At a Glance
- Tasks: Lead a team to deliver machine learning and AI solutions for personalisation.
- Company: Marks & Spencer Plc, enhancing online shopping through data science.
- Benefits: Competitive salary, career development, and a chance to shape retail's future.
- Other info: Collaborative environment with opportunities for professional growth.
- Why this job: Join us to innovate and make a real impact in the retail industry.
- Qualifications: Strong leadership skills and practical experience in ML/AI applications.
The predicted salary is between 60000 - 80000 £ per year.
Marks & Spencer Plc is on a mission to enhance the online shopping experience through data science. We're seeking a Data Science Manager to lead a team that delivers machine learning and AI solutions vital to our personalization strategy. You will act as a bridge between Data Science and commercial teams, ensuring effective methodologies for impactful business outcomes.
The ideal candidate will have strong leadership skills, a practical mindset towards ML/AI applications, and the ability to communicate complex ideas effectively. Join us to shape the future of retail.
Head of Personalisation Data Science employer: Marks & Spencer Plc
Marks & Spencer Plc is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. With a strong commitment to employee growth, we provide ample opportunities for professional development in the rapidly evolving field of data science. Located at the heart of retail, our team enjoys a supportive environment where creativity thrives, making a meaningful impact on the online shopping experience.
StudySmarter Expert Advice🤫
We think this is how you could land Head of Personalisation Data Science
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Marks & Spencer. A friendly chat can open doors and give you insights into their culture and what they really value in candidates.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies that highlight your experience with machine learning and AI solutions. Make sure to include examples of how you've driven impactful business outcomes in previous roles.
✨Tip Number 3
Practice your pitch! Be ready to explain complex data science concepts in simple terms. Remember, you’ll be bridging the gap between technical and commercial teams, so clarity is key!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in being part of the Marks & Spencer team and shaping the future of retail.
We think you need these skills to ace Head of Personalisation Data Science
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Head of Personalisation Data Science role. Highlight your leadership experience and any relevant projects in machine learning or AI that showcase your practical mindset.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about enhancing the online shopping experience through data science. Share specific examples of how you've successfully bridged the gap between technical teams and commercial objectives in the past.
Showcase Your Communication Skills:Since effective communication is key for this role, make sure your application clearly conveys complex ideas in a straightforward manner. We want to see how you can simplify technical jargon for non-technical stakeholders.
Apply Through Our Website:We encourage you to apply directly through our website. This way, we can ensure your application gets the attention it deserves and you can easily keep track of your application status!
How to prepare for a job interview at Marks & Spencer Plc
✨Know Your Data Science Stuff
Make sure you brush up on the latest trends in machine learning and AI. Be ready to discuss specific projects you've worked on, especially those that relate to personalisation. This shows you’re not just a theorist but someone who can apply these concepts practically.
✨Bridge the Gap
Since the role involves acting as a bridge between Data Science and commercial teams, prepare examples of how you've successfully collaborated with non-technical stakeholders. Highlight your communication skills and how you’ve made complex ideas accessible to others.
✨Leadership in Action
Think about your leadership style and be ready to share experiences where you’ve led a team through challenges. Discuss how you motivate your team and ensure everyone is aligned with the business goals, particularly in a fast-paced environment like retail.
✨Impactful Outcomes Matter
Marks & Spencer is focused on impactful business outcomes, so come prepared with metrics or results from your previous work. Show how your data science initiatives have driven real change or improved customer experiences, linking back to their mission of enhancing online shopping.
