Overview
Mid-Level Data Scientist – Knowsley - Hybrid
The Company: They are a well-established UK retail business undergoing a significant data transformation. With major customer-led initiatives underway, including a new loyalty programme, the organisation is increasing its focus on advanced analytics, machine learning and personalisation. The culture is collaborative, pragmatic and delivery-focused, with an emphasis on getting models into production rather than staying in experimentation mode.
The Role
You will join a small but growing Data Science team, working closely with the Data Science Lead and one other Data Scientist. This is a hands-on role focused on building strong foundations and scaling existing use cases across the business. Key responsibilities include:
* Designing and developing customer-focused data science solutions across segmentation, lifetime value, forecasting and targeting
* Taking models end to end from problem definition through to deployment and monitoring
* Working with stakeholders to translate business questions into robust modelling approaches
* Partnering with engineers and analysts to productionise models and embed them into customer journeys
* Contributing to the development of a new Data Science platform and best practices as the team matures
Your Skills & Experience
To be successful in this role, you will bring:
* Strong commercial experience in Data Science or Machine Learning within a real-world environment
* Advanced Python skills for modelling and analysis, with solid SQL capability
* Experience delivering end-to-end data science solutions, including deployment
* Exposure to forecasting, statistical modelling or applied machine learning use cases
* Comfort working in a team that is still evolving its Data Science maturity
* Clear communication skills and the ability to build credibility with non-technical stakeholders
* Cloud exposure in GCP or Azure, and experience using managed ML services, would be advantageous but not essential.
What They Offer
* The chance to shape a growing Data Science function and influence technical direction
* High-impact, customer-facing projects with clear routes into production
* Strong long-term progression as the data and AI capability continues to scale
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