At a Glance
- Tasks: Build models for customer segmentation, lifetime value, and demand forecasting using Python and SQL.
- Company: Join a major UK business focused on enhancing its data and analytics capabilities under new leadership.
- Benefits: Enjoy strong mentorship from experienced leaders and the opportunity to grow with the team.
- Other info: Position based in Knowsley, requiring 3 days onsite per week.
- Why this job: Step into a true data science role tied to a major loyalty programme launch.
- Qualifications: Must have 2-4 years' experience in analytics, strong SQL, and Python or R skills.
The predicted salary is between 40000 - 50000 £ per year.
I'm hiring a Data Scientist for a large, well-known UK business investing heavily in its data, analytics, and AI capability. This is a brilliant opportunity for someone from an advanced analytics background who's started moving into modelling and wants to take the next step into a true data science role - working on real use cases like customer segmentation, forecasting, and personalisation.
The company is a major UK business with a strong national presence, currently building out its data and analytics function under a new leadership team. There's a big focus on using data to drive customer strategy and commercial performance, particularly with the launch of a new loyalty programme later this year - creating real demand for modelling and insight.
Where you fit
You'll sit within a growing Data 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 using Python + SQL
- Support moving models towards production (with guidance from the team)
- Contribute to the development of personalisation and loyalty analytics strategies
- Work across the full lifecycle: problem modelling insight business impact
What you bring
Must-haves
- 2-4 years' experience in analytics / data roles
- Strong SQL
- Experience using Python (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 a true data science role from analytics
- Work on real, 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.
Data Scientist (open to Advanced Analytics backgrounds) employer: Job Search Place Limited
This well-known UK business is investing heavily in data and analytics, particularly with a new loyalty programme. Located in Knowsley, the collaborative team environment offers strong mentorship and growth opportunities as the data science function expands.
