Why This Role Stands Out
This hybrid role offers a fantastic opportunity to drive impactful customer-focused data science initiatives within a leading UK retail business undergoing exciting transformation. You'll thrive here if you're a mid-senior Data Scientist with strong Python and SQL skills, eager to build and deploy end-to-end solutions in a collaborative, delivery-focused team. Apply now to contribute to a growing Data Science platform and shape the future of analytics in a dynamic retail environment.
Quick Overview
Job Description
Data Scientist
£45,000 - £55,000
Merseyside (3 days a week in office)
This is an excellent opportunity to join a growing Data Science function at a business investing heavily in its data and AI capabilities. You'll work on high-impact customer and commercial projects, helping to shape how machine learning is adopted across the organisation while gaining exposure to cutting-edge tools and a rapidly evolving data environment.
THE COMPANY
This organisation is investing heavily in its Data and AI capabilities, with a focus on building a scalable Data Science function that delivers real business impact. As Data Science becomes increasingly central to decision-making, you'll have the opportunity to work on high-profile customer and commercial projects with strong backing from senior leadership. They foster a collaborative, pragmatic culture where Data Scientists are encouraged to move beyond experimentation and deliver solutions that create measurable value. The focus is on deploying models into production and embedding data-driven thinking across the business.
THE ROLE
As a Data Scientist, you will work closely with senior stakeholders, analysts, engineers, and fellow Data Scientists to deliver machine learning solutions across a range of customer and commercial use cases.
Specifically, you can expect to be involved in the following:
- Building and deploying predictive machine learning models
- Developing customer segmentation and customer lifetime value models
- Creating forecasting solutions to support business planning
- Delivering propensity and churn models to improve customer engagement
- Translating complex analytical findings into clear business recommendations
- Collaborating with engineering teams to support model deployment and operationalisation
- Supporting the development of a modern Data Science platform
- Working with cloud-based machine learning tools and technologies
- Engaging directly with stakeholders to understand challenges and define analytical solutions
SKILLS AND EXPERIENCE
The successful Data Scientist will have the following skills and experience:
- Strong commercial experience in Data Science and machine learning
- Advanced Python and SQL skills
- Experience using statistical modelling and predictive analytics techniques
- Knowledge of machine learning algorithms such as XGBoost and related ensemble methods
- Experience delivering projects across the full Data Science lifecycle, from problem definition through to deployment
- Ability to communicate technical concepts clearly to non-technical audiences
- Experience working with customer analytics, segmentation, churn, propensity modelling, forecasting, or related use cases
- Exposure to cloud environments such as Azure or GCP is beneficial
- Experience with Azure ML, Vertex AI, or similar machine learning platforms is advantageous
BENEFITS
The successful Data Scientist will receive the following benefits:
- Salary between £45,000 - £55,000 - depending on experience
HOW TO APPLY
Please register your interest by sending your resume to Majid Latif via the Apply link on this page.
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