Lead Data Scientist in London

Lead Data Scientist in London

London Full-Time 70000 - 90000 £ / year (est.) No working from home possible
Marks and Spencer

At a Glance

  • Tasks: Lead a team to create innovative AI-driven product recommendations and enhance customer experiences.
  • Company: Join M&S, a dynamic leader in retail innovation and digital transformation.
  • Benefits: Enjoy 20% discount, competitive holidays, bonuses, and extensive wellbeing support.
  • Other info: Inclusive culture with opportunities for personal and professional growth.
  • Why this job: Make a real impact on millions of users while shaping the future of retail.
  • Qualifications: Proven experience in ML/AI leadership and strong communication skills.

The predicted salary is between 70000 - 90000 £ per year.

We are seeking a highly skilled and innovative Lead Data Scientist to join our Recommendations team within Customer Data Science. You will be the technical lead of the team 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. This is a high impact hands-on IC role, responsible for defining the technical strategy, implementation and delivery of many of our key online personalised experiences.

What You'll do:

  • IC tech leadership: design, build, test, evaluate, deploy, and monitor machine learning and AI solutions in production, ensuring they are robust, scalable, and aligned to business needs. Includes retrieval, ranking, recommender systems and LLM-based components powering conversational experiences.
  • Developing the team: mentoring and coaching 5 data scientists, creating a high-performing team culture with strong technical standards.
  • Collaboration: with cross-functional partners (Product, Engineering, Design, Delivery) and online business stakeholders to identify opportunities and deliver impactful customer experiences.
  • Building reusable capabilities: identify opportunities to abstract common logic, modules, and functionality across multiple use cases, and convert them into reusable core components, frameworks, and assets.
  • Technical direction and standards: champion best practices in exploratory analysis, experimentation, model development, evaluation, coding standards, testing, documentation, monitoring, and productionisation.

Who you are:

  • Your skills and experience will include a proven track record as a tech lead of a team owning ML/AI problems end-to-end, including LLM based solutions - from framing and modelling through to production deployment, monitoring, and continuous improvement - delivering measurable business impact.
  • You define and instil in the team strong software engineering principles to build robust, scalable ML systems, taking responsibility for performance and reliability in production rather than handing off.
  • Strong systems and architectural experience - identifying repeatable patterns across use cases and abstracting them into reusable components or shared capabilities that improve the scalability and effectiveness of our core algorithms.
  • Working with large-scale datasets and distributed data processing (e.g. Spark), and with modern recommendation or personalisation systems at scale (e.g. large-scale retrieval and ranking architectures, real-time inference, vector representations, approximate nearest neighbour search).
  • Communication skills: strong ability to communicate complex technical concepts, recommendations, and trade-offs clearly and effectively to both technical and non-technical audiences, including senior stakeholders.

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.
  • 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.

Marks and Spencer

Contact Details:

Marks and Spencer Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Lead Data Scientist in London

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Marks and Spencer!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Lead Data Scientist at Marks and Spencer.

Leverage Professional Networks

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 and Spencer.

Apply Directly through Our Website

When you find a suitable opening like Lead Data Scientist at Marks and Spencer, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Lead Data Scientist in London

Machine Learning
Artificial Intelligence
Technical Leadership
Mentoring
Collaboration
Data Processing (e.g. Spark)
Recommendation Systems

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 and 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 and 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 and 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 and 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.