At a Glance
- Tasks: Develop and optimise models for Last Mile Marketplace and translate operational needs into algorithms.
- Company: Innovative tech company in Greater London focused on optimisation solutions.
- Benefits: Generous equity, private health coverage, gym subsidies, and flexible holidays.
- Other info: Collaborative environment with opportunities for personal and professional growth.
- Why this job: Join a dynamic team to solve complex problems and make a real impact.
- Qualifications: Experience in operational research and strong coding skills in Python or C++.
The predicted salary is between 60000 - 80000 £ per year.
A technology company in Greater London is looking for an Operational Research Scientist to develop and optimize models for their Last Mile Marketplace. The role involves translating operational requirements into algorithms while collaborating with cross-functional teams.
Responsibilities
- Develop and optimize models for the Last Mile Marketplace.
- Translate operational requirements into algorithms.
- Collaborate with cross-functional teams.
Qualifications
- Experience in operational research.
- Strong coding skills in Python or C++.
- Passion for solving complex problems.
Benefits
- Generous equity.
- Private health coverage.
- Gym subsidies.
- Flexible holidays.
Senior Operational Research Scientist - Last-Mile Optimization employer: Job Search Place Limited
Join a forward-thinking technology company in Greater London, where innovation meets collaboration. As a Senior Operational Research Scientist, you'll enjoy a vibrant work culture that fosters creativity and problem-solving, alongside generous benefits such as equity, private health coverage, and gym subsidies. With flexible holidays and ample opportunities for professional growth, this is an ideal environment for those seeking meaningful and rewarding employment.
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We think you need these skills to ace Senior Operational Research Scientist - Last-Mile Optimization
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
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Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
