Data Science Manager in London

Data Science Manager in London

London Full-Time 60000 - 80000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Lead a Data Science team to deliver impactful analytics and AI solutions.
  • Company: Join M&S, a dynamic and inclusive leader in the retail industry.
  • Benefits: Enjoy a 20% discount, competitive holidays, and generous pension schemes.
  • Other info: Access to wellbeing support and opportunities for personal growth.
  • Why this job: Make a real difference by driving innovation and collaboration in data science.
  • Qualifications: Experience in data science leadership and strong communication skills.

The predicted salary is between 60000 - 80000 £ per year.

Who you are

Lead and develop a Data Science team to deliver high-quality analytics, ML, and AI solutions that support operational and colleague-facing products. Enable the delivery of data science use cases end to end, ensuring solutions address real business problems and deliver measurable value. Translate business requirements into well-defined data science problems, aligned to M&S priorities and decision-making needs. Champion excellent data science practices, ensuring solutions are scalable, well-documented, and production-ready. Contribute to building a best-in-class data science culture, promoting collaboration, innovation, and continuous improvement.

What you will do

  • Provide strong day-to-day leadership and coaching to Data Scientists, supporting technical growth, career development, and a positive learning mindset.
  • Plan and prioritise work effectively, balancing demand across multiple initiatives through clear resource planning and workload management.
  • Guide the team on appropriate methodologies and ML/AI techniques, embedding robust testing, validation, and monitoring into all solutions.
  • Work closely with product, data engineering, analytics, and MLOps teams to ensure solutions are seamlessly integrated and supported in production.
  • Communicate clearly with non-technical stakeholders, explaining complex concepts simply and demonstrating the business value of data science outcomes.

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.

Data Science Manager in London employer: M&S

M&S in Scarborough is an exceptional employer that values innovation and leadership, offering a dynamic work culture where your contributions directly impact the customer experience. With a strong focus on employee development and the integration of digital tools, you will have ample opportunities for growth and to inspire your team in delivering outstanding service. Join us to be part of a transformative journey in the retail sector, where your bold decisions can lead to meaningful change.

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Contact Details:

M&S Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Science Manager in London

Tip Number 1

Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.

Tip Number 2

Prepare for interviews by practising common data science questions and scenarios. We recommend doing mock interviews with friends or using online platforms to get comfortable with articulating your thoughts.

Tip Number 3

Showcase your projects! Create a portfolio that highlights your best work in analytics, ML, and AI. This will not only impress potential employers but also give you confidence when discussing your experience.

Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!

We think you need these skills to ace Data Science Manager in London

Leadership
Coaching
Data Science
Machine Learning (ML)
Artificial Intelligence (AI)
Analytical Skills
Problem-Solving Skills

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the Data Science Manager role. Highlight your experience in leading teams, delivering analytics solutions, and any relevant ML/AI projects. We want to see how your skills align with what we’re looking for!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about data science and how you can contribute to our team. Don’t forget to mention your leadership style and how you foster collaboration and innovation.

Showcase Your Problem-Solving Skills:In your application, give examples of how you've translated business requirements into data science solutions. We love seeing real-world applications of your skills, so share specific use cases where you’ve delivered measurable value.

Apply Through Our Website:We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and keep track of it. Plus, you’ll get all the latest updates on your application status!

How to prepare for a job interview at M&S

Know Your Data Science Fundamentals

Brush up on your data science fundamentals, especially around machine learning and AI techniques. Be ready to discuss how you've applied these in real-world scenarios, as this will show your practical understanding and ability to lead a team effectively.

Prepare for Leadership Questions

Expect questions about your leadership style and how you support the growth of your team. Think of specific examples where you've coached or mentored others, and be prepared to explain how you foster a positive learning environment.

Understand the Business Context

Familiarise yourself with the business priorities of Marks & Spencer. Be ready to translate data science concepts into business value, demonstrating how your solutions can address real problems and contribute to the company's goals.

Practice Clear Communication

Since you'll need to communicate complex ideas to non-technical stakeholders, practice explaining your past projects in simple terms. This will help you convey the impact of your work and ensure everyone understands the value of data science outcomes.