Top Data Jobs in London

Senior technical authority for electrical engineering across EMEA data centre portfolio. Lead design governance, resilience validation, technical assurance, and delivery of HV/MV/LV, UPS, generator, protection, and energy systems from concept through commissioning. Drive reference designs, standards, consultant oversight, innovation (battery storage, liquid cooling), and cross-functional alignment to ensure constructability, operational readiness, and long-term platform performance.

Lead the design and execution of advanced technical solutions for hyperscale and enterprise clients in data centers and AI environments, ensuring efficient, scalable solutions align with customer needs.

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.

As an Engineering Manager, oversee data engineering and analytics projects, while leading teams focused on data platforms and governance. Foster collaboration and ensure operational compliance.

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

Lead the development and integration of AI solutions, focusing on advanced modeling, generative AI architecture, and building user interfaces for decision-making tools.

Design, develop, and maintain data pipelines using Kafka; build infrastructure with Terraform; troubleshoot data engineering issues and collaborate with teams.

Senior pricing and analytics leader for Asset Servicing responsible for developing pricing frameworks, governance, and margin management. Translate analytics into commercial insights, collaborate with product teams on benchmarks and fee schedules, maintain KPIs, and modernize BAU with AI, data science, automation and MLOps. Lead stakeholders and drive accountability for business outcomes.

Lead and grow the telematics data science team, define technical roadmap, and develop novel ML and signal-processing models (on-device and cloud) to predict driving behaviour, crashes, and risk. Integrate telematics with pricing and products, measure real-world model impact, ensure fairness in pricing, and represent telematics science to senior leadership and partners.

Serve as ELN subject-matter expert: configure and administer ELN (primarily Benchling), gather stakeholder requirements, build templates/workflows, support integrations and dashboards, maintain TD data repository, write SQL to extract/validate data, ensure data integrity and regulatory compliance, provide training and support to users.

Manage and ensure quality, accuracy and reliability of core reference data for securities, issuers, ratings, industry classifications and investment analytics. Resolve complex data issues, collaborate with stakeholders, drive process improvements to reduce risk and improve efficiency, and support initiatives to scale operations. Use Excel and data visualization/tools and work with enterprise data platforms as needed.

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.

Design, build, and maintain performant PostgreSQL datastores, scalable data pipelines, and production-ready Python HTTP APIs. Ensure data quality, integrity, and query performance for financial datasets. Collaborate with researchers and clients to translate needs into features, using automated testing to own features from conception through deployment.

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 electrical design for hyperscale and colocation data centres, manage project delivery and multidisciplinary teams, produce designs across RIBA stages, undertake site supervision, client liaison, technical reports, cost estimating, and mentor junior engineers.

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.

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 global workforce planning and people analytics, building supply/demand models, scenario planning, dashboards, and predictive models. Partner with HR, Finance and segment leaders to align headcount, support restructuring and cost optimisation, ensure data governance and compliance, and present executive-ready workforce insights.

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.

Develop and deploy credit risk and behavioural models for US unsecured loans and credit cards using machine learning. Translate business problems into data questions, run experiments, implement models, monitor performance, and communicate results to stakeholders.

Lead Nothing's data function from scratch: map priority use cases, design and build end-to-end pipelines connecting ERP, HRIS, app telemetry and trackers, own architecture and tooling choices, define data quality standards, and enable AI/LLM workflows to power business decisions.