What youll be doing
Were looking for a passionate Data Scientist to join the award-winning Data Science Innovation team in our Nottingham office.
Youll work on diverse challenges across our departments, from understanding customer behaviour to forecasting demand and personalising the shopping experience.
This is an opportunity to work with rich datasets at scale and see your work build
growth.
If youre numerate, logical, and curious about customer behaviour, wed love to hear from you.
Key responsibilities
Youll work with a variety of teams across the business to provide solutions where data science can create value.
Your role will involve:
* Build predictive models and analytical solutions for challenges such as demand
* forecasting, customer segmentation, and product recommendations.
* Provide deep analytics in multiple departments
* Develop machine learning models into prodction environments.
* Apply data science techniques to support analysis questions from the business.
* Communicate recommendations to both technical and non-technical audiences.
* Stay current with latest techniques and tools in data science and developing our capabilities and best practices.
What youll need to have (our must-haves)
* A degree in a quantitative discipline such as mathematics, statistics, data science, computer science, physics, or economics (or equivalent practical experience).
* Experience with statistical methods, and experience applying machine learning techniques in a business context.
* Programming proficiency with a coding language such as Python, with experience using libraries such as pandas, scikit-learn, PyTorch or similar.
* Experience working with SQL and handling large datasets.
* The ability to translate business questions into analytical problems and present complex findings in accessible ways.
* The skills to organise and prioritise workload, balancing operational activity and development.
It would be great if you also have
* Experience in retail, e-commerce, pharmacy, healthcare, or consumer-facing industries.
* Familiarity with cloud platforms such as AWS, Azure, or Google Cloud and Databricks.
* Understanding of MLOps practices and model deployment.
* Knowledge of data visualisation tools such as PowerBI
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.
Theres lots more in our benefits and discounts, MyBoosts - there to give you that little lift in your everyday. Find out more at boots.jobs/rewards. Exclusions may apply; eligible roles only.
About The Boots Group
The Boots Group is a trusted leader in healthcare, pharmacy and retail, operating across 11 countries - including the UK, Ireland, Thailand and Mexico. The Boots Group brands - including Boots, Boots Opticians, No7 Beauty Company, Farmacias Benavides and Alliance Healthcare - are trusted and well recognised healthcare and beauty businesses, serving millions of customers and patients every day in communities around the world. We are proud to be an equal opportunity employer, passionate about embracing the diversity of our colleagues and providing a positive and inclusive working environment for all.
Whats next
If you apply, our team will be in touch to let you know the outcome of your application or to arrange next steps. We advertise a role as full-time, and we are open to discussing part-time and job share options during the application process. If you require additional support as part of the application and interview process, we are happy to provide reasonable adjustments to help you to be at your best.
This role requires you to complete a Pre-employment check after receiving an offer. Depending on your location, we will ask you to submit either a DBS (Disclosure & Barring Service), PVG (Protection of Vulnerable groups) or an Access NI Check.
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.