At a Glance
- Tasks: Lead a team to deliver innovative machine learning and AI solutions for online personalisation.
- Company: Marks and Spencer, a leading retail brand focused on customer experience.
- Benefits: Competitive salary, career development opportunities, and a dynamic work environment.
- Other info: Collaborative culture with opportunities to bridge data science and business.
- Why this job: Make a real impact by enhancing customer experiences through cutting-edge technology.
- Qualifications: Strong background in ML/AI and proven leadership skills.
The predicted salary is between 60000 - 80000 £ per year.
Marks and Spencer is seeking a Data Science Manager to lead a talented team in delivering innovative machine learning and AI solutions to enhance online personalisation. This role is crucial in bridging Data Science and business teams, ensuring effective application of methodologies.
The ideal candidate will have a strong background in ML/AI and leadership skills, capable of creating impactful solutions. You will drive collaboration across departments to ensure customer satisfaction and business effectiveness.
Data Science Manager, Personalisation & Customer Experience employer: Marks and Spencer
Marks and Spencer is an excellent employer, offering a dynamic work culture that fosters innovation and collaboration. With a strong commitment to employee growth, you will have access to continuous learning opportunities and the chance to lead a talented team in a vibrant environment focused on enhancing customer experience through cutting-edge technology. Located in a thriving area, Marks and Spencer provides unique advantages such as a supportive community and a focus on work-life balance, making it a rewarding place to build your career.
StudySmarter Expert Advice🤫
We think this is how you could land Data Science Manager, Personalisation & Customer Experience
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Marks and 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 of your past projects, especially those involving machine learning and AI. When you get the chance to chat with hiring managers, let your work speak for itself.
✨Tip Number 3
Practice makes perfect! Get ready for interviews by rehearsing common questions related to data science and leadership. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨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 and Spencer team. Don’t miss out!
We think you need these skills to ace Data Science Manager, Personalisation & Customer Experience
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience in machine learning and AI. We want to see how your background aligns with the role, so don’t hold back on showcasing your technical prowess!
Tailor Your Application:Customise your CV and cover letter to reflect the specific requirements of the Data Science Manager position. We love seeing candidates who take the time to connect their experiences with what we’re looking for.
Be a Team Player:Since this role involves collaboration across departments, share examples of how you’ve successfully worked with others in the past. We value teamwork and want to know how you can contribute to our culture.
Apply Through Our Website:For the best chance of getting noticed, make sure to submit your application through our website. It’s the easiest way for us to keep track of your application and get back to you quickly!
How to prepare for a job interview at Marks and Spencer
✨Know Your Data Science Stuff
Make sure you brush up on your machine learning and AI knowledge. Be ready to discuss specific algorithms, tools, and methodologies you've used in past projects. This will show that you’re not just a leader but also technically savvy.
✨Showcase Your Leadership Skills
Prepare examples of how you've successfully led teams in the past. Think about challenges you faced and how you motivated your team to overcome them. Marks and Spencer will want to see that you can inspire and guide others.
✨Understand the Business Side
Familiarise yourself with Marks and Spencer’s business model and how data science can enhance customer experience. Be ready to discuss how your work can directly impact their goals and improve customer satisfaction.
✨Prepare for Collaboration Questions
Since this role involves bridging teams, think of times when you collaborated with other departments. Be prepared to share how you facilitated communication and drove projects forward, ensuring everyone was on the same page.
