Data Scientist - Consumer Technology Platform
Summary
Build ML models for retention, recommendations and customer growth on a 4M+ member platform using Python, SQL and Databricks.
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
- Build retention, churn and CLV models
- Develop recommendation and search algorithms
- Create forecasting and marketing mix models
- Detect fraud, broken journeys and offer issues
- Design and evaluate A/B tests
- Translate business problems into scalable ML solutions
- Tech stack: Python, SQL, Databricks, dbt, MLflow
Requirements
- 5+ years' commercial Data Science experience
- Strong Python and SQL skills
- Experience with customer, marketing, ecommerce or loyalty data
- Background in retention, CLV, recommendations or experimentation
- Excellent stakeholder management
- Databricks, dbt or MLflow exposure is beneficial
Why Join?
- Up to £90,000 + 7% bonus
- Hybrid working (2 days/week)
- High commercial ownership and visibility
- Dedicated MLOps support
- Opportunity to shape strategy through machine learning
If you're looking for a role where your models directly influence customer experience, commercial performance and strategic decision making, please apply below.