Data Scientist

Data Scientist£45,000–£50,000Merseyside (Hybrid – 3x Days a Week in Office)Looking for a Data Science role where your models will actually make it into production? This is an opportunity to join a major UK retail business at a pivotal stage in its Data Science and AI transformation. With a new loyalty programme launching and significant investment into customer analytics, the business is building a scalable Data Science capability focused on real commercial impactTHE COMPANY This established UK retail brand is investing heavily across Data Science, analytics, and AI as part of a wider business transformation. The organisation is moving away from ad-hoc analytics and building a modern Data Science function capable of supporting customer personalisation, forecasting, and smarter commercial decision-making at scale. The culture is collaborative, pragmatic, and delivery-focused, with a strong emphasis on getting models into production and creating measurable business value.THE ROLE You’ll join a growing Data Science team, working closely with the Lead Data Scientist alongside analytics, engineering, and commercial stakeholders across the business. This is a hands-on mid-level Data Scientist role focused on developing and deploying customer-focused machine learning models.Projects include:Customer segmentationCustomer Lifetime Value (CLTV) modellingDemand forecastingPropensity modellingTargeted promotions and campaign optimisationData Science initiatives linked to a major new loyalty programmeThe team are still early in their Data Science journey, making this an excellent opportunity for someone who enjoys building scalable solutions and helping shape best practices.YOUR SKILLS & EXPERIENCE The business are open to strong Advanced Analytics candidates looking to transition further into Data Science Strong Python experienceExperience building predictive or customer-focused modelsA practical and commercially minded approach to Data ScienceNice to have:Cloud exposure (GCP or Azure)Experience with Vertex AI or Azure MLTHE BENEFITS Up to £50,000 HOW TO APPLY Please register your interest by sending your CV to Adam Osborne at Harnham via the Apply link on this page.