Data Scientist - Consumer Technology Platform

wn machine learning that drives decisions across a 4M+ member platform

Build commercial models spanning retention, recommendations and customer growth

Work directly with senior stakeholders in a growing Data Science team

Up to £90,000 + 7% Bonus

Hybrid | London (2 days/week) - Leicester office visit once a month included

Join 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 Role

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• Build retention, churn and CLV models
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• Develop recommendation and search algorithms
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• Create forecasting and marketing mix models
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• Detect fraud, broken journeys and offer issues
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• Design and evaluate A/B tests
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• Translate business problems into scalable ML solutions
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• Tech stack: Python, SQL, Databricks, dbt, MLflow
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Requirements

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• 5+ years' commercial Data Science experience
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• Strong Python and SQL skills
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• Experience with customer, marketing, ecommerce or loyalty data
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• Background in retention, CLV, recommendations or experimentation
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• Excellent stakeholder management
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• Databricks, dbt or MLflow exposure is beneficial
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Why Join?

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• Up to £90,000 + 7% bonus
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• Hybrid working (2 days/week)
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• High commercial ownership and visibility
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• Dedicated MLOps support
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• Opportunity to shape strategy through machine learning
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If you're looking for a role where your models directly influence customer experience, commercial performance and strategic decision making, please apply below.