Data Scientist

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.

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 product ionise models and embed them into customer journeys
• Contributing to the development of a new Data Science platform and best practices as the team matures

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.

• 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