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- Tasks: Create and enhance demand forecasting models using Python and SQL.
- Company: Leading UK wine company with a focus on innovation.
- Benefits: Competitive salary, hybrid work model, and numerous perks.
- Why this job: Join a dynamic team and make an impact in the wine industry.
- Qualifications: Degree in Mathematics or Statistics and experience in demand forecasting.
- Other info: Collaborative environment with opportunities for professional growth.
The predicted salary is between 36000 - 60000 £ per year.
A top UK wine company is looking for a Data Scientist to enhance their demand forecasting capabilities. This role involves creating and improving forecasting models using Python and SQL, applying statistical techniques, and collaborating with various stakeholders.
Ideal applicants will have:
- A degree in Mathematics or Statistics
- Experience in demand forecasting
- Proficiency in Python
A competitive salary package supplemented by numerous benefits awaits, along with a hybrid working model.
Data Scientist, Demand Forecasting - Hybrid (Python/SQL) in London employer: Naked Wines
Contact Detail:
Naked Wines Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist, Demand Forecasting - Hybrid (Python/SQL) in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working at the company you're eyeing. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python and SQL projects, especially any demand forecasting models you've built. This will help you stand out and demonstrate your expertise.
✨Tip Number 3
Prepare for the interview by brushing up on statistical techniques relevant to demand forecasting. We recommend practising common interview questions and even doing mock interviews with friends or mentors.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Scientist, Demand Forecasting - Hybrid (Python/SQL) 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 in demand forecasting.
Tailor Your CV: Don’t just send out the same CV for every job. Customise yours to reflect the specific requirements of this role. Mention any relevant projects or experiences that align with enhancing forecasting models.
Be Clear and Concise: When writing your cover letter, keep it straightforward. We appreciate clarity, so get to the point about why you’re a great fit for the Data Scientist position without rambling on.
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 don’t miss out on any important updates from our team.
How to prepare for a job interview at Naked Wines
✨Know Your Models
Make sure you brush up on your forecasting models before the interview. Be ready to discuss how you've used Python and SQL to create or improve these models in past roles. Having specific examples will show your expertise and confidence.
✨Statistical Techniques Matter
Familiarise yourself with the statistical techniques relevant to demand forecasting. Be prepared to explain how you've applied these techniques in real-world scenarios. This will demonstrate your analytical skills and understanding of the field.
✨Collaboration is Key
Since this role involves working with various stakeholders, think about times when you've successfully collaborated with others. Be ready to share examples that highlight your communication skills and ability to work as part of a team.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company's current forecasting challenges or their data strategy. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
