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- Tasks: Use advanced analytics to enhance customer understanding and build machine learning models.
- Company: Leading luxury brand in Greater London with a focus on innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Join a dynamic team and make impactful decisions using data.
- Qualifications: Advanced degree and experience in data science, strong Python skills required.
- Other info: Collaborate with stakeholders to improve business strategies in a vibrant environment.
The predicted salary is between 43200 - 72000 £ per year.
A leading luxury brand in Greater London is seeking a Data Scientist to enhance customer understanding using advanced analytics. You will build and deploy machine learning models and collaborate with stakeholders to improve business strategies. Ideally, you possess an advanced degree and experience in the field, along with a strong command of Python. Join a dynamic team committed to leveraging data for impactful decisions.
Data Scientist – Personalization & Customer Insights employer: Burberry
Contact Detail:
Burberry Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist – Personalization & Customer Insights
✨Tip Number 1
Network like a pro! Reach out to current employees at the luxury brand or similar companies on LinkedIn. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your machine learning projects and data analysis work. We want to demonstrate how our experience aligns with their needs, especially in personalization and customer insights.
✨Tip Number 3
Practice makes perfect! Get ready for those technical interviews by brushing up on Python and machine learning concepts. We can even do mock interviews together to boost our confidence!
✨Tip Number 4
Apply through our website! It’s the best way to ensure our application gets noticed. Plus, we can tailor our submission to highlight how we can enhance customer understanding for the brand.
We think you need these skills to ace Data Scientist – Personalization & Customer Insights
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Python and any machine learning models you've built. We want to see how your skills can enhance our customer insights!
Tailor Your Application: Don’t just send a generic CV! Customise your application to reflect how your background aligns with the role of Data Scientist at our luxury brand. We love seeing candidates who understand our mission.
Be Clear and Concise: When writing your cover letter, keep it straightforward. We appreciate clarity and directness, so get to the point about why you’re the perfect fit for us!
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 don’t miss out on any important updates!
How to prepare for a job interview at Burberry
✨Know Your Data Science Stuff
Make sure you brush up on your data science fundamentals, especially around machine learning models. Be ready to discuss your past projects and how you've used Python to solve real-world problems. This will show that you not only understand the theory but can also apply it effectively.
✨Understand the Brand
Research the luxury brand thoroughly. Understand their customer base and how data insights can enhance their strategies. Being able to speak about how your skills can directly impact their business will set you apart from other candidates.
✨Prepare for Stakeholder Collaboration
Since the role involves working with various stakeholders, think of examples where you've successfully collaborated in the past. Be ready to discuss how you communicate complex data insights in a way that's easy for non-technical team members to understand.
✨Ask Insightful Questions
Prepare some thoughtful questions to ask during the interview. This could be about their current data initiatives or how they envision the role evolving. It shows you're genuinely interested and have done your homework, which is always a plus!
