Data Scientist

• 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.

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.

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.

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

• Building predictive models and analytical solutions for challenges such as demand forecasting, customer segmentation, and product recommendations.

• Providing deep analytics in a variety of business areas

• Developing and deploying machine learning models into production environments.

• Applying data science techniques to support analysis questions from the business.

• Communicating findings and recommendations clearly to both technical and non-technical audiences.

• Staying current with emerging techniques and tools in data science and hel