Senior Data Scientist

Senior Data Scientist – Customer Analytics (Energy, Utilities, Telecoms & Insurance) Contract July Start Fully Remote (UK-Based) 3-Month Rolling Contract £500/day Inside IR35 We're looking for a Senior Data Scientist to join a customer analytics programme, helping deliver predictive machine learning solutions that drive commercial decision-making and improve customer outcomes. While Energy & Utilities experience is preferred, we're also keen to hear from candidates with backgrounds in telecoms or insurance, particularly those who have worked with subscription or term-based products and services. This role is focused on understanding customer behaviour and building predictive models that support customer retention, reduce bad debt and improve commercial performance. Key Requirements • Senior Data Scientist with strong commercial experience delivering production-ready machine learning solutions. • Experience within Energy & Utilities (preferred), or telecoms or insurance with customer analytics in subscription or term-based businesses. • Proven experience designing and deploying predictive machine learning models for one or more of: • Customer churn prevention and retention • Debt management / collections • Credit risk or customer risk analytics • Customer behaviour, propensity or segmentation • Strong statistical modelling and machine learning skills using Python (Scikit-learn, Pandas, NumPy, SciPy) and SQL. • Experience working in Databricks is desirable. • Excellent client-facing and stakeholder management skills, with the ability to communicate technical insights to business audiences. • Comfortable working closely with clients to understand commercial challenges and deliver data-driven solutions. If you've built customer-focused predictive ML models within Energy & Utilities, telecoms or insurance and are available to start within the next few weeks, we'd love to hear from you. Apply now to find out more.