Data Scientist - Major UK Retailer

Harnham; Knowsley; On-site; GBP 55,000 - 75,000; Full time

Job summary

Harnham is helping a major UK retailer build a scalable Data Science function. As a Mid-Level Data Scientist, you’ll collaborate with the Data Science Lead and business stakeholders to develop and deploy machine learning solutions that directly impact customer engagement and commercial performance.

You will help scale Data Science across the organisation as the team matures, delivering predictive modelling, personalisation, forecasting, and customer analytics for the new loyalty programme.

Responsibilities

• Build and deploy machine learning models across customer and commercial use cases
• Develop customer segmentation, CLV, and forecasting solutions
• Support loyalty programme personalisation and campaign optimisation initiatives
• Work across the full Data Science lifecycle from problem definition to deployment
• Partner with engineers, analysts, and business stakeholders to deliver impact
• Help establish scalable Data Science foundations and best practices
• Communicate model outputs and business value to non-technical audiences

Job description

Do you want to help build a Data Science function from the ground up?

Have you delivered machine learning models that made it into production and drove real business value?

Are you ready to shape how one of the UK's largest retailers uses customer data and AI?

A major UK retail business is investing heavily in its Data & AI capabilities and is building a scalable Data Science function to support the next phase of growth. With a new customer loyalty programme launching this year, there is significant demand for predictive modelling, personalisation, forecasting, and customer analytics.

As a Mid-Level Data Scientist, you'll work closely with the Data Science Lead and wider business stakeholders to develop and deploy machine learning solutions that directly impact customer engagement and commercial performance. You'll play a key role in helping scale Data Science across the organisation as the team continues to mature.

Key Responsibilities

• Build and deploy machine learning models across customer and commercial use cases
• Develop customer segmentation, CLV, and forecasting solutions
• Support loyalty programme personalisation and campaign optimisation initiatives
• Work across the full Data Science lifecycle from problem definition to deployment
• Partner with engineers, analysts, and business stakeholders to deliver impact
• Help establish scalable Data Science foundations and best practices
• Communicate model outputs and business value to non-technical audiences