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For Companies At a Glance
- Tasks: Join a dynamic team to enhance luxury fashion search and ranking algorithms.
- Company: Farfetch, a global leader in luxury fashion e-commerce.
- Benefits: Competitive salary, vibrant work environment, and opportunities for professional growth.
- Why this job: Make a real impact on how millions discover luxury fashion online.
- Qualifications: Experience in data science and a passion for understanding user behaviour.
- Other info: Collaborate with tech professionals in a welcoming and innovative atmosphere.
The predicted salary is between 30000 - 50000 £ per year.
About Farfetch
Farfetch is a leading global marketplace for the luxury fashion industry. The Farfetch Marketplace connects customers in over 190 countries and territories with items from more than 50 countries and over 1,400 of the world's best brands, boutiques, and department stores, delivering a truly unique shopping experience and access to the most extensive selection of luxury on a global marketplace.
Porto
Our office is near Porto, in the north of Portugal, and is located in a vibrant business hub. It offers a dynamic and welcoming environment where our employees can connect and network with a large community of tech professionals.
Technology
We're on a mission to build end-to-end products and technology that powers an incredible e-commerce experience for luxury customers everywhere, understanding the motivations and needs of our customers and partners, to designing and testing hypotheses, to creating industry-leading experiences for luxury customers.
The Role
We are seeking a highly motivated Data Scientist to join our Search & Rankings team within the Consumer Products domain. This team is responsible for the core discovery experience that connects millions of luxury fashion lovers with items from over 1,400 of the world's best brands.
You will work in a dynamic, interdisciplinary team alongside Software Engineers and Machine Learning Engineers. While our MLEs focus on building robust MLOps pipelines and scaling infrastructure, your focus will be on the "brain" of the system: deeply understanding user intent, designing complex ranking logic, and proving value through rigorous experimentation.
One of your primary focus areas will be Rankings. Advancing our Learning to Rank (LTR) approaches for Brand, Category, and Search PLPs.
Data Scientist (Search & Rankings) in London employer: Farfetch
Contact Detail:
Farfetch Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist (Search & Rankings) in London
✨Tip Number 1
Network like a pro! Connect with folks in the industry on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Prepare for those interviews by practising common data science questions and scenarios. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format and types of questions you might face.
✨Tip Number 3
Showcase your skills through projects! Create a portfolio that highlights your work in data science, especially anything related to search algorithms or ranking systems. This will give you an edge and demonstrate your hands-on experience.
✨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 genuinely interested in joining our team.
We think you need these skills to ace Data Scientist (Search & Rankings) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Scientist role. Highlight relevant experience, especially in data analysis and machine learning, and don’t forget to showcase any projects that demonstrate your skills in ranking algorithms or user intent understanding.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you’re passionate about luxury fashion and how your background makes you a perfect fit for our Search & Rankings team. Be genuine and let your personality come through!
Showcase Your Technical Skills: We want to see your technical prowess! Include specific tools and technologies you’ve worked with, especially those related to MLOps and data science. If you’ve got experience with Learning to Rank approaches, make sure to highlight that!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team at Farfetch!
How to prepare for a job interview at Farfetch
✨Know Your Data
Make sure you brush up on your data analysis skills and be ready to discuss your experience with data manipulation and statistical methods. Familiarise yourself with common tools and languages like Python, R, or SQL, as well as any specific technologies mentioned in the job description.
✨Understand User Intent
Since the role focuses on understanding user intent, think about how you can demonstrate your knowledge of customer behaviour and preferences. Prepare examples of how you've used data to inform decisions or improve user experiences in previous roles.
✨Experimentation is Key
Be ready to talk about your experience with A/B testing and other experimental methodologies. Highlight any projects where you designed experiments to test hypotheses, and be prepared to discuss the outcomes and what you learned from them.
✨Collaborate and Communicate
This role involves working closely with engineers and other team members, so showcase your teamwork skills. Think of examples where you've successfully collaborated on projects, and be ready to discuss how you communicate complex data insights to non-technical stakeholders.
