At a Glance
- Tasks: Create innovative data products that boost company competitiveness in luxury analytics.
- Company: Join FARFETCH, a leader in AI-powered luxury analytics with a diverse team.
- Benefits: Enjoy flexible hours, family health insurance, and training opportunities on Udemy.
- Other info: Be part of an inclusive workplace that celebrates diversity and fosters growth.
- Why this job: Make an impact in the luxury sector while working with cutting-edge AI technology.
- Qualifications: 5+ years in data science, skilled in SQL, Python, and machine learning frameworks.
The predicted salary is between 60000 - 84000 £ per year.
FARFETCH is seeking a Data Scientist to join its team in the United Kingdom. As part of a multidisciplinary group, you will develop strategic data products that enhance the company's competitiveness.
Candidates should have at least 5 years of experience in data science, proficiency in SQL, Python, and machine learning frameworks like TensorFlow.
The role offers:
- Flexible working hours
- Health insurance for the entire family
- Training opportunities with Udemy
- And more
An inclusive workplace where diversity is celebrated.
Senior Data Scientist, AI-Powered Luxury Analytics employer: Farfetch
FARFETCH is an exceptional employer that champions innovation and inclusivity, making it a fantastic place for a Senior Data Scientist to thrive. With flexible working hours, comprehensive health insurance for families, and access to training opportunities through Udemy, employees are empowered to grow both personally and professionally in a dynamic and supportive environment. Join a multidisciplinary team where your contributions will directly enhance the company's competitive edge in the luxury analytics space.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist, AI-Powered Luxury Analytics
✨Tip Number 1
Network like a pro! Reach out to current or former employees at FARFETCH on LinkedIn. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data science projects, especially those involving SQL, Python, and machine learning. This will help you stand out during interviews.
✨Tip Number 3
Practice makes perfect! Brush up on common data science interview questions and coding challenges. We recommend using platforms like LeetCode or HackerRank to sharpen your skills.
✨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 joining the FARFETCH team.
We think you need these skills to ace Senior Data Scientist, AI-Powered Luxury Analytics
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Senior Data Scientist. Highlight your experience with SQL, Python, and machine learning frameworks like TensorFlow. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how you can contribute to our team at FARFETCH. We love seeing genuine enthusiasm and creativity.
Showcase Your Projects:If you've worked on any relevant projects, make sure to mention them! Whether it's a personal project or something from your previous job, we want to see how you've applied your skills in real-world scenarios.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. Let's get started!
How to prepare for a job interview at Farfetch
✨Know Your Data Science Stuff
Make sure you brush up on your SQL, Python, and machine learning frameworks like TensorFlow. Be ready to discuss specific projects where you've applied these skills, as they'll want to see how you can contribute to their strategic data products.
✨Showcase Your Problem-Solving Skills
Prepare to talk about complex problems you've solved in the past. Use the STAR method (Situation, Task, Action, Result) to structure your answers, highlighting how your analytical skills made a difference in your previous roles.
✨Understand FARFETCH's Business Model
Do your homework on FARFETCH and its position in the luxury market. Knowing their competitors and how data science can enhance their competitiveness will show that you're genuinely interested in the role and the company.
✨Emphasise Team Collaboration
Since you'll be part of a multidisciplinary group, be prepared to discuss how you've successfully collaborated with others in the past. Share examples of how you’ve worked with different teams to achieve common goals, as this aligns with their inclusive workplace culture.
