At a Glance
- Tasks: Lead a dynamic Data Science team to enhance online personalisation and customer experiences.
- Company: Join M&S, a forward-thinking retailer committed to innovation and inclusivity.
- Benefits: Enjoy 20% discount, competitive holidays, bonuses, and extensive wellbeing support.
- Other info: Be part of a diverse team driving change in a rapidly evolving industry.
- Why this job: Shape the future of retail with cutting-edge ML/AI solutions that truly impact customers.
- Qualifications: Proven experience in Data Science leadership and strong communication skills.
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 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.
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 - Personalisation employer: Marks & Spencer
Marks & Spencer is an exceptional employer that fosters a collaborative and inclusive work environment, empowering Data Science professionals to lead innovative projects that enhance customer experiences. With a strong commitment to employee growth, competitive benefits including generous discounts, flexible working arrangements, and comprehensive wellbeing support, M&S ensures that every team member can thrive both personally and professionally while contributing to the future of 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. Ask them about their experiences and any tips they might have for landing the Data Science Manager role. Personal connections can give you insights that a job description just can't.
✨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. We want to see your passion for innovation and how you can apply new advancements to enhance customer experiences.
✨Tip Number 3
Showcase your leadership skills! Think of examples where you've inspired and developed teams. M&S values collaboration, so be prepared to share how you've fostered a culture of openness and learning in your previous roles.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. 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 Passion for Data Science:Let us see your enthusiasm for data science in your application! Share specific examples of how you've used ML/AI methods to solve real-world problems. We love hearing about your innovative ideas and how you keep up with the latest advancements.
Tailor Your Application:Make sure to customise your application to highlight how your skills align with our needs. Use keywords from the job description, like 'collaborative leader' and 'agile Data Science delivery', to show us you're the perfect fit for our team.
Be Clear and Concise:We appreciate clarity! When describing your experience and achievements, keep it straightforward and to the point. Avoid jargon unless it's necessary, and remember, we want to understand your impact easily.
Apply Through Our Website:Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about what we do at StudySmarter!
How to prepare for a job interview at Marks & Spencer
✨Know Your ML/AI Stuff
Make sure you brush up on the latest ML and AI methods relevant to the role. Be ready to discuss how you've applied these techniques in real-world scenarios, especially in personalisation projects. This shows you're not just knowledgeable but also practical.
✨Showcase Your Leadership Style
As a Data Science Manager, your leadership skills are crucial. Prepare examples of how you've inspired and developed teams in the past. Highlight your collaborative approach and how you foster a culture of openness and learning.
✨Communicate Complex Ideas Simply
Practice explaining complex data science concepts in layman's terms. This is key for building trust with both technical and commercial partners. Use relatable examples to demonstrate your ability to bridge the gap between data science and business needs.
✨Prepare for Scenario Questions
Expect questions that ask how you'd handle specific challenges in delivering scalable ML/AI solutions. Think about past experiences where you had to make tough decisions or innovate under pressure, and be ready to share those stories.
