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- Tasks: Develop innovative analytics and data science solutions for a leading bakery.
- Company: Join a top bakery company in Greater London with a passion for data.
- Benefits: Enjoy free food, generous holidays, and a solid pension scheme.
- Why this job: Make an impact by enhancing application functionality and mentoring others.
- Qualifications: Bachelor's degree, 3+ years of Python and R experience, strong ETL knowledge.
- Other info: Dynamic work environment with opportunities for growth and learning.
The predicted salary is between 36000 - 60000 £ per year.
A leading bakery company in Greater London is seeking a Data Scientist to develop cutting-edge analytics and data science solutions. This role involves building ETL processes using Microsoft Fabric, mentoring junior staff, and enhancing application functionality.
The ideal candidate has:
- a bachelor's degree in a related field
- at least 3 years of experience with Python and R
- a strong understanding of ETL and database processes
Benefits include free food, generous holiday entitlement, and a pension scheme.
Data Scientist & ML Engineer for Forecasting & LLMs employer: GAIL's Bread
Contact Detail:
GAIL's Bread Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist & ML Engineer for Forecasting & LLMs
✨Tip Number 1
Network like a pro! Reach out to current employees at the bakery company on LinkedIn. A friendly chat can give us insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your best data science projects, especially those involving ETL processes and machine learning. This will help us stand out during interviews.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on Python and R. We can even set up mock interviews with friends or use online platforms to simulate the experience.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have exclusive roles listed there that you won’t find anywhere else.
We think you need these skills to ace Data Scientist & ML Engineer for Forecasting & LLMs
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, R, and ETL processes. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data science and how you can contribute to our bakery company. Keep it engaging and personal – we love to see your personality!
Showcase Your Mentoring Skills: Since mentoring junior staff is part of the role, share any experiences you have in guiding others. We appreciate candidates who can foster growth in their teams, so let us know how you’ve done this in the past!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at GAIL's Bread
✨Know Your Tech Stack
Make sure you brush up on your Python and R skills before the interview. Be ready to discuss specific projects where you've used these languages, especially in relation to ETL processes. This will show that you not only have the technical know-how but also practical experience.
✨Showcase Your Mentoring Skills
Since mentoring junior staff is part of the role, think of examples where you've guided others or led a team. Prepare to share how you approach mentoring and what strategies you use to help others grow. This will demonstrate your leadership potential.
✨Understand the Bakery Business
Research the bakery company and its operations. Understanding their products and how data science can enhance their business will give you an edge. You could even suggest how analytics could improve their forecasting or operational efficiency during the interview.
✨Prepare Questions
Have a list of insightful questions ready to ask at the end of the interview. This could include inquiries about their current data challenges or how they envision the role evolving. It shows your genuine interest in the position and helps you assess if it's the right fit for you.
