Data Scientist

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.

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.

In this role, you’ll have the opportunity to broaden your experience across multiple high-impact data science use cases, from forecasting and customer insight through to personalisation and production machine learning. You’ll be supported by a collaborative Nottingham-based team that values curiosity, ownership and learning, with space to build your technical depth, strengthen your stakeholder influence and help shape how data science creates value at Boots.

You’ll also be part of a business that believes in developing its people - giving you the trust, support and opportunity to grow your brilliance further while contributing to work that matters for customers and colleagues every day.

Rewards designed for you

Boots Retirement Savings Plan

Discretionary annual bonus

Generous employee discounts

Enhanced maternity/paternity/adoption leave pay and gift card for anyone expecting or adopting a child

Flexible benefits scheme

including option to buy additional holiday, discounted gym membership, life assurance, activity passes and much more.

Access to free, 24/7 counselling and support through TELUS Health, our Employee Assistance Programme.

There’s lots more in our benefits and discounts, MyBoosts - there to give you that little lift in your everyday. Find out more at

At Boots, we’re proud to be an equal opportunity employer, creating a place where everyone feels welcome, supported and free to be themselves. We believe that when our people feel valued and included, they thrive, so we’re committed to creating a brilliant Boots for our people so they can make a difference for our customers and colleagues every time.