Want to build yourself a legacy you’ll always be proud of? Our most innovative grad scheme yet is your chance to do just that. Intentionally designed to help you shape the fast-moving world of retail, it’s a masterclass in technical training, structured mentorship, and 360-feedback. Spanning 18-24 months, you’ll rotate around our business up to four times – each time earning, learning and experiencing it all. It’s all about giving you exposure to a variety of projects and the talented people driving them – so you come to realise that there’s infinite ways to the top at M&S. If you’re ready to become an M&S Legend of Tomorrow, it’s time to begin. 
Take your place in our Data Science teams and you’ll find everything you need to begin shaping the world of retail – your way. From access to in-house development programmes to external Decoded Data Science courses that’ll help you become an expert in your field, this is a springboard on to big things. 
Our teams apply data science across the whole business – from solving customer problems like offer personalisation and online recommendation, to enterprise challenges like buying optimisation, sales forecasting, and labour planning. We use a wide variety of the core data science techniques and more to deliver millions of pounds in extra profit to the business every year. Want to be a part of some of the most innovative teams in British retail?
Legends seize the chance to use their strengths every day. That’s why we’re looking to see what makes you tick through the following assessment stages:
We’ll support anyone who requires reasonable adjustments to their application process – just let us know before the assessments start.
Some technical programmes may ask you to complete a short numerical reasoning test or a coding assessment. And most of our assessments are untimed, but we’ll make you aware of any timed elements in advance.
As a tip, avoid overly rehearsing your responses, especially for your video interview. We want you to be bold, be different, and be you.
Job ID: 129007
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