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For Companies At a Glance
- Tasks: Design and build optimisation models for Relay's last-mile network.
- Company: Join Relay, a mission-driven company transforming e-commerce delivery.
- Benefits: Generous equity, private health coverage, 25 days holiday, and more perks.
- Other info: Collaborative environment with a focus on diversity and inclusion.
- Why this job: Make a real impact on seamless online shopping experiences for everyone.
- Qualifications: Experience in operational research and proficiency in coding languages like Python or C++.
The predicted salary is between 60000 - 80000 ÂŁ per year.
Company Mission
Relay’s Mission is to free commerce from friction. Today, high delivery costs act as a hidden tax on e‑commerce, quietly shaping what can be sold online and limiting who can participate. We envision a world where more goods move more freely between more people, making the online shopping experience seamless and accessible to everyone.
Opportunity
As the first Operational Research Scientist in Last Mile Marketplace, you will design, build and evolve the optimisation models and solvers that sit at the heart of Relay’s last‑mile network — production decision systems that shape how Relay operates every day. This senior individual‑contributor role sits within Relay’s Data function, joining a dedicated Operational Research team and reporting to the Staff Decision Systems Architect.
What You’ll Do
- Translate operational requirements into optimisation models across scheduling, assignment and pricing problems.
- Develop and evaluate solution approaches using mathematical programming and meta‑heuristics.
- Design and build algorithms, heuristics and solvers custom to the unique problems you formulate.
- Ensure your solutions are scalable and adaptable to our growing operation.
- Benchmark and evaluate the performance of your solutions.
- Work closely with engineering to productionise your solutions into automated daily processes.
- Collaborate with analytics to monitor daily performance and proactively evolve your solution to make better decisions.
Qualifications
- Experience in operational research, specifically in heuristics and/or mathematical programming.
- Proficiency coding in a general‑purpose or performance language such as Python, Rust, Julia or C++.
- Enjoy solving large‑scale optimisation problems.
- Motivated to work on production systems, learning from real‑world outcomes and improving your solutions daily.
- Deep understanding of problem dynamics, crafting bespoke solutions to unique decision problems.
- Excited to collaborate with cross‑functional tech teams in building Relay’s Last Mile Marketplace.
- Concern for the end‑users of your work—couriers, retailers, and consumers—all impacted by the decisions your systems make.
Compensation & Benefits
- Generous equity with annual top‑ups to share Relay’s success.
- Private health and dental coverage.
- 25 days of holidays.
- Enhanced parental leave.
- Hardware of your choice.
- Extensive perks including gym subsidies, cycle‑to‑work, Friday office lunch, and more.
Relay is an equal‑opportunity employer committed to diversity, inclusion, and fostering a workplace where everyone thrives.
Senior Operational Research Scientist - Last Mile in London employer: relaytech.co
Contact Detail:
relaytech.co Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Operational Research Scientist - Last Mile in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Relay or similar companies. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio of optimisation models or coding projects, make sure to share them. It’s a great way to demonstrate your expertise and passion for solving real-world problems.
✨Tip Number 3
Prepare for interviews by practising common questions related to operational research and optimisation. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in being part of the Relay team.
We think you need these skills to ace Senior Operational Research Scientist - Last Mile in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Senior Operational Research Scientist role. Highlight your experience in operational research, especially in heuristics and mathematical programming, to catch our eye!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about the opportunity at Relay and how your background makes you a perfect fit for our Last Mile Marketplace team.
Showcase Your Problem-Solving Skills: In your application, don’t just list your skills—demonstrate them! Share examples of large-scale optimisation problems you've tackled and the innovative solutions you've developed. We love seeing real-world applications!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you’re serious about joining our mission to free commerce from friction!
How to prepare for a job interview at relaytech.co
✨Know Your Optimisation Models
Make sure you brush up on your knowledge of optimisation models, especially those related to scheduling, assignment, and pricing problems. Be ready to discuss how you've applied these concepts in past projects and how they can be tailored to Relay's unique challenges.
✨Showcase Your Coding Skills
Since proficiency in languages like Python, Rust, Julia, or C++ is crucial, prepare to demonstrate your coding skills. Bring examples of your previous work or even be ready for a live coding challenge. This will show that you can translate theoretical models into practical solutions.
✨Understand the End-User Impact
Relay values the end-users of your work, so be prepared to discuss how your solutions will affect couriers, retailers, and consumers. Think about how your optimisation models can enhance their experience and make the online shopping process more seamless.
✨Collaborate and Communicate
As this role involves working closely with cross-functional tech teams, highlight your collaboration skills. Share examples of how you've successfully worked with engineers and analysts in the past to implement solutions, and be ready to discuss how you would approach teamwork at Relay.