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 make a real impact in the retail industry with innovative data solutions.
- 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 in City of Westminster 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 in a vibrant retail environment, our team enjoys a supportive atmosphere where creativity thrives, making it an ideal place for those looking to make a meaningful impact in the world of online shopping.
StudySmarter Expert Advice🤫
We think this is how you could land Head of Personalisation Data Science in City of Westminster
✨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 that might just set you apart from other candidates.
✨Tip Number 2
Showcase your skills! Prepare a portfolio or case studies that highlight your experience with machine learning and AI solutions. This will help us see how you can contribute to our personalization strategy.
✨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, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Head of Personalisation Data Science 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. We want to see how you can contribute to enhancing the online shopping experience with your skills in machine learning and AI.
Highlight Leadership Experience:As a potential Data Science Manager, it's crucial to showcase your leadership skills. Share examples of how you've successfully led teams or projects in the past, and how you can bridge the gap between data science and commercial teams.
Communicate Clearly:We value clear communication, especially when it comes to complex ideas. Make sure your application is easy to read and understand, demonstrating your ability to convey intricate concepts effectively.
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 ensure you’re considered for this exciting opportunity to shape the future of retail.
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 delivering impactful outcomes.
✨Align with Their Mission
Familiarise yourself with Marks & Spencer's mission to enhance the online shopping experience. Prepare to discuss how your vision for data science aligns with their goals and how you can contribute to shaping the future of retail through innovative solutions.
