Data Scientist
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Role details
Tech stack
Job description
This is an opportunity to join a growing Data Science function at a pivotal moment, with strong senior backing and a clear focus on building production-ready models that drive real commercial impact. You will play a key role in shaping how Data Science is used across customer-focused initiatives, moving beyond ad-hoc analysis into scalable, repeatable solutions., * Work hands-on alongside the Data Science Lead and another Data Scientist to build and scale customer-focused models.
- Take ownership of end-to-end Data Science projects from problem definition through to deployment.
- Develop and productionise models across use cases such as customer segmentation, lifetime value modelling, demand forecasting, and targeted campaigns.
- Contribute to the design and evolution of a new Data Science platform and best practices.
- Partner closely with Data Engineers, Analysts, and commercial stakeholders to ensure models are practical and impactful.
Requirements
- Strong commercial experience using Python for Data Science and Machine Learning.
- Confident working with SQL to access and manipulate data.
- Proven experience delivering end-to-end Data Science solutions, including deployment into production environments.
- Ability to communicate clearly with non-technical stakeholders and explain model outputs and impact.
- Exposure to cloud platforms such as GCP or Azure is beneficial, with openness to tools like Vertex AI or Azure ML.
Benefits & conditions
- Salary up too £48,000.
- Hybrid working with three days per week onsite.
- The chance to help shape a growing Data Science capability at an early stage.
- Clear scope for progression as the function and its influence across the business continue to grow.
About the company
A large UK retail organisation undergoing a significant data and AI transformation. The business is investing in building a sustainable Data Science capability to support more advanced modelling, forecasting, and personalisation.
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