Firstly, thank you for visiting us at either the online or live Data Science Festival - we hope you loved our content!

Thanks for showing curiosity about working for M&S, there has never been a more exciting time to join our digital and data team! Why? Because we are at the start of a journey that will fundamentally change our business, and how our customers shop with us both today – and in the future.

As a result, we are looking for dedicated individuals to help us continue to turbocharge data science at M&S.

The community is dedicated to building end-to-end AI and machine learning solutions in retail and e-commerce. This helps our colleagues in Food, Clothing & Home, Fashion, Marketing, Loyalty, Supply Chain, Growth and Customer Services to drive value from data and build personalised experiences for our customers.

We apply powerful machine learning techniques to seek a variety of problems such as outfit recommendations in fashion, personalised offers for our loyalty program, pricing optimisation, demand forecasting for supply chain, product waste management for retail, and AI powered campaigns for our marketing.

So, if you’d like to be part of a team that is already making a difference, and help us transform into an outstanding data driven organisation, we’d love to hear from you!

Our stack and capabilities:

• Python data science stack (numpy, scipy, scikit-learn, plotting libraries etc.).
• SQL to retrieve and manipulate data.
• Distributed computing tools for large data (spark, dask etc.).
• A/B testing and other statistical techniques.
• Deploying ML models into production encompassing coding standards and testing.
• Innovate and conceptualise new applications for Data Science within M&S.

What we offer:

• Competitive salary
• Discounted shares
• Group bonus scheme
• Great pension scheme
• 20% colleague discount
• Generous holiday
• Benefits such as holiday buy, discounts on technology, and cycle to work

So, if you're interested in a career at M&S, please apply below and register your interest. We look forward to hearing from you!

#LI-DNI #LI-DNP