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- Tasks: Design and maintain data solutions using machine learning techniques.
- Company: Global luxury fashion platform with a multidisciplinary team.
- Benefits: Attractive benefits package and opportunities for professional growth.
- Why this job: Join a dynamic team and make an impact in the luxury fashion industry.
- Qualifications: 5+ years of experience in data science, proficient in Python and SQL.
- Other info: Located in the UK with a focus on high data quality.
The predicted salary is between 43200 - 72000 £ per year.
A global luxury fashion platform is seeking a Data Scientist to join their multidisciplinary team. In this role, you will design and maintain solutions using statistical and machine learning techniques, collaborating with engineers and analysts.
The ideal candidate will have over 5 years of relevant experience, a strong background in programming languages such as Python and SQL, and a passion for maintaining high data quality.
The position is located in the United Kingdom and offers several attractive benefits.
Senior Data Scientist — ML Product & Insights employer: Farfetch
Contact Detail:
Farfetch Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist — ML Product & Insights
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals 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 projects, especially those involving machine learning and data analysis. 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. Be ready to discuss your experience with Python, SQL, and any relevant statistical techniques. Practising common interview questions can also help you feel more confident.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Senior Data Scientist — ML Product & Insights
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with statistical and machine learning techniques. We want to see how your skills in Python and SQL shine through, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for this role. Share your passion for data quality and how you’ve collaborated with engineers and analysts in the past. Keep it engaging and personal!
Showcase Your Projects: If you’ve worked on any interesting data science projects, make sure to mention them! We love seeing real-world applications of your skills, especially those that demonstrate your problem-solving abilities and creativity.
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 the role. Plus, it’s super easy – just follow the prompts!
How to prepare for a job interview at Farfetch
✨Know Your Data Science Fundamentals
Brush up on your statistical and machine learning techniques. Be ready to discuss how you've applied these in past projects, especially in relation to data quality. This will show your depth of knowledge and passion for the field.
✨Showcase Your Programming Skills
Prepare to demonstrate your proficiency in Python and SQL. You might be asked to solve a coding problem or explain your approach to data manipulation. Practising common algorithms and data structures can give you an edge.
✨Collaborate Like a Pro
Since this role involves working with engineers and analysts, think of examples where you've successfully collaborated in a team. Highlight your communication skills and how you’ve contributed to multidisciplinary projects.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data practices and the specific challenges they face. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
