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- Tasks: Join a key logistics project and develop optimisation models using advanced techniques.
- Company: Leading enterprise in the B2B2C sector, focused on innovation.
- Benefits: Competitive daily rate, remote work flexibility, and a dynamic project environment.
- Why this job: Make a significant impact in logistics with your optimisation expertise.
- Qualifications: Experience with MILPs, heuristics, and optimisation solvers like Gurobi or Cplex.
I am working with a leading enterprise B2B2C who are seeking a Senior Operations Researcher to join them to work on a key project within the logistics domain.
You will have built an optimization model using MILPs, heuristics, decomposition, or other methods (big focus on linear optimization, not so much on non-linear).
In terms of skills you should have strong working experience with optimization solvers (e.g. Gurobi, Cplex, FICO Xpress optimization or other).
Operations Research in Newcastle upon Tyne employer: Arrows
Contact Detail:
Arrows Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Operations Research in Newcastle upon Tyne
✨Tip Number 1
Network like a pro! Reach out to professionals in the logistics and operations research fields on LinkedIn. Join relevant groups and participate in discussions to get your name out there.
✨Tip Number 2
Prepare for those interviews by brushing up on your optimisation models. Be ready to discuss your experience with MILPs and solvers like Gurobi or Cplex. We want you to shine!
✨Tip Number 3
Don’t just apply anywhere; focus on companies that align with your skills and interests. Use our website to find roles that match your expertise in linear optimisation and logistics.
✨Tip Number 4
Follow up after interviews! A quick thank-you email can set you apart from other candidates. It shows your enthusiasm and keeps you fresh in their minds.
We think you need these skills to ace Operations Research in Newcastle upon Tyne
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with optimization models and solvers like Gurobi or Cplex. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about operations research and how your background makes you a perfect fit for this project in the logistics domain. We love a good story!
Showcase Your Problem-Solving Skills: In your application, highlight specific examples where you've tackled complex problems using linear optimization techniques. We’re looking for those 'aha!' moments that demonstrate your analytical prowess.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. We can’t wait to hear from you!
How to prepare for a job interview at Arrows
✨Know Your Optimisation Models
Make sure you brush up on your knowledge of optimisation models, especially MILPs and heuristics. Be ready to discuss specific projects where you've successfully implemented these methods, as this will show your practical experience and understanding.
✨Familiarise with Key Tools
Since the role requires strong experience with optimisation solvers like Gurobi or Cplex, ensure you can talk confidently about your experience with these tools. Prepare examples of how you've used them in past projects to solve complex problems.
✨Understand the Logistics Domain
Research the logistics domain thoroughly. Understand current trends, challenges, and how operations research plays a role in optimising logistics processes. This will help you demonstrate your interest and knowledge during the interview.
✨Prepare for Technical Questions
Expect technical questions that test your problem-solving skills and understanding of linear optimisation. Practice explaining your thought process clearly and concisely, as this will showcase your analytical abilities and communication skills.
