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- Tasks: Join a leading enterprise to develop optimisation models for logistics projects.
- Company: Top B2B2C company with a focus on innovation and efficiency.
- Benefits: Competitive daily rate, remote work flexibility, and contract duration of 12 months.
- Why this job: Make a significant impact in logistics while honing your optimisation skills.
- 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 London employer: Arrows
Contact Detail:
Arrows Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Operations Research in London
✨Tip Number 1
Network like a pro! Reach out to folks in the logistics and operations research space on LinkedIn. A friendly message can go a long way, and you never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! If you've built optimization models or worked with solvers like Gurobi or Cplex, create a portfolio or a GitHub repo showcasing your projects. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for those interviews! Brush up on your linear optimization knowledge and be ready to discuss your past projects in detail. Practice explaining complex concepts in simple terms – it shows you really understand your stuff.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be perfect for you. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Operations Research in London
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 match the job description, 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 the perfect fit for the Operations Research Scientist role. Share specific examples of your work in logistics and optimisation that align with what we’re looking for.
Showcase Your Problem-Solving Skills: In your application, highlight instances where you've tackled complex problems using linear optimisation techniques. We love seeing how you approach challenges, so don’t hold back on the details!
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’re considered for this exciting opportunity. Plus, it makes the process smoother for everyone!
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 applied these methods, as well as the outcomes. This will show your depth of understanding and practical experience.
✨Familiarise Yourself with Solvers
Since the role requires strong experience with optimisation solvers like Gurobi or Cplex, we recommend you review their functionalities and any recent updates. If possible, prepare to share examples of how you've used these tools effectively in past projects.
✨Prepare for Technical Questions
Expect technical questions that dive deep into linear optimisation. We suggest practising problem-solving scenarios or case studies related to logistics. This will help you articulate your thought process clearly during the interview.
✨Showcase Your Project Experience
Be ready to discuss your previous work in the logistics domain. Highlight specific challenges you faced, how you approached them, and the results you achieved. This will demonstrate your ability to apply your skills in a real-world context.
