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- Tasks: Use advanced stats to drive decisions and enhance marketing strategies.
- Company: Leading luxury fashion brand in London with a focus on innovation.
- Benefits: Competitive salary, learning opportunities, and a dynamic work environment.
- Why this job: Shape a data-driven future in a fast-paced, collaborative team.
- Qualifications: MSc or PhD in a quantitative field and Python experience required.
- Other info: Join us for impactful model development and continuous learning.
The predicted salary is between 36000 - 60000 £ per year.
A leading luxury fashion brand in London is seeking a Data Scientist to join their Marketing Science team. This role involves using advanced statistical methods to drive business decisions and enhance marketing strategies.
Candidates should have an MSc or PhD in a quantitative field and experience in data science, particularly with Python.
The position emphasizes collaboration, continuous learning, and impactful model development in a fast-paced environment. Join us in shaping a data-driven future!
Data Scientist, Marketing Analytics & AI Modeling in London employer: Burberry
Contact Detail:
Burberry Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist, Marketing Analytics & AI Modeling in London
✨Tip Number 1
Network like a pro! Reach out to current employees in the marketing analytics field, especially those at luxury brands. A friendly chat can give us insights into the company culture and might even lead to a referral.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data science projects, particularly those involving Python and marketing analytics. This will help us demonstrate our expertise and creativity during interviews.
✨Tip Number 3
Stay updated on industry trends! Follow relevant blogs, podcasts, and social media accounts to keep our knowledge fresh. This will not only help us in interviews but also show our passion for continuous learning.
✨Tip Number 4
Apply through our website! It’s the best way to ensure our application gets noticed. Plus, we can tailor our application to highlight how our skills align with the role and the brand's vision.
We think you need these skills to ace Data Scientist, Marketing Analytics & AI Modeling in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data science and any relevant projects you've worked on. We want to see how your skills in Python and statistical methods can drive business decisions, so don’t hold back!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about marketing analytics and how you can contribute to our team. Let us know how your background aligns with the luxury fashion industry.
Showcase Your Collaboration Skills: Since this role emphasises teamwork, mention any experiences where you’ve successfully collaborated with others. We love seeing candidates who can work well in a fast-paced environment and contribute to impactful model development.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Don’t miss out on shaping a data-driven future with us!
How to prepare for a job interview at Burberry
✨Know Your Stats
Brush up on your statistical methods and be ready to discuss how you've applied them in past projects. This role is all about using advanced techniques, so showing your expertise will definitely impress.
✨Python Proficiency
Make sure you can demonstrate your Python skills during the interview. Be prepared to talk about specific libraries you've used, like Pandas or Scikit-learn, and how they helped you solve real-world problems.
✨Collaborative Mindset
Since this position emphasises collaboration, think of examples where you've worked effectively in a team. Highlight how you contributed to group projects and how you value input from others to drive better outcomes.
✨Show Your Passion for Learning
This role is in a fast-paced environment, so express your enthusiasm for continuous learning. Share any recent courses, workshops, or projects that showcase your commitment to staying updated in the field of data science and marketing analytics.
