Data Scientist – Customer Offers

There has never been a more exciting time to join our digital and technology team! Why? Because we are on a journey that will fundamentally change M&S, and how our customers shop with us both today – and in the future!

As a result, we are looking for a dedicated individual to help us continue to turbocharge data science across 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, 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 a variety of problems such as product & outfit recommendations in fashion, personalised offers for our Sparks loyalty programme, 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!

What’s in it for you

Being a part of M&S is exactly that – becoming a part and playing your part. We’re an inclusive, dynamic, exciting, and always evolving business built on core values.

Here are some of the benefits we offer that make working for M&S just that little bit more special…

• 20% Colleague discount on most things from furniture, fashion and food.
• A first-class welcome to M&S with a tailored induction and a wide range of training schemes to help with your learning and development. Having options to progress is something we’re proud of at M&S.
• Attractive annual bonus, based on company performance and personal objectives.
• Competitive holiday entitlement!
• Amazing perks and discounts via our M&S Choices website. Including GymSave – that offers up to 25% off Gym Memberships and the option to become an M&S Shareholder using our ShareSave & ShareBuy Schemes
• Charity Volunteer Day – A paid day away from work to support your chosen charity.
• A very generous Defined Contribution Pension Scheme and Life Assurance

Every colleague at M&S has access to a fantastic range of wellbeing support – this includes access to our 24/7 Virtual GP, & PAM Assist to support you & your family as well as many other schemes.

What you’ll do

• Use expert knowledge of data science techniques and statistics to regularly deliver complex projects with a robust commercial approach.
• Conduct agile delivery of data science projects – both large and small – that drives business benefit and gives M&S customers a better experience.
• Demonstrate a culture of analytical ‘curiosity’ through innovative, data driven insights on business questions.
• Work alongside Senior & Lead Data Scientist to develop the data science agenda within the D&T.
• Implement a highly visual and commercial approach when delivering data science projects that engages and challenges the thinking of non / less technical audiences. Clearly and concisely communicate data science insight that then gets buy in.

Who you are

• Qualification or equivalent relevant experience in numerate subject (e.g. Machine Learning, Computer Science, Statistics, Physics, Astrophysics, etc).
• Experience in developing and applying machine learning algorithms using Python.
• Proficient with SQL databases.
• Ability to mine large & complex data sets - both structured and unstructured data and including (but not limited to) efficient extraction of data, transformation and application.
• Ability to write production-ready code.
• Useful but not essential: experience using Apache Spark; understanding of ci/cd and unit tests.

Everyone’s welcome

M&S is ready to push boundaries to lead the retail industry into a greener, speedier, more inspiring digital era. That’s why we’re revolutionising how we work and offering our most exciting opportunities yet. There’s never been a better time to be part of our team. Marks & Spencer aims to be an inclusive organisation, trusted and admired by our colleagues, customers and suppliers. Join us and make an immediate impact.

We are proud supporters of Women in Data®.  Connect, engage and belong to the largest free female data community in the UK – visit: www.womenindata.co.uk to join our community