At a Glance
- Tasks: Lead a talented team to create innovative ML/AI solutions for personalised online shopping.
- Company: Join M&S, a dynamic and inclusive leader in the retail industry.
- Benefits: Enjoy 20% discount, competitive holidays, bonuses, and extensive wellbeing support.
- Other info: Be part of a diverse team committed to innovation and excellence.
- Why this job: Shape the future of online shopping and make a real impact on customer experiences.
- Qualifications: Experience in ML/AI and strong leadership skills are essential.
The predicted salary is between 60000 - 80000 £ per year.
M&S has ambitious goals around dramatically increasing the level of Personalisation throughout the online shopping experience, and Data Science is at the heart of that. The Data Science Manager will manage, lead and inspire a talented and experienced team of data scientists to design, develop, and deploy machine learning (ML) and artificial intelligence (AI) solutions which deliver our online Personalisation programme. This role serves as a strategic bridge between Data Science and our Business & Commercial teams, ensuring the effective application of advanced methodologies to achieve measurable and meaningful business outcomes. By fostering innovation, building and supporting a high-performing team, and driving collaboration across functions including Product, Engineering and Data Engineering, the Data Science Manager is key to the success of a major part of M&S’s future.
Who you are
- A collaborative and supportive leader who inspires and develops Data Scientists, creating a culture of openness, learning and excellence in delivery.
- Technically skilled in a wide range of ML/AI methods, with experience turning advanced models into real-world solutions that customers feel and business teams value.
- You have a pragmatic and commercial mindset, ready and willing to consider the full range of technical options available from simple to complex, depending on what’s most appropriate and what will deliver value most effectively.
- Curious and innovative, keeping pace with new ML/AI advancements and applying them to unlock new ways of serving customers.
- An excellent communicator and business partner who can make complex concepts simple, building trust and influence with both technical and commercial partners.
What you will do
- Lead, manage and grow a high-performing Data Science team shaping the future of our online Personalisation programme through seamless model-driven customer experiences.
- Deliver scalable ML/AI solutions end-to-end that step-change how we understand our customers’ shopping intent and deliver personalised online experiences so that customers can easily find what they are looking for and are inspired by new suggestions.
- Partner with product, engineering and commercial teams to embed solutions seamlessly into the customer experience and business processes.
- Set the standard for agile Data Science delivery, testing and model monitoring, ensuring solutions are robust, reliable and impactful.
- Drive innovation and act as a trusted advisor, helping transform how Data Science creates value for our customers and our business.
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.
Legal statements
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.
We are committed to fostering an inclusive and equitable workplace. All qualified candidates are encouraged to apply. We are a British employer. M&S is an equal opportunity employer. We are committed to equal opportunities for all.
Data Science Manager - Personalisation in City of Westminster employer: Marks & Spencer Plc
Marks & Spencer is an exceptional employer that champions innovation and collaboration, particularly in the dynamic field of Data Science. With a commitment to inclusivity and employee development, M&S offers a supportive work culture where you can lead a talented team to create impactful personalised shopping experiences. Enjoy competitive benefits, including generous discounts, flexible working options, and comprehensive wellbeing support, all while contributing to a forward-thinking retail environment that values your contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Data Science Manager - Personalisation in City of Westminster
✨Tip Number 1
Network like a pro! Reach out to current or former employees at M&S on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by brushing up on your ML/AI knowledge. Be ready to discuss how you've turned complex models into real-world solutions. Show them you can bridge the gap between tech and business!
✨Tip Number 3
Practice your storytelling skills! You’ll need to explain complex concepts simply. Think of examples where you’ve inspired teams or driven innovation – this will help you connect with both technical and commercial partners.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of the M&S family.
We think you need these skills to ace Data Science Manager - Personalisation in City of Westminster
Some tips for your application 🫡
Show Your Passion for Data Science:When writing your application, let your enthusiasm for data science shine through! Share specific examples of how you've used ML/AI to solve real-world problems and how that aligns with our goals at M&S.
Tailor Your Application:Make sure to customise your application to highlight the skills and experiences that are most relevant to the Data Science Manager role. We want to see how you can bridge the gap between technical and commercial teams!
Be Clear and Concise:Keep your application straightforward and to the point. Use clear language to explain complex concepts, as we value excellent communication skills. Remember, simplicity is key!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity to shape the future of online personalisation at M&S!
How to prepare for a job interview at Marks & Spencer Plc
✨Know Your Data Science Stuff
Make sure you brush up on your machine learning and AI knowledge. Be ready to discuss specific models you've worked with and how they delivered real-world solutions. M&S is looking for someone who can turn complex concepts into practical applications, so be prepared to explain your thought process.
✨Show Your Leadership Skills
As a Data Science Manager, you'll need to inspire and lead a team. Think of examples where you've successfully managed a team or project. Highlight how you foster collaboration and innovation, and be ready to discuss how you create a culture of openness and learning.
✨Communicate Clearly
You’ll need to bridge the gap between technical and commercial teams, so practice explaining complex data science concepts in simple terms. Use relatable examples to demonstrate your ability to build trust and influence across different functions.
✨Be Curious and Innovative
M&S values curiosity and innovation, so come prepared with ideas on how you would apply new ML/AI advancements to enhance customer experiences. Show that you're not just keeping pace with industry trends but are also eager to push boundaries and drive change.
