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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, perfect for those passionate about 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 in London employer: Farfetch
Contact Detail:
Farfetch Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist — ML Product & Insights in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the fashion tech space on LinkedIn. A friendly message can go a long way, and who knows, they might just refer you for that Senior Data Scientist role!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects. This is your chance to demonstrate your expertise in Python and SQL, and it’ll definitely catch the eye of hiring managers.
✨Tip Number 3
Prepare for those interviews! Brush up on your statistical knowledge and be ready to discuss how you've maintained data quality in past projects. We want you to shine and show them why you're the perfect fit for their team.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for passionate individuals like you to join our multidisciplinary team.
We think you need these skills to ace Senior Data Scientist — ML Product & Insights in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Python and SQL in your application. We want to see how you've used these languages in real-world scenarios, so don’t hold back on the details!
Data Quality Matters: Since we’re all about maintaining high data quality, share examples of how you’ve ensured data integrity in your past projects. This will show us that you’re not just a tech whiz but also care about the end results.
Collaborative Spirit: We love teamwork! Mention any experiences where you collaborated with engineers or analysts. It’s important for us to know you can work well in a multidisciplinary team.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and get the ball rolling on your journey with us.
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 it's the right fit for you.
