Hydrogen Group
Data Scientist
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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 hypotheses
- Design and evaluate experiments and statistical tests
- Quantify uncertainty and communicate results clearly
- Build robust propensity and forecasting models
- Help raise the statistical capability of the wider data science team
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Tech environment:
- Python
- SQL
- PySpark
- Databricks
- Azure
- MLflow / CI-CD tooling
What you’ll be doing:
- Owning data science solutions end-to-end
- Building customer retention and recommendation models
- Developing time-series forecasting solutions
- Creating behavioural features from historical customer data
- Working closely with product, marketing, and customer teams
- Reviewing models and supporting other data scientists
We’d love to speak to people who have experience with:
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- Churn / retention modelling
- Propensity or next-best-action models
- Customer analytics and personalisation
- Experimentation and hypothesis testing
- Time-series analysis and forecasting
- Production deployment of ML models
Location & 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 salary
- 20% bonus
- Excellent benefits package
- Long-term opportunity to shape customer-facing data science products at scale
If you enjoy combining rigorous statistics, customer insight, and real-world ML delivery, I’d be happy to tell you more.
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