate messy data from law firm systems, and establish scalable models for analytics and AI applications. Manage orchestration, infrastructure, DevOps, security, governance, and BigQuery performance. Partner with analytics and engineering teams while helping shape the company’s data function and potentially grow into team leadership.

Build scalable LLM-powered investment tools and AI workflows, including RAG, context management, data pipelines, model integrations, evaluation, and observability. Partner with investment and research teams to translate financial processes into secure enterprise solutions. Apply machine learning, statistical methods, Python, SQL, and financial-market knowledge in a regulated environment while optimizing AI quality, cost, latency, reliability, and business impact.

Develop and productionize machine learning models, optimization algorithms, and operational simulations for warehouse and last-mile planning. Lead initiatives from prototyping through deployment, monitoring, and evaluation; define statistical and business metrics; collaborate with engineers, product managers, and retail partners; and mentor data scientists. The role also involves working with large cloud datasets, building stochastic simulations, and setting technical direction for autonomous operational planning systems.

Build and deploy machine learning models, analyze complex datasets, and generate commercial insights that improve customer engagement, retention, lifetime value, and business decisions. Collaborate with data scientists, engineers, and stakeholders across Finance and global brands. Prepare structured and unstructured data, research new methods, communicate findings, and deliver end-to-end solutions from experimentation through production monitoring.

Provides independent oversight and assurance of energy isolation, medium-voltage switching, Permit-to-Work, and LOTO activities on a data centre substation construction project. Reviews isolation plans, diagrams, procedures, and contractor compliance; coordinates with operations and commissioning teams; supports high-risk activity planning, incident investigations, emergency responses, and continuous improvement. Requires extensive Senior Authorised Person experience, electrical distribution expertise, and strong data centre construction and commissioning knowledge.

Design and implement enterprise data architectures and models for a specialty insurance Azure Databricks lakehouse. Responsibilities include dimensional, Data Vault, and medallion modeling; data integration and ingestion frameworks; performance and cost optimization; governance, security, metadata, testing, and CI/CD design. The role also involves stakeholder engagement, architecture documentation, client workshops, delivery oversight, technical leadership, mentoring, and supporting solution scoping across regulated insurance environments.

Provides high-level administrative support to senior management by managing calendars, meetings, travel, correspondence, confidential records, events, and stakeholder communications. The role requires exceptional organization, discretion, communication, flexibility, and independent judgment while handling time-sensitive tasks and representing the organization professionally.

Three-year Level 6 apprenticeship developing data and decision intelligence consulting skills. The apprentice will collaborate with data engineers, scientists, analysts, and strategists to understand client needs, build data-driven solutions, learn modern technologies, participate in client meetings, document solutions, deliver training, and develop expertise in data strategy, analytics, and engineering. The role is hybrid in London and begins in September 2027.

Assess adherence to the data governance framework, recommend and implement improvements to data controls, and support sustainable governance practices. Develop and maintain data dictionaries, lineage documentation, data quality dashboards, and scorecards. Resolve data quality issues and collaborate with financial crime data and systems specialists. Use Collibra, Excel, Power BI, SQL, SAS, Python, or C# to strengthen data accuracy and support financial crime decision-making.

Lead and develop a data platform engineering team while overseeing delivery of a Snowflake-based platform migration. Own team health, recruitment, performance management, backlog prioritization, roadmap execution, stakeholder alignment, and platform KPIs. Champion self-service internal tooling, reliability, scalability, and developer experience. Mentor engineers and help employees build safe, maintainable AI solutions and automated systems.

Design and own scalable data architecture and integration solutions across the Adobe Experience Platform ecosystem. Translate business requirements into technical designs, data flows, roadmaps, and implementation priorities. Lead integrations, governance, security, privacy, monitoring, and platform stability while guiding engineering teams, vendors, and Adobe specialists. Resolve complex platform issues, assess architecture trade-offs, and ensure solutions support customer data ingestion, transformation, identity, activation, marketing journeys, digital experiences, and analytics.

Own the roadmap, evaluation standards, data strategy, release decisions, and long-term direction for Niantic Spatial’s Large Geospatial Model. Translate customer needs into research requirements, define model acceptance criteria using real-world ground truth, oversee data acquisition and governance, and turn new model capabilities into commercial products. Partner with research, engineering, legal, business development, and customer-facing teams across industrial, defense, robotics, and platform markets.

Leads full-cycle sales of Data and AI solutions, including data readiness assessments, modern data platforms, governance, analytics, and applied AI. Builds pipeline, develops customer relationships, manages proposals and negotiations, closes deals, and achieves revenue targets. Partners with Microsoft and other vendors, account teams, solution architects, and delivery teams to create transformation roadmaps and co-sell opportunities. Serves as a Data and AI subject matter expert while translating technical concepts into commercial value for strategic UK customers.

Leads CDW’s UK Data & AI Solution Sales business, defining strategy, scaling data-readiness and AI propositions, growing revenue and profit, and managing customer, vendor, and partner relationships. The role oversees teams spanning data platforms, engineering, governance, analytics, and applied AI; develops go-to-market plans; ensures responsible, compliant solution selling; builds Microsoft and strategic vendor alliances; and drives talent development, forecasting, operational standards, and customer outcomes.

Leads pre-sales design of modern enterprise data platforms, including lakehouse, warehouse, federated, and data-product architectures. Advises customers on data strategy, legacy estate modernization, integration, governance, semantic layers, security, observability, FinOps, and AI-ready data. Leads discovery workshops, demonstrations, proofs of value, proposals, RFP responses, TCO and ROI modeling, partner engagement, and technical handoffs. Develops reusable reference architectures and go-to-market offerings while mentoring colleagues and maintaining platform expertise.

Leads predictive modeling projects from conception through production and monitoring, develops reusable data science pipelines, evaluates features, and supports pricing decisions. The role manages and mentors data scientists, reviews technical work, establishes modeling and software development standards, and collaborates with senior leaders to shape data science strategy. Strong expertise in machine learning, Python, SQL, Git, and commercial data science delivery is required, with insurance and cloud ML experience preferred.