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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 a dynamic project environment.
- Why this job: Make a significant impact in logistics through advanced optimisation techniques.
- 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 Portsmouth employer: Arrows
Contact Detail:
Arrows Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Operations Research in Portsmouth
✨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
Show off your skills! Create a portfolio showcasing your optimization models and projects. This will give potential employers a taste of what you can do, especially with tools like Gurobi or Cplex.
✨Tip Number 3
Prepare for interviews by brushing up on common optimisation problems and solutions. Be ready to discuss your experience with MILPs and heuristics, as well as how you've tackled real-world challenges.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for 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 Operations Research in Portsmouth
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 logistics project. Keep it engaging and personal.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex problems using linear optimization techniques. We love seeing real-world applications of your skills, 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 the role. Plus, it’s super easy!
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 challenges you faced and how you overcame them.
✨Familiarise Yourself with Solvers
Since the role requires strong experience with optimisation solvers like Gurobi or Cplex, we suggest you review their functionalities and be prepared to explain how you've used them in past projects. Maybe even have a couple of examples ready to showcase your expertise!
✨Understand the Logistics Domain
Given that this position is within the logistics domain, it’s crucial to understand the key challenges and trends in this field. Research current issues and think about how your skills can address them. This will show your potential employer that you're not just technically skilled but also industry-savvy.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare insightful questions about the company’s projects, team dynamics, and future goals. This not only shows your interest but also helps you gauge if the company is the right fit for you.
