Top Data Jobs in London

The Business Development Manager will drive revenue growth in the Fraud & ID business by generating prospects, acting as a trusted advisor, and closing contracts with customers.

The VP of Practice Operations will drive operational excellence and transformation across client portfolios, implementing strategies, managing teams, and improving quality and efficiency in media operations.

The Technical Product Marketing Manager leads demo strategy and technical storytelling for Alteryx, focusing on creating demo environments and training for internal teams, influencing product communication and supporting strategic deals.

Lead and execute the company-wide AI roadmap, enable teams to use AI tools, identify and prioritize AI initiatives across the value chain, advise executive leadership, grow the AI Champions network, ensure governance/security/compliance, and scale AI opportunities organization-wide.

The Director will lead client engagements, overseeing teams, managing client relationships, and developing proposals. Mentors junior consultants and drives practice development initiatives with a strong focus on relationship building in a private equity context.

Lead data architecture and cloud transformation engagements for financial services clients. Define enterprise data strategy, design scalable cloud-native data platforms, integrate governance, cataloguing, privacy and metadata capabilities, and present technical solutions to stakeholders while shaping Capco's data architecture offerings.

The role involves designing and developing high-performance, real-time data processing systems using Apache Flink and Kafka, ensuring reliability and scalability while collaborating with various teams.

The AI Portfolio Lead will develop AI product offerings, analyze market trends, manage curriculum, and ensure high-quality learning experiences while influencing policies and stakeholder engagement.

The Senior Data Platform Engineer will manage Databricks infrastructure, develop cloud systems, collaborate with teams, and enhance machine learning workflows.

Develop and implement predictive models for sporting outcomes. Prototype, evaluate, optimize algorithms (Monte Carlo, neural nets, regressions, ensembles). Collaborate in an Agile, cross-functional squad and support model deployment and retraining.

Design, prototype, implement and optimize predictive models for sporting outcomes. Collaborate in an agile, multidisciplinary team, apply probability and machine learning methods, deploy models, and mentor junior colleagues.

Lead and manage a team of data scientists to design, build and deploy predictive sports models. Oversee algorithm development (probability, Monte Carlo, ML), mentor staff, collaborate with engineers and product managers, and ensure continuous delivery and high-performance, production-ready model implementations across multiple sports.

Design scalable telemetry and event schemas for game analytics. Partner with game dev, analytics engineering, and data science to translate requirements into telemetry, validation rules, and documentation. Ensure data quality, support QA checks, and maintain standards for discoverability, governance, and downstream modelling, reporting, experimentation, and ML use.

Lead creation of Fujitsu UK's Quantum function: define strategy, operating model and governance; build multidisciplinary teams; integrate global research and partners; design quantum-HPC-AI solutions; drive go-to-market, client advisory, and ecosystem engagement to deliver commercial quantum propositions and proofs-of-concept.

Lead and mentor data science teams to design, develop, and deploy ML and AI solutions (including GenAI/LLMs). Align technical outcomes with business goals, drive MLOps and model governance, and deliver scalable production systems.

The Customer Success Manager will cultivate strong relationships with key stakeholders, develop tailored success plans, guide clients to maximize platform value, and collaborate with internal teams to achieve measurable outcomes.

Lead end-to-end large-scale financial services transformation programmes, manage governance, stakeholders and budgets, drive SAFe agile delivery (PI planning, backlogs), implement change management, support sales/RFPs, advise senior clients, and foster team development and adoption of digital/AI solutions.

Lead end-to-end analytics projects delivering executive-ready insights. Architect and govern Domo dashboards, enforce data quality and lineage, manage ETL and warehousing integrations, and partner with senior stakeholders across Product, Commercial, Finance and Leadership.

Provide strategic legal counsel on AI, data, cybersecurity and emerging tech across cross-border transactions, regulatory compliance, and public policy. Lead high-stakes mandates, manage client relationships, mentor teams, design data protection and cyber incident strategies, and drive thought leadership and business development.

Manage and grow enterprise airline accounts as the day-to-day commercial and relationship lead. Own client satisfaction, retention, revenue targets, pipeline, forecasting, renewals, and senior stakeholder engagement while partnering with delivery, solution architecture, and account leadership.

Build and maintain ultra-high-scale data platforms and pipelines (petabyte scale). Write fault-tolerant Java/Spark code, design low-latency query capabilities, improve performance and stability, participate in technical reviews, and enable customers/internal teams to query and extract analytics from event data.

The Inside Sales Associate manages relationships with hotel clients, generates new business, educates clients on products, and tracks activities in the CRM.

Lead large-scale transformation programmes across strategy, delivery, digital and data to drive customer-focused, sustainable energy solutions. Partner with senior leaders to align investment, governance and workforce capability, embed cultural change, and deliver measurable business benefits using automation, analytics and AI.

Manage a portfolio of customer firms, own escalations, investigate complex issues, and act as the bridge between customers and internal teams. Drive operational improvements, analyse systems and data to find root causes, deliver trainings and workshops, monitor customer health, and recommend process and product changes to improve experience and reduce recurring issues.

Lead and grow the Data Strategy & Advisory Practice in the Insurance domain, developing data strategies and transforming enterprise data solutions for clients.