Fin is the AI Customer Agent company on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-…
Data Scientist
Skills & Technologies
Job Description
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 Scientists. 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
How to Apply Apply now to learn more about this Mid-Level Data Scientist opportunity and how it could fit into your next career move.
Company & Role Analysis
JobSeeker+Neutral 2–4 sentence summary of what working at this company is like, drawn from public reviews and press coverage. Tone, collaboration style, pace, benefits highlights.
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