I'm hiring a Data Scientist for a large, well-known UK business investing heavily in itsdata, analytics, and AI capability.
This is a brilliant opportunity for someone from anadvanced analytics background who's started moving into modelling and wants to take the next step into atrue data science role - working on real use cases like customer segmentation, forecasting, and personalisation.
The companyA major UK business with a strong national presence, currently building out itsdata and analytics function under a new leadership team.
There's a big focus on using data to drivecustomer strategy and commercial performance, particularly with the launch of a newloyalty programme later this year - creating real demand for modelling and insight.
Where you fitYou'll sit within a growingData Science & Analytics team, reporting into the Data Science Lead and working closely with the Head of Data & Analytics.
This is an early hire in the data science journey, so you'll have:
- Real ownership
- Exposure to end-to-end projects
- The opportunity to help shape how modelling is applied across the business
What you'll be doing- Build and apply models across key retail use cases such as:
- Customer segmentation
- Customer lifetime value modelling
- Demand forecasting
- Work with stakeholders to define business problems and translate them into analytical solutions
- Develop models usingPython + SQL
- Support moving models towards production (with guidance from the team)
- Contribute to the development ofpersonalisation and loyalty analytics strategies
- Work across the full lifecycle: problem modelling insight business impact
What you bringMust-haves- 2-4 years' experience in analytics / data roles
- StrongSQL
- Experience usingPython (preferred) or R for modelling
- Experience building models (e.g. regression, segmentation, forecasting)
- Ability to break down business problems and apply analytical thinking
- Strong communication skills - able to work with non-technical stakeholders
Nice to have- Exposure to loyalty programmes
- Any experience taking models toward deployment
- Strong academic background in a quantitative subject
Why this role- Step up into atrue data science role from analytics
- Work onreal, high-impact use cases tied to a major loyalty programme launch
- Join at an early stage of the data science journey
- Strong mentorship from experienced leaders
- Opportunity to grow with the team as it scales
Working style- Based in Knowsley
- 3 days per week onsite
- Collaborative, fast-growing team environment
Interview process- Initial call with Hiring Manager (CV walkthrough)
- Onsite technical interview with leadership team
If you're an analyst who's started building models and wants to properly step into data science, this is a great opportunity to do it in a supportive but impactful environment.
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