Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop machine learning systems for wine exchange and tackle complex NLP challenges.
- Company: Leading wine data platform with a focus on innovation.
- Benefits: Competitive salary, flexible hours, and opportunities for professional growth.
- Why this job: Make a significant impact in the fine wine trading landscape with your skills.
- Qualifications: Strong Python and SQL skills, plus a background in machine learning.
- Other info: Join a dynamic team passionate about wine and technology.
The predicted salary is between 36000 - 60000 £ per year.
A leading wine data platform is seeking a Data Scientist to develop machine learning systems that empower their wine exchange. You will tackle complex challenges in NLP and recommendation systems while building production-grade solutions. This role focuses on designing models, maintaining recommendations, and developing forecasting systems.
The ideal candidate has strong Python and SQL skills, a solid background in machine learning, and a degree in a quantitative field. Join us to impact the fine wine trading landscape significantly.
Data Scientist: NLP & Forecasting for Wine Market employer: Liv-ex Ltd
Contact Detail:
Liv-ex Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist: NLP & Forecasting for Wine Market
✨Tip Number 1
Network like a pro! Reach out to people in the wine and data science industries on LinkedIn. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your NLP and forecasting projects. This is your chance to shine and demonstrate how you can tackle complex challenges.
✨Tip Number 3
Prepare for interviews by brushing up on your Python and SQL skills. Be ready to discuss your past projects and how they relate to building production-grade solutions.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who take the initiative to connect directly with us. It shows you're serious about joining the team!
We think you need these skills to ace Data Scientist: NLP & Forecasting for Wine Market
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your Python and SQL skills in your application. We want to see how you’ve used these tools in real-world projects, especially in machine learning and NLP.
Tailor Your Application: Don’t just send a generic CV! Tailor your application to the role by mentioning specific experiences that relate to developing forecasting systems and recommendation models. We love seeing how you connect your background to our needs.
Be Clear and Concise: When writing your cover letter, keep it clear and to the point. We appreciate straightforward communication, so make sure you articulate your passion for data science and the wine market without fluff.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to track your application and ensure it reaches the right people!
How to prepare for a job interview at Liv-ex Ltd
✨Know Your NLP and Forecasting
Make sure you brush up on your knowledge of natural language processing and forecasting techniques. Be ready to discuss specific projects where you've applied these skills, as well as the challenges you faced and how you overcame them.
✨Showcase Your Python and SQL Skills
Prepare to demonstrate your proficiency in Python and SQL during the interview. You might be asked to solve a coding problem or explain how you've used these languages in past projects, so have some examples ready that highlight your technical expertise.
✨Understand the Wine Market
Familiarise yourself with the wine market and current trends. Being able to discuss how data science can influence wine trading will show your genuine interest in the role and the industry, making you stand out as a candidate.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data strategies and future projects. This not only shows your enthusiasm for the role but also helps you gauge if the company aligns with your career goals and values.