2 of 2 Lead Data Scientist Jobs in the Midlands

Lead Data Scientist * Based in Nottingham * 4 days a week onsite * Pay £75,000 depending on experience Our client is a fast-growing financial services organisation seeking a Lead Data Scientist to join their data and analytics team. This is a hands-on role focused on developing predictive models, deploying autonomous decisioning frameworks … and driving innovation across the customer lifecycle. The successful candidate will work closely with cross-functional teams to deliver data-driven solutions in fraud prevention, marketing, credit risk, and customer management. This is an exciting opportunity for a commercially experienced data scientist to take ownership of key initiatives and shape the future of data science within … a forward-thinking environment. Role and Responsibilities: * Develop and deploy predictive models to improve customer outcomes across multiple business areas. * Lead model implementation and policy setting to support autonomous decision-making. * Design and execute test-and-learn strategies to inform business decisions. * Deliver actionable insights through structured analysis and clear communication. * Identify opportunities for process improvement and innovation using More ❯

We're looking for a Lead Data Scientist to join a fast-paced data team within a major UK retailer. In this role, you'll lead the development of data-driven solutions to support marketing strategy using techniques such as machine learning, causal inference, Marketing Mix Modeling (MMM), and experimental design. You'll work … closely with marketing teams and external partners to analyse customer behaviour, optimise marketing performance, and deliver impactful business recommendations. Key Responsibilities: Lead end-to-end data science projects to improve marketing efficiency and ROI. Develop models for MMM, customer lifetime value, churn prediction, and channel attribution. Partner with stakeholders to design and evaluate marketing experiments. Create dashboards and … data products for self-serve analytics and real-time insights. Ensure high standards in data quality, model governance, and documentation. Mentor and support junior team members as a technical lead More ❯