Overview HeadofDataScience is required by a FTSE 100 business. The HeadofDataScience reports to the Chief Data Officer, who sits at Board Level. The HeadofDataScience themselves will sit on the company's Executive Management Committee (top 20 Management Execs … in the company). Key objectives Using predictive modelling to reduce disruption across the business Building scale & developing structure in the datascience team Educate and continue to build growing analytics community in the business Disruption modelling will include working across all areas of the business, not limited to marketing or customer data. The Datascience team The headofdatascience will have 4 lead data scientists reporting to them with 4/5 people reporting to each of them. Team generally consist of PhD Level DataScience talent. Key areas for the HeadofDatascience Presentation and communication at More ❯
HeadofDataScience (hands on) - FinTech HeadofDataScience role with a fast-growing B2B FinTech company, backed by multiple billionaires and a major global investment firm. You'll join an existing team of 2 Data Scientists within a wider business of 35 staff and report to … the Chief Product Officer. The CEO is a former Data Scientist, providing opportunities for knowledge exchange! The HeadofDataScience will work on: Credit risk models: Collaborate with the Chief Risk Officer to develop advanced machine learning models. Affordability models: Utilize bureau and open banking data to create transaction classification models and determine … safe borrowing limits for individual businesses. Product improvements: Use predictive models to identify key drivers of the conversion funnel and work with the CPO to enhance customer experience. Sales and distribution: Apply predictive models to identify UK businesses most interested in the company's products and services. Data analytics tech: Partner with the CTO and developers to establish More ❯
Group HeadofDataScience 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 HeadofDataScience' 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 ofdata 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 ❯
Group HeadofDataScience 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 HeadofDataScience' 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 ofdata 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 ❯
HeadofDataScience - 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 HeadofData 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 DataScience 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 ❯
HeadofDataScience - 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 HeadofData 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 DataScience 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 ❯
