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- Tasks: Tackle high-impact projects in pricing, supply chain, and commercial operations.
- Company: Join a leading UK supermarket with a central Data Science Hub.
- Benefits: Enjoy discounts, performance bonuses, and a hybrid working model.
- Why this job: Make a real impact while working on exciting data-driven projects.
- Qualifications: Master’s or PhD in a quantitative field and experience in Operational Research.
- Other info: Be part of a dynamic team with great career growth potential.
The predicted salary is between 36000 - 60000 £ per year.
A leading UK supermarket is seeking a Data Scientist to join their central Data Science Hub. The role involves working on high-impact projects across pricing, supply chain, and commercial operations.
Candidates should possess a Master’s or PhD in a quantitative field and experience with Operational Research methods.
The position offers a hybrid working model and a range of employee benefits, including discounts and performance-related bonuses.
Operations Research Data Scientist - Hybrid & Impact employer: Sainsbury's
Contact Detail:
Sainsbury's Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Operations Research Data Scientist - Hybrid & Impact
✨Tip Number 1
Network like a pro! Reach out to current employees at the supermarket or similar companies on LinkedIn. A friendly chat can give us insider info and might even lead to a referral!
✨Tip Number 2
Prepare for the interview by brushing up on your Operational Research methods. We should be ready to discuss how our skills can tackle real-world problems in pricing and supply chain.
✨Tip Number 3
Showcase our projects! If we’ve worked on relevant data science projects, let’s create a portfolio that highlights our impact. Visuals and results speak volumes during interviews.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure our application gets seen by the right people. Plus, it shows we’re genuinely interested in the role.
We think you need these skills to ace Operations Research Data Scientist - Hybrid & Impact
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Operational Research methods and any relevant projects. We want to see how your skills align with the high-impact work we do in pricing and supply chain.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you're passionate about data science and how you can contribute to our central Data Science Hub. Be specific about your achievements and how they relate to the role.
Showcase Your Quantitative Skills: Since we're looking for someone with a Master’s or PhD in a quantitative field, make sure to highlight your academic background and any relevant coursework or projects. We love seeing how you've applied your knowledge in real-world scenarios!
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 regarding your application status.
How to prepare for a job interview at Sainsbury's
✨Know Your Numbers
Brush up on your quantitative skills and be ready to discuss specific Operational Research methods you've used in past projects. This role is all about data, so showing your comfort with numbers will impress the interviewers.
✨Showcase Relevant Projects
Prepare to talk about high-impact projects you've worked on, especially those related to pricing or supply chain. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your contributions.
✨Understand the Company’s Impact
Research the supermarket's current initiatives and challenges in their operations. Being able to discuss how your skills can directly contribute to their goals will demonstrate your genuine interest in the role and the company.
✨Ask Insightful Questions
Prepare thoughtful questions that show your enthusiasm for the position and the company. Inquire about the types of projects you might work on or how the Data Science Hub collaborates with other departments to drive impact.
