Data Scientist - Consumer Technology Platform

wn machine learning that drives decisions across a 4M+ member platformBuild commercial models spanning retention, recommendations and customer growthWork directly with senior stakeholders in a growing Data Science teamUp to £90,000 + 7% BonusHybrid | London (2 days/week) - Leicester office visit once a month includedJoin one of the UK's largest membership platforms, using machine learning to improve engagement, retention and commercial performance for over 4 million members.Working within a small, high-impact Data Science team, you'll develop models across retention, CLV, recommendations, search, forecasting and anomaly detection, partnering closely with Product, Marketing, CRM and Finance.The RoleBuild retention, churn and CLV modelsDevelop recommendation and search algorithmsCreate forecasting and marketing mix modelsDetect fraud, broken journeys and offer issuesDesign and evaluate A/B testsTranslate business problems into scalable ML solutionsTech stack: Python, SQL, Databricks, dbt, MLflowRequirements5+ years' commercial Data Science experienceStrong Python and SQL skillsExperience with customer, marketing, ecommerce or loyalty dataBackground in retention, CLV, recommendations or experimentationExcellent stakeholder managementDatabricks, dbt or MLflow exposure is beneficialWhy Join?Up to £90,000 + 7% bonusHybrid working (2 days/week)High commercial ownership and visibilityDedicated MLOps supportOpportunity to shape strategy through machine learningIf you're looking for a role where your models directly influence customer experience, commercial performance and strategic decision making, please apply below.