Description

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 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.