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. 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.
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 employer: Marks & Spencer Plc
Marks & Spencer is an exceptional employer, offering a vibrant and inclusive work culture that prioritises innovation and collaboration. As a Data Science Manager, you will lead a talented team in shaping the future of online personalisation, with access to extensive training programmes, competitive benefits, and a commitment to employee wellbeing. Join us to make a meaningful impact while enjoying perks like a generous discount, flexible working policies, and opportunities for personal growth in a dynamic retail environment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Science Manager - Personalisation
✨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 applied these methods in real-world scenarios. Show them you can turn complex concepts into simple solutions!
✨Tip Number 3
Don’t just focus on your technical skills; highlight your leadership and collaboration experience too. M&S is looking for someone who can inspire a team and work well with others, so share examples of how you've done this.
✨Tip Number 4
Finally, 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
Some tips for your application 🫡
Show Your Passion for Data Science:Let us see your enthusiasm for data science and personalisation! Share specific examples of projects you've worked on that highlight your skills in ML/AI. This will help us understand how you can contribute to our ambitious goals.
Tailor Your Application:Make sure to customise your application to reflect the job description. Highlight your experience in leading teams and delivering impactful solutions, as well as your ability to collaborate with different functions. We love seeing candidates who align with our values!
Be Clear and Concise:When writing your application, keep it straightforward. Use clear language to explain your achievements and how they relate to the role. We appreciate a well-structured application that gets straight to the point!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!
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 can be applied to personalisation in retail. M&S is looking for someone who can turn complex concepts into real-world solutions, so have examples ready!
✨Show Your Leadership Skills
As a Data Science Manager, you'll need to inspire and lead a team. Think about times when you've successfully managed a project or mentored someone. Be prepared to share how you foster collaboration and innovation within your team.
✨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 how your work has positively impacted business outcomes.
✨Be Curious and Innovative
M&S values curiosity and innovation, so come prepared with ideas on how to apply new ML/AI advancements to enhance customer experiences. Show that you're not just keeping pace with trends but are also thinking ahead about how to leverage them effectively.
