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Permanent

Global Head of Data Science (London)

London
money-bag £130,000 per annum
74D19D4759CDF8D6FD6162A226D7105D
Posted Yesterday

This range is provided by Harnham. Your actual pay will be based on your skills and experience talk with your recruiter to learn more.

Base pay range

Direct message the job poster from HarnhamBuilding Data Science and Machine Learning Teams in the UK | The Talent Driving The Data and AI Revolution

Group Head of Data ScienceHybrid - London (occasional travel to European offices)Up to 180,000 + benefitsAbout the RoleWe are working with a global lottery/gambling provider on a ''Group Head of Data Science'' role - youll be responsible for building and scaling their global Machine Learning and AI function that drives commercial performance, enhances player engagement, and enables smarter, real-time decisioning across lottery, iGaming, and adjacent ventures.Youll set the strategic vision, while building a high-performing team of data scientists.Key ResponsibilitiesOwn and execute the group-wide ML/AI strategy, aligning with key commercial priorities.Lead development and deployment of high-impact models (personalisation, churn, demand forecasting, pricing, etc.) into production.Establish governance and standards for model quality, explainability, and bias mitigation across jurisdictions.Drive adoption of MLOps best practices - CI/CD, automated testing, monitoring, feature stores.Partner with Marketing, Digital, Technology, Innovation and local business units to embed intelligence into customer and operational workflows.Champion advanced analytics techniques such as reinforcement learning, causal inference, and generative AI.Build, mentor, and retain a diverse team of data science talent, fostering a culture of experimentation and excellence.Track and report on ROI and business value delivered from predictive initiatives to senior leadership.What Were Looking For8+ years experience in data science and ML, with at least 2 years in a senior leadership capacity.Proven success delivering ML solutions that drive measurable commercial outcomes at scale.Hands-on expertise across the ML lifecycle, in modern cloud environments (AWS, GCP, Azure).Strong communication skills and ability to influence across technical and non-technical stakeholders.Deep knowledge of ethical AI governance and experience implementing controls for compliance.Background in consumer-facing sectors like gaming, e-commerce, fintech or digital media is desirable.Growth mindset, commercial acumen and a passion for unlocking value through data.Please note - this role cannot offer VISA sponsorship.Seniority level

Seniority level

Mid-Senior levelEmployment type

Employment type

Full-timeJob function

Job function

Science, Engineering, and AnalystIndustries

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