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Data Scientist

Hydrogen Group · England, United Kingdom

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Senior Data Scientist | Customer Retention & Personalisation | Hybrid (UK)We’re hiring a Senior Data Scientist to join a growing data science team working on some of the most commercially impactful customer problems in a large-scale consumer business.This is a hands-on role focused on building and shipping data science products that improve customer experience and business performance. You’ll work across areas such as churn, next-best-action, personalisation, recommendation models, marketing effectiveness, and demand forecasting.What makes this role different?This is not a pure MLOps or platform role. The team is specifically looking for someone with a strong applied statistics background who can:Turn ambiguous business questions into testable hypothesesDesign and evaluate experiments and statistical testsQuantify uncertainty and communicate results clearlyBuild robust propensity and forecasting modelsHelp raise the statistical capability of the wider data science teamTech environment:PythonSQLPySparkDatabricksAzureMLflow / CI-CD toolingWhat you’ll be doing:Owning data science solutions end-to-endBuilding customer retention and recommendation modelsDeveloping time-series forecasting solutionsCreating behavioural features from historical customer dataWorking closely with product, marketing, and customer teamsReviewing models and supporting other data scientistsWe’d love to speak to people who have experience with:Churn / retention modellingPropensity or next-best-action modelsCustomer analytics and personalisationExperimentation and hypothesis testingTime-series analysis and forecastingProduction deployment of ML modelsLocation & working pattern:Hybrid working with 2 days per week in the office.Candidates can be based around Welwyn Garden City, Slough, or other UK office locations.Package:£78,000 – £83,000 base salary20% bonusExcellent benefits packageLong-term opportunity to shape customer-facing data science products at scaleIf you enjoy combining rigorous statistics, customer insight, and real-world ML delivery, I’d be happy to tell you more.