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- Tasks: Create advanced analytics solutions to optimise forecasting and logistics.
- Company: Leading food service company in the UK with a focus on innovation.
- Benefits: Free food, generous discounts, and professional development opportunities.
- Why this job: Join a dynamic team and make a real impact on operations.
- Qualifications: Bachelor's degree and 3 years of data science experience required.
- Other info: Exciting environment with growth potential in a thriving industry.
The predicted salary is between 36000 - 60000 £ per year.
A leading food service company in the UK seeks a Data Scientist to develop advanced analytics solutions for enhancing operations related to forecasting, logistics, and application performance.
Applicants should have a Bachelor's degree in a relevant field and a minimum of 3 years experience in data science, with strong skills in Python and knowledge of ETL processes.
Perks include free food, generous discounts, and opportunities for professional development.
Data Scientist & Engineer: Forecasting & LLM Apps in City of Westminster employer: Gail's Limited
Contact Detail:
Gail's Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist & Engineer: Forecasting & LLM Apps in City of Westminster
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those related to forecasting and logistics. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your Python skills and understanding ETL processes. Practice common data science interview questions and be ready to discuss your past experiences and how they relate to the role.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Data Scientist & Engineer: Forecasting & LLM Apps in City of Westminster
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Python and ETL processes in your application. We want to see how your skills can enhance our operations, so don’t hold back!
Tailor Your Application: Take a moment to customise your CV and cover letter for this role. Mention specific projects or experiences that relate to forecasting and logistics, as it’ll show us you’re the right fit.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon and get straight to the point about your qualifications and what you can bring to the 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 ensures you’re considered for this exciting opportunity.
How to prepare for a job interview at Gail's Limited
✨Know Your Data Science Fundamentals
Brush up on your data science basics, especially around forecasting and ETL processes. Be ready to discuss how you've applied these concepts in your previous roles, as this will show your depth of knowledge and practical experience.
✨Showcase Your Python Skills
Prepare to demonstrate your Python expertise during the interview. You might be asked to solve a problem or explain a project where you used Python for data analysis or application performance. Have specific examples ready to highlight your coding skills.
✨Understand the Company’s Operations
Research the food service industry and the specific company you're interviewing with. Understanding their operations and challenges will allow you to tailor your answers and show how your skills can directly benefit their logistics and forecasting needs.
✨Ask Insightful Questions
Prepare thoughtful questions about the role and the company's future projects. This not only shows your interest but also gives you a chance to assess if the company aligns with your career goals, especially regarding professional development opportunities.
