At a Glance
- Tasks: Use AI and machine learning to create personalised product recommendations.
- Company: Join M&S, a dynamic and inclusive retail leader.
- Benefits: Enjoy discounts, competitive holidays, and wellbeing support.
- Other info: Be part of a diverse team driving innovation in retail.
- Why this job: Make a real impact in the evolving world of retail technology.
- Qualifications: Experience in ML/AI and strong collaboration skills required.
The predicted salary is between 63000 - 77000 £ per year.
- 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 Gen AI 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
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Senior Data Scientist in London employer: Marks & Spencer
Marks & Spencer is an exceptional employer that prioritises inclusivity and employee growth, making it a fantastic place for those looking to thrive in the retail sector. With flexible working hours and a commitment to personal development, employees are encouraged to take ownership of their roles while contributing to a dynamic and supportive work culture. Join us in shaping a greener, more inspiring future in retail, where your contributions truly matter.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist in London
✨Get Involved in Data Science Meetups
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Marks & Spencer.
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We think you need these skills to ace Senior Data Scientist in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Marks & Spencer, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Marks & Spencer. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Marks & Spencer
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Marks & Spencer!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
