Data Scientist

Team
Digital & Tech
Store
London Support Office
Location
London, Greater London
Contract type
Permanent
Position type
Full Time
Salary
Competitive + Benefits
Closing date: 30th April 2026
Apply now
Apply now

How We Hire

Everyone is welcome at M&S. No exceptions. It’s your background, abilities and differences that make you, uniquely you. And when you’re part of M&S, that individuality has the potential to make waves.

About the role

This section tells you all you need to know about the position and its responsibilities, outlining everything we hope to see in a successful candidate.

To stay close to our customers and colleagues, our support teams are in the office for at least three days a week as we believe that skills are developed through collaboration, and that spending time together makes us more creative and connected.

Summary
Summary:

We are seeking a talented Data Scientist to join our Enterprise Data Science team, helping to design, build, and deploy machine learning and optimisation solutions that drive measurable business value across the retail value chain. This is a hands-on role for someone who enjoys solving real-world business problems with data, working closely with cross-functional teams, and contributing to scalable, production-ready data science products.
All the details

What will you do:

  • Problem Solving: Apply statistical, machine learning, and optimisation techniques to solve business problems across the retail value chain, supporting use cases such as forecasting, pricing, inventory optimisation, customer decisioning, and operations

  • Problem Framing & Analysis: Work with stakeholders and senior team members to understand business challenges, translate them into tangible data science or machine learning problems, and carry out exploratory analysis, feature engineering, experimentation, and model evaluation

  • Model Development & Productionisation: Design, build, test, and support the deployment and monitoring of robust, scalable data science and machine learning solutions in production environments

  • Cross-Functional Delivery: Collaborate closely with Data Engineers, MLOps, Product Managers, Analysts, and business stakeholders to support the successful delivery, adoption, and embedding of data science solutions

  • Capability Contribution: Contribute to reusable assets, templates, and best practices across the team, while continuously improving your own technical, commercial, and software engineering skills

Who you are:

  • Technical / Data Science / ML: S Strong Python skills across EDA, statistical modelling, ML, experimentation, and model evaluation. Familiarity with production environments is a plus; PySpark or similar distributed frameworks are desirable, and exposure to optimisation techniques is advantageous

  • Problem Solving: Strong analytical and structured problem-solving skills, with the ability to work through ambiguity and apply appropriate data science techniques to deliver insight and value

  • Delivery Mindset: Experience contributing to end-to-end data science projects, with a good understanding of how solutions move from exploration to production and create practical business impact

  • Collaboration & Communication: Comfortable working in cross-functional teams and able to communicate technical concepts, findings, and recommendations clearly to both technical and non-technical audiences

  • Software Engineering & Learning Agility: Good understanding of software engineering fundamentals including version control, modular design, testing, and documentation, combined with a proactive and curious mindset to continuously develop your technical and business understanding

What's in it for you

Being a part of M&S is exactly that – playing your part to bring the magic of M&S to our customers every day. We’re an inclusive, dynamic, exciting, and ever evolving business built on doing the right thing and bringing exceptional quality, value, service to every customer, whenever, wherever and however they want to shop with us.

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

  • After completing your probationary period, you’ll receive 20% colleague discount across all M&S products and many of our third-party brands for you and a member of your household.
  • Competitive holiday entitlement with the potential to buy extra holiday days!
  • Discretionary bonus schemes awarded based on how you achieve your personal objectives and our performance as a business.
  • A generous Defined Contribution Pension Scheme and Life Assurance.
  • A dedicated welcome to our teams with a tailored induction and a wide range of training programmes to develop your skills.
  • Amazing perks and discounts via our M&S Choices portal to maximise your financial and personal wellbeing.
  • Industry-leading parental, adoption and neonatal policies, providing support and flexibility for your family.
  • Access to a fantastic range of wellbeing support for all colleagues including access to our 24/7 Virtual GP and PAM Assist to support you and your family.
  • A charity volunteer day to support a charity or cause you're passionate about through a dedicated day away from work.

Everyone's welcome

We are ambitious about the future of retail. We’re disrupting, innovating and leading the industry into a more conscientious, inspiring digital era. We’re transforming how we work together and offering our most exciting opportunities yet. Marks & Spencer strives to be an inclusive organisation, trusted and admired by our colleagues, customers and suppliers. Join us and make change happen.

We are committed to building diverse and representative teams, where everyone can bring their whole selves to work and be at their best. We support each other and work together to win together.

If you feel you'd benefit from any support or reasonable adjustments during any stage of the recruitment process, please don’t hesitate to let us know when completing your application. This information will be picked up by our team, so we can try and put steps in place to help you be at your best through this process.

#hybridrole #LI-Hybrid #LI-HB1

Meet the Team

digital_thumbnail.jpg
A group of colleagues gathered around a table, smiling and discussing work with laptops open in a modern office setting.

Being an in-person business

We're at our best when we're close to customers, and for many of us at M&S, that means working in store every day.

To stay close to customers, our support teams are in the office three days a week as we believe that skills are developed through collaboration, and that spending time together makes us more creative and connected. It also means we can solve problems as soon as they arise, learn and grow as a team, build trust, and get closer to our colleagues.

Click to skip quote slider carousel
Janak Staff iOS Engineer
Deepak Data Scientist
Halford Head of Technical Program Management

I think all engineers just love solving puzzles and problems. At M&S, we’re constantly learning new things, whether it’s mastering Swift UI or understanding how customers interact with technology. But this is also a business that listens to engineers and values what we bring to the table. That’s different, believe me.

Janak (He / Him) | Staff iOS Engineer Read full story

At M&S, we have Data Scientists, Analysts, and Technical Product Managers, who all share a genuine passion for harnessing data to improve people’s lives. And we’re in a unique position where we can actually help many different kinds of people, from our customers to our colleagues in store and in our support centre.

Deepak (He / Him) | Data Scientist Read full story

Being in third-party brands, working on things M&S hasn’t done before… that plays to my sweet spot. I’ve worked in many organisations throughout my career, and it’s rare to see such cause and effect in your work. The way we’re structured means you’re encouraged to solve problems and you have the autonomy to make progress quickly.

Halford (He / Him) | Head of Technical Program Management Read full story

Make Your Mark

Upcoming projects

Take part in our M&S Digital & Tech team days. Grow your digital and data skills through our BEAM Academy. Or challenge yourself at one of our business-wide hackathons. We also partner with Women in Data, Databricks and Cajigo to increase opportunities for women in digital and data.

Opportunities to be heard

Your voice and your ideas matter here. Our 8 colleague networks are places to find support, listen to each other and encourage debate. You can pitch ideas ‘Straight to Stuart’, our CEO, or get involved in our BIG (Business involvement Group).

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Colleague Networks

We want you to feel supported, no matter what.

Cancer Network

Fostering a supportive and inclusive workplace culture, addressing stigma, providing guidance and raising awareness to empower and assist colleagues affected by cancer.

Forces Community Network

Supporting colleagues connected to the Armed Forces, aiding their transition to civilian life, and ensuring that they thrive in the workplace.

Family & Carers Network

A support network for parents and carers, offering a space for colleagues to share experiences, exchange ideas, and access useful resources.

Culture and Heritage Network

Raising awareness of various religions and cultures through events and comms, to educate others and better represent our M&S colleagues and customers.

Health and Wellbeing Network

Providing a safe space for colleagues with all types of health conditions or disabilities and supporting with business initiatives to ensure our stores are truly accessible for our customers.

Gender Equality Network

Addressing gender-related challenges, raising awareness, and driving action to ensure equal opportunities for all.

LGBTQ+ Network

Proactively representing LGBTQ+ issues and opportunities to deliver a truly inclusive place to work and shop for our colleagues and customers.

Menopause Network

Initiating and encouraging open conversations about menopause by offering support and sharing experiences.

Benefits

How to Apply

Here’s what to expect at each stage of the application process. This can change depending on the role you’ve applied to. If you need any reasonable adjustments made at any stage, let us know and we can help.

Send us your application

Fill in our short application form and hit submit.

Online assessment

Depending on the role you are applying for, you may be invited to do an assessment. Your Talent Acquisition Partner will guide and inform you along the way.

Interview

We'll invite you to join us for an interview. This could be remote or in person. Here, we'll ask you some role based technical questions and examine the behaviours we're looking for. 

Decision

After we’ve made our decision, we’ll be in touch. If you’ve been successful, we’ll officially invite you to join the team and let you know the next steps.

Data Scientist

Team
Digital & Tech
Store
London Support Office
Location
London, Greater London
Contract type
Permanent
Position type
Full Time
Salary
Competitive + Benefits
Closing date: 30th April 2026
Reference: 116640
Apply now