Data Scientist

Harnham
Merseyside, UK
6 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Compensation
£45,000.0 - £50,000.0
Working hours
Regular working hours

Tech stack

Artificial Intelligence Microsoft Azure Cloud Computing Python (Programming Language) Machine Learning Azure Machine Learning

Job description

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 segmentation
  • Customer Lifetime Value (CLTV) modelling
  • Demand forecasting
  • Propensity modelling
  • Targeted promotions and campaign optimisation
  • Data Science initiatives linked to a major new loyalty programme

The 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.

Requirements

The business are open to strong Advanced Analytics candidates looking to transition further into Data Science

  • Strong Python experience
  • Experience building predictive or customer-focused models
  • A practical and commercially minded approach to Data Science

Nice to have:

  • Cloud exposure (GCP or Azure)
  • Experience with Vertex AI or Azure ML

Benefits & conditions

  • Up to £50,000

About the 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.

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