Data Scientist

Job Description

Role: Data Scientist
Contract: 12 Month Fixed Term
Shift pattern: Full Time
Closing date:
Recruitment Partner: Matthew Nelligan

What you'll be doing
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.

• 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.

• 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 athttp://boots.jobs/rewards. Exclusions may apply; eligible roles only. Please note that any salary estimates provided on third-party sites are not endorsed by Boots and may not be accurate.
A bit about us
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.
What’s next?
If you apply, our team will be in touch to let you know the outcome of your application or to arrange next steps. Where a role is advertised as full-time, we are open to discussing part-time and job share options. If you require additional support as part of the application and interview process, we are happy to provide reasonable adjustments to help you be at your best.

Boots is a Ban the Box employer and will consider the suitability of applicants with criminal convictions on a case-by-case basis.
We hope to hear from you soon.
Be brilliant with Boots.
 

Keywords

• Closing date: 13-Nov-2026
• Business Area: Support Office
• Function: Digital
• Shift pattern: Full time - weekdays
• Hours per week: 37.5
• Latitude,longitude 1: 52.927182,-1.183948
• Shift Pattern to display to candidates (displayed externally). Please select one:: Weekdays
• Airport: No
• Should this appear on the No7 Beauty Company website?: No
• Company: Non Stores
• Division: Non Stores
• Should this vacancy be excluded from being posted onto the Boots.jobs career site?: No
• Region: East Midlands
• Area: East Midlands (non stores)
• Store: Nottingham Support Office
• Req Posted Date: 28-Oct-2026
• Country: UK
• Address 1: Recruitment Service Centre (D94)
• Address 2: Thane Road
• Address 3: Nottingham
• Post Code: NG90 1BS
• Source: Boots