Data Scientist
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Role details
Tech stack
Job description
You’ll join a growing Data Science team, working closely with the Lead Data Scientist alongside analytics, engineering, and commercial stakeholders across the business. This is a hands-on mid-level Data Scientist role focused on developing and deploying customer-focused machine learning models.
Projects include:
- Customer segmentation
- Customer Lifetime Value (CLTV) modelling
- Demand forecasting
- Propensity modelling
- Targeted promotions and campaign optimisation
- Data Science initiatives linked to a major new loyalty programme
The team are still early in their Data Science journey, making this an excellent opportunity for someone who enjoys building scalable solutions and helping shape best practices.
Requirements
The business are open to strong Advanced Analytics candidates looking to transition further into Data Science
- Strong Python experience
- Experience building predictive or customer-focused models
- A practical and commercially minded approach to Data Science
Nice to have:
- Cloud exposure (GCP or Azure)
- Experience with Vertex AI or Azure ML
Benefits & conditions
- Up to £50,000
About the company
This established UK retail brand is investing heavily across Data Science, analytics, and AI as part of a wider business transformation. The organisation is moving away from ad-hoc analytics and building a modern Data Science function capable of supporting customer personalisation, forecasting, and smarter commercial decision-making at scale. The culture is collaborative, pragmatic, and delivery-focused, with a strong emphasis on getting models into production and creating measurable business value.
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