Senior 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: 17th July 2026
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 highly skilled and innovative Senior Data Scientist to join our Recommendations team within Customer Data Science, building the next generation of personalised product recommendations, outfit suggestions, and our AI Stylist conversational experiences, to help millions of users find products that they will love. Your work will directly drive higher customer satisfaction, conversion rates, and commercial impact as part of M&S’s digital transformation.
Due to high interest, this role may close earlier than advertised. We recommend applying as soon as possible
All the details
What You’ll do
Your key accountabilities will include
Use machine learning, recommender systems, and LLM-powered conversational AI to deliver deeply personalised product and outfit recommendations.
Design, develop, and productionise end-to-end ML and GenAI systems, including retrieval, ranking, and LLM-based components powering conversational experiences
Design and develop frameworks for evaluating LLM outputs (e.g. relevance, grounding, safety, and user satisfaction) and integrate them into continuous experimentation pipelines.
Partner cross-functionally to deliver production-ready solutions aligned to product and commercial goals.
Contribute to best practices in model development, deployment, and monitoring across the team.
Who you are
Your skills and experience will include
Proven track record of owning ML/AI problems end-to-end — from framing and modelling through to production deployment, monitoring, and continuous improvement — delivering measurable business impact.
Applies strong software engineering principles to build robust, scalable ML systems, taking responsibility for performance and reliability in production rather than handing off.
Experience working with large-scale datasets and distributed data processing (e.g. Spark), and with modern recommendation or personalisation systems (e.g. large‑scale retrieval and ranking architectures, real-time inference, vector representations, approximate nearest‑neighbour search) at scale.
Strong collaborator and communicator, comfortable working across Product, Engineering, and business teams.
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
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.
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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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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.
Senior 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: 17th July 2026
- Reference: 121373