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- Tasks: Develop advanced analytics and machine learning models to enhance business strategy.
- Company: Leading luxury brand with a focus on innovation and data-driven decisions.
- Benefits: Competitive salary, creative work environment, and opportunities for professional growth.
- Why this job: Join a dynamic team and make a real impact in the luxury market with your data skills.
- Qualifications: MSc or PhD in a quantitative field and experience in Python programming.
- Other info: Collaborative culture that values communication and innovative thinking.
The predicted salary is between 36000 - 60000 £ per year.
A leading luxury brand is seeking a Data Scientist to join their Marketing Science team. This role involves developing advanced analytics and machine learning models to enhance business strategy.
The ideal candidate has an MSc or PhD in a quantitative field, experience in data science techniques like Python programming, and excels in communicating complex insights to stakeholders.
Join us to drive data-driven decisions and innovation in a dynamic company culture.
Data Scientist, Marketing Science — Drive Impact with ML in London employer: Burberry
Contact Detail:
Burberry Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist, Marketing Science — Drive Impact with ML in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those involving machine learning. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and practising common data science questions. Be ready to explain your thought process and how you’ve used analytics to drive decisions in past roles.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Scientist, Marketing Science — Drive Impact with ML in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your MSc or PhD in a quantitative field and showcases your experience with data science techniques. We want to see how your skills in Python programming can drive impact in our Marketing Science team!
Showcase Your Projects: Include specific examples of advanced analytics or machine learning models you've developed. We love seeing real-world applications of your work, so don’t hold back on the details that demonstrate your expertise!
Communicate Clearly: Since this role involves sharing complex insights with stakeholders, make sure your application reflects your ability to communicate effectively. Use clear language and avoid jargon where possible – we appreciate straightforwardness!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you’re considered for this exciting opportunity in our dynamic company culture!
How to prepare for a job interview at Burberry
✨Know Your Data Science Stuff
Make sure you brush up on your data science techniques, especially Python programming. Be ready to discuss your previous projects and how you've applied machine learning models to solve real business problems. This will show that you can drive impact with your skills.
✨Communicate Like a Pro
Since the role involves communicating complex insights to stakeholders, practice explaining your past work in simple terms. Use examples that highlight how your analyses influenced decisions. This will demonstrate your ability to bridge the gap between data and strategy.
✨Research the Brand
Dive deep into the luxury brand's values, products, and market position. Understanding their business strategy will help you tailor your answers and show genuine interest in how you can contribute to their marketing science team.
✨Prepare for Scenario Questions
Expect scenario-based questions where you might need to outline how you'd approach a specific data challenge. Think about potential marketing problems they might face and how you would use analytics to address them. This shows your proactive thinking and problem-solving skills.
