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Data Science Graduate Programme 2022

Job ID 5882 Closing Date 29/11/2021 23:55 Location London Contract Full time Hours 40 Salary and Benefits Competitive

What we look for

Tomorrow’s legends are born today. The types of people who know there’s always a better way to work and are willing to work hard at finding it. Those who can’t help but be curious. Who are unapologetically analytical and super adaptable. And who know that a resilient spirit can get you far in retail. Tomorrow’s legends are the ones that know it’s about more than just achieving personal success; it’s about being part of the bigger picture.

Why I chose M&S

"Joining M&S as a Retail Management Graduate was the perfect way for me to begin my journey into the ever-changing world of retail. There’s a real dynamic working environment here and I’ve been exposed to so much already. From different parts of the business to in-store opportunities, I’ve been able to really hone my knowledge and leadership skills through the experiences I’ve had. What amazes me most though is that after only a year here, I’ve worked alongside the CEO, become a source of support for other graduates, and I’m in a job I love. I think it just goes to show how much M&S cares about developing and growing their people.

Joshua, Retail Management Graduate

What we offer

Today, we’re the digitally enabled business that’s shaping the future of retail. Tomorrow? Well, that’s entirely up to you. On our graduate programme, you won’t just learn and earn; you’ll get all the support you need to rise fast and show us the way forward. Because we like to do things a bit differently, the opportunities can start on day one.

Over 18-24 months, you’ll experience up to four different rotations around our business, work alongside people from all kinds of different backgrounds, and discover how to become an expert in your chosen field. Whether it’s fashion; space, range and design; food tech; retail management; data science or software engineering that’s more for you, you’ll find yourself making retail more innovative, ethical and sustainable than ever before.

Pay

Our salaries are competitive and reviewed every year.

Colleague Discount

Receive 20% discount in-store and online for you and a partner or family member.

Holidays

A minimum 28 days’ statutory holiday per year, pro-rata if you’re part time.

Holiday Buy

You can reduce your salary in exchange for up to one contractual week of additional holiday, subject to eligibility and National Living Wage requirements.

Bonus

We have discretionary bonus schemes depending on the role that you do and the performance of our business.

Pension

If you save 3% of your pay into our Pension Saving Plan we will add an extra 6%. More details at www.yourmandspension.com

Life Assurance

Free cover of two times your annual salary up to age 70. If you pay into our Pension Saving Plan we double this to four times.

Sharesave

Allows you to save between £5 and £250 per month for three years with the option to buy shares at a 20% discount – or simply take your savings back.

Sharebuy

Invest between £10 and £180 each month from your gross salary to buy M&S shares and build up an investment.

My Choices

Enjoy savings on everyday costs to holidays, recognise your colleague’s success and get more information and support on your wellbeing & benefits.

Cycle to Work

Hire a bike and accessories through Cycle to Work and save on tax and national insurance.

SmartTech

Buy the latest technology with interest free financing directly from your salary.

Health & Wellbeing

Save money on you and your families medical and dental expenses. Get great discounts on gym memberships, active wear, and health products.

Mental Health Support

Free 24/7 support from our expert health and wellbeing partners PAM Wellbeing - including free counselling and CBT as well as support for your family.

Giving Back

Support charities you care about the most by donating through your pay or even volunteer for them for one day.

Financial Wellbeing

Access to information and support to help you manage your finances from long term savings to managing your debt or money worries.

Celebration Time

Celebration time provides additional time off (up to one day per year) for a special occasion.

Data Science Graduate Programme 2022

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 and e-commerce, it’s a masterclass in technical training, structured mentorship, and 360-feedback. Spanning 18-24 months, you’ll rotate around our business and different data science teams up to four times – each time learning new skills and gaining new experiences. 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 progress your career in M&S. If you’re ready to become an M&S Legend of Tomorrow, it’s time to begin.  

Take your place in our Advanced Data Science team and you’ll find everything you need to begin shaping the world of retail – your way. From access to in-house development programmes, working closely with seasoned scientists and subject matter expertise on verity of advanced AI and machine learning projects, to external Data Science courses that’ll help you become an expert in your field, this is a springboard on to big things.  

What stream will get you started?  

AI and Machine Learning

Join the team designing, engineering and delivering the sophisticated machine learning models, e.g. AI in fashion, personalisation etc, that are making us more digitally enabled than ever before – and be a powerful force behind our award-winning business.  

Statistics & econometrics  

If statistical modelling is your thing, do you like to work with massive data sets to extract meaning patterns and identify new opportunity for the business, there’s no better place to be than in our decision science and experimentation teams with access to a lot of live experiments, e.g. A/B tests, casual inference and advanced analytics, visualisation etc.   

Essential 

  • Successful completion of undergraduate-level courses in linear algebra, probability and calculus including vector calculus, whilst not essential we are interested in candidate who also have a Master degree in science, technology, engineering, mathematics or other relevant fields.  
  • Successful completion of undergraduate-level courses in any of experimental design, statistical modelling, hypothesis testing or econometrics with a 2:1 or higher. 
  • Some experience and enjoyment of programming 
  • Enthusiastic about working in a collaborative and commercially oriented team 

Nice to have 

  • Significant programming experience in any language 
  • Exposure to machine learning  

Become an M&S Legend of Tomorrow. Apply today.  

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