Top Data Jobs in London

Lead electrical design and technical delivery for data centre projects across feasibility to handover. Define power architectures, perform power systems and protection studies (using ETAP/SKM), integrate monitoring/controls, embed decarbonisation and efficiency measures, ensure standards compliance, coordinate multidisciplinary interfaces, mentor teams, and support business development and project financial management.

Lead data migration, validation, and optimisation for Workday Financials implementations. Design and use Workday load tools, map and transform financial data, develop ETL and reconciliation processes, validate loads, support tenant migrations, engage stakeholders, and contribute to training and knowledge sharing.

Design, build and scale production data pipelines and analytics-ready models on AWS and Snowflake using dbt. Lead data platform architecture, ensure reliability, implement CI/CD and testing, mentor engineers, and embed governance, observability and security practices.

Entry-level role for recent graduates to research and support Data & AI innovation. Responsibilities include trend research, using GenAI tools (e.g., Claude), developing client-facing presentations, collaborating with senior experts, and contributing to new Data and AI offerings.

The Data Science Manager will collaborate with business partners, oversee predictive model building, manage a team, and deliver analytical insights to drive business decisions.

As a Senior Data Scientist, you will optimize marketing performance, develop machine learning models, analyze A/B tests, and collaborate closely with marketing and data engineering teams.

The Senior Data Scientist will optimize marketing campaigns using data solutions, machine learning models, and collaboration with performance marketing teams to enhance business strategies at Preply.

Build and own pricing data science capabilities, including demand and elasticity models, forecasting, willingness-to-pay models, pricing optimization, experimentation, and causal analysis. Deploy and monitor machine learning systems, establish governed pricing metrics, and partner with Commercial, Finance, and Product to improve margin and revenue. Set analytical standards for pricing decisions and build reusable analytical capabilities.

Designs and governs enterprise data architectures supporting analytics, reporting, operations, and AI initiatives. Responsibilities include data modeling, warehousing, integration pipelines, APIs, governance, quality, lineage, security, and architecture optimization. The role provides technical leadership and mentorship, guides cloud and big data technology decisions, develops proofs of concept and roadmaps, and supports client proposals and account growth. Collaboration with engineers, analysts, developers, and business stakeholders is central to delivering scalable, secure, high-performance data platforms.

Provides senior consulting expertise on data strategy, architecture, governance, transformation roadmaps, and scalable Microsoft Fabric solutions. Partners with clients, leads workshops, translates business needs into technical designs, supports pre-sales activities, develops proofs of concept, and contributes to proposals. Acts as a Microsoft Fabric subject matter expert while mentoring consultants and developers and managing multiple delivery priorities.

Leads data engineering teams building scalable, governed data products and platforms. Responsibilities include overseeing architecture, ingestion pipelines, orchestration, governance, security, access control, performance optimization, and Bronze/Silver/Gold data layers. The role manages delivery of analytics-ready datasets at very large scale, coaches engineers, and partners with analytics, business, and customer stakeholders to produce actionable operational and financial insights.

Support development and continuous improvement of data products for electricity transmission network planning and operations. Define roadmaps, manage backlogs, gather requirements, validate data quality and lineage, collaborate with stakeholders and delivery teams, enable analytics and governance, and measure product performance and adoption.

Lead business discovery and requirements analysis for data, reporting and analytics initiatives. Define processes, KPIs, data models, lineage and governance. Collaborate with analytics, data architects and delivery teams to elicit, validate and prioritise requirements, support testing, adoption and continuous improvement while managing stakeholders and multiple concurrent initiatives.

Lead enterprise data governance by defining frameworks, policies, and operating models. Manage data quality, metadata, catalogs, lineage, stewardship, compliance, and MDM. Collaborate with stakeholders, run governance councils, track KPIs, and support analytics, cloud, and AI initiatives.

Apply advanced data science, machine learning and Gen-AI to build AI-native products, perform technology due diligence, competitive intelligence, forecasting, and benchmarking. Develop analytics frameworks, KPIs, visualizations, and collaborate with Technology and AI teams to prototype AI/ML solutions and automate market and technology insights for strategic decision-making.

Lead growth-focused data science initiatives, owning LTV prediction models across countries and channels. Translate business questions into models, analyze large customer and marketing datasets, evaluate acquisition quality, monitor and productionise models with engineering partners, and drive data-informed growth and retention decisions.

Design, build, and operate governed data pipelines and context layers for AI agents integrating Salesforce, SAP, and service data. Implement feedback loops, data-quality frameworks, semantic models, Power BI reporting, and secure API-based integrations to support enterprise commercial AI workflows.

Serve as Snowflake platform authority and design lead, translating models into Snowflake/DBT implementations, enforcing medallion patterns, guiding production stability, cost and performance optimization, mentoring teams, and representing Snowflake architecture for enterprise governance and enablement.

Build and maintain scalable ETL/ELT pipelines, integrate ServiceNow and Salesforce data, implement Microsoft Fabric medallion architecture, and develop Power BI reports and semantic models to deliver reliable insights and support stakeholders.

Lead analytics for global clients: develop dashboards, forecasting models and analytics tools; perform audience analysis, segmentation, performance measurement and automation; support proposals and new business; mentor junior analysts; shape analytics strategy and communicate insights to senior stakeholders.

Manage Alfa's day-to-day data privacy programme: draft and review policies and DPAs, run DPIAs, compile Records of Processing Activities, support international data transfers, lead audits, perform privacy risk assessments, and collaborate with Information Security, legal and client teams to ensure GDPR compliance and remediation tracking.

Lead and own LoopMe's AI throttling system and related AI products end-to-end. Manage a team of four data scientists/ML engineers, define roadmap, partner with commercial and operations teams, deploy and monitor production models, measure causal business impact, and maintain technical quality across modelling and systems.

Lead analytics to improve player experience, engagement, retention, and monetization. Analyze player lifecycle, run cohort and funnel analyses, design and evaluate A/B tests, build dashboards, define product metrics, investigate KPI changes, and partner with product, marketing, engineering, and data teams to deliver data-driven recommendations and improve data quality.

The Data Scientist supports customer use of the Epistemix platform through data integration, modeling, and visualization, improving decision-making and customer satisfaction.

The Senior Data Engineer will enhance backend systems for a social media app by managing databases, optimizing recommendation algorithms, and ensuring accurate recommendations.