2 of 2 Head of Data Science Jobs in Central London

Group Head of Data Science Hybrid - London (occasional travel to European offices) Up to £180,000 + benefits About the Role We are working with a global lottery/gambling provider on a 'Group Head of Data Science' role - you’ll be responsible for building and scaling their global Machine Learning and … commercial performance, enhances player engagement, and enables smarter, real-time decisioning across lottery, iGaming, and adjacent ventures. You’ll set the strategic vision, while building a high-performing team of data scientists. Key Responsibilities Own 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 More ❯

Head of Data Science - Credit Risk/Lending Up to £130,000 + Bonus London (2/3 days onsite) Company: A long term client of ours, operating within the Credit/Lending space is looking to bring in a new Head of Data Science. Focused on Credit Cards and Loans, the … digital-first platform and smart analytics to assess affordability fairly and lend responsibly. Backed by a trusted brand, it’s making credit clear, accessible, and ethical. Responsibilities: Lead a Data Science team to build and embed top credit models supporting growth and customer outcomes. Develop and deploy segmented credit models for unsecured consumer lending. Improve data and … analytics by identifying opportunities and encouraging rapid testing. Work with Analytics to optimise portfolio value through data and modelling adjustments. Communicate insights to stakeholders, monitor model performance, and collaborate across teams and external partners. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Experience working with models in the Credit Risk/ More ❯