At a Glance
- Tasks: Lead a dynamic Data Science team to enhance online personalisation and customer experiences.
- Company: Join M&S, a vibrant and inclusive brand dedicated to quality and service.
- Benefits: Enjoy a 20% discount, competitive holidays, bonuses, and extensive wellbeing support.
- Other info: Embrace a culture of learning and collaboration while driving real change.
- Why this job: Shape the future of online shopping with innovative ML/AI solutions that truly impact customers.
- Qualifications: Proven leadership in Data Science and expertise in ML/AI methods.
The predicted salary is between 60000 - 80000 £ per year.
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 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 are 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 a 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.
Our Commitment to Diversity
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 let us know when completing your application.
Data Science Manager - Personalisation employer: MARKS&SPENCER
Joining M&S as a Data Science Manager means becoming part of a vibrant and inclusive culture that prioritises collaboration, innovation, and personal growth. With competitive benefits such as a generous colleague discount, flexible holiday options, and comprehensive wellbeing support, you will thrive in an environment that values your contributions and encourages professional development. M&S is dedicated to creating exceptional customer experiences through cutting-edge technology, making it an exciting place for those passionate about data science and its impact on retail.
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 employees at M&S on LinkedIn or through mutual connections. A friendly chat can give you insider info and might just get your foot in the door.
✨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 us how you can make a difference!
✨Tip Number 3
Don’t just talk about your skills; demonstrate them! Bring examples of your past work, especially those that showcase your ability to lead teams and deliver impactful results. We love seeing your work in action!
✨Tip Number 4
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. Let’s make magic happen together!
We think you need these skills to ace Data Science Manager - Personalisation
Some tips for your application 🫡
Show Your Leadership Style:When writing your application, let us see your collaborative and supportive leadership style shine through. Share examples of how you've inspired and developed teams in the past, as we value a culture of openness and learning.
Highlight Your Technical Skills:Make sure to showcase your technical skills in ML/AI methods. We want to know how you've turned advanced models into real-world solutions, so include specific projects or experiences that demonstrate your pragmatic and commercial mindset.
Communicate Clearly:As an excellent communicator, it's crucial to make complex concepts simple in your application. Use clear language and relatable examples to build trust and influence, showing us how you can partner effectively with both technical and commercial teams.
Emphasise Innovation:We love curiosity and innovation! In your application, share how you've kept pace with new advancements in ML/AI and applied them to unlock new ways of serving customers. This will show us your drive to transform Data Science into real value for our business.
How to prepare for a job interview at MARKS&SPENCER
✨Showcase Your Leadership Style
As a Data Science Manager, it's crucial to demonstrate your collaborative and supportive leadership style. Prepare examples of how you've inspired and developed teams in the past, focusing on creating a culture of openness and excellence.
✨Highlight Technical Skills with Real-World Examples
Be ready to discuss your technical expertise in ML/AI methods. Share specific instances where you've turned advanced models into practical solutions that delivered value to customers and business teams, showcasing your pragmatic mindset.
✨Communicate Complex Concepts Simply
Since you'll be working with both technical and commercial partners, practice explaining complex data science concepts in simple terms. This will help build trust and influence during the interview, showing that you can bridge the gap between tech and business.
✨Demonstrate Your Curiosity and Innovation
Stay updated on the latest advancements in ML/AI and be prepared to discuss how you've applied new techniques to enhance customer experiences. Show your curiosity and innovative thinking by suggesting potential improvements or ideas relevant to the company's personalisation programme.
