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- Tasks: Analyse financial data and create predictive models to drive business decisions.
- Company: Global luxury fashion marketplace with a focus on innovation.
- Benefits: Flexible working environment and a range of attractive benefits.
- Why this job: Make an impact in the luxury sector using advanced data science techniques.
- Qualifications: 2-3 years experience, quantitative degree, and skills in Python and SQL.
- Other info: Opportunity to work in a dynamic and creative industry.
The predicted salary is between 28800 - 43200 £ per year.
A global luxury fashion marketplace is looking for a Data Scientist to drive financial performance through advanced statistical modeling and machine learning. You will analyze complex financial datasets, develop predictive models, and provide actionable insights to influence strategic decisions.
The ideal candidate has:
- 2-3 years of experience
- A quantitative degree
- Strong skills in Python and SQL
- The ability to translate complex findings into clear recommendations
This position offers a flexible working environment and numerous benefits.
Data Scientist, Commercial Finance & Forecasting in London employer: Farfetch
Contact Detail:
Farfetch Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist, Commercial Finance & Forecasting in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the fashion and finance sectors on LinkedIn. A friendly message can open doors, and who knows, they might just refer you to your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those involving financial datasets. This will give potential employers a taste of what you can do with Python and SQL.
✨Tip Number 3
Prepare for interviews by brushing up on your statistical modelling knowledge. Be ready to discuss how you've used machine learning to drive insights in past roles. Practice makes perfect!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that match your skills. Plus, it’s a great way to ensure your application gets noticed by the right people.
We think you need these skills to ace Data Scientist, Commercial Finance & Forecasting 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 skills in real-world scenarios, especially when it comes to analysing financial datasets.
Be Clear and Concise: When explaining your past projects or experiences, keep it straightforward. We love candidates who can translate complex findings into clear recommendations, so don’t hesitate to showcase that ability!
Tailor Your Application: Don’t just send a generic CV and cover letter. Take the time to tailor your application to this specific role. Mention how your background aligns with driving financial performance and your passion for the fashion industry.
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 this exciting opportunity in our team!
How to prepare for a job interview at Farfetch
✨Know Your Numbers
Brush up on your statistical modelling and machine learning concepts. Be ready to discuss specific projects where you've used Python and SQL to analyse financial datasets. Having concrete examples will show your expertise and help you stand out.
✨Translate Complexity into Clarity
Practice explaining complex data findings in simple terms. The interviewer will want to see how well you can communicate actionable insights. Use examples from your past work to demonstrate this skill, as it’s crucial for influencing strategic decisions.
✨Research the Company
Familiarise yourself with the global luxury fashion marketplace. Understand their business model and recent trends in the industry. This knowledge will not only help you tailor your answers but also show your genuine interest in the role and the company.
✨Prepare Questions
Have a few thoughtful questions ready to ask at the end of the interview. Inquire about the team dynamics, the tools they use for data analysis, or how success is measured in the role. This shows your enthusiasm and helps you gauge if the company is the right fit for you.