> Markdown version of [/jobs/ext/4172628-data-scientist](https://www.wearedevelopers.com/jobs/ext/4172628-data-scientist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - **Company:** Boots UK - **Location:** Nottingham, United Kingdom - **Contract:** Temporary contract - **Skills:** Amazon Web Services, Microsoft Azure, Big Data, Cloud Computing, Computer Programming, Database Queries, Python (Programming Language), Machine Learning, Power BI, Google Cloud, Pytorch, Pandas, Scikit Learn, Information Technology, Data Analytics, Machine Learning Operations, Databricks, Programming Languages - **Published:** October 28, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=758637ef94574232 ## About the Role A degree in a quantitative discipline such as mathematics, statistics, data science, computer science, physics or economics - or equivalent practical experience. A solid understanding of statistical methods and experience applying machine learning techniques in a business context. Programming proficiency with a coding language such as Python. Experience using libraries such as pandas, scikit-learn, PyTorch or similar. Strong SQL skills and experience working with large datasets. The ability to translate business questions into analytical problems. Confidence presenting complex findings in clear, accessible ways to both technical and non-technical audiences. Strong organisation and prioritisation skills, with the ability to balance operational activity and development work. It would be great if you also have Experience in retail, e-commerce, pharmacy, healthcare or another consumer-facing industry. Familiarity with cloud platforms such as AWS, Azure or Google Cloud. Experience with Databricks. An understanding of MLOps practices and model deployment. Knowledge of data visualisation tools such as PowerBI. ## Description Join the award-winning Data Science Innovation team at Boots in Nottingham, where your work will help shape better decisions for customers, colleagues and the business. You'll use rich, large-scale datasets to solve varied challenges across customer behaviour, demand forecasting, segmentation and personalisation. This is a role for someone who enjoys turning complex business questions into practical data science solutions - and seeing those solutions make a real impact. You'll work closely with teams across Boots, communicating your findings clearly and helping to build our data science capability as we continue to make progress together. Key responsibilities Build predictive models and analytical solutions for challenges such as demand forecasting, customer segmentation and product recommendations. Provide deep analytics across a range of business areas, turning data into clear, useful insight. Develop and deploy machine learning models into production environments. Apply statistical and data science techniques to answer business questions and identify opportunities. Work collaboratively with technical and non-technical teams across Boots to understand problems and shape solutions. Communicate findings, recommendations and model outputs in accessible ways for different audiences. Stay current with emerging data science techniques, tools and best practice. Help develop the team's data science capability, including ways of working, methods and standards. Balance operational activity with longer-term development work, prioritising effectively in a varied role.