Wheely is hiring an Associate Data Scientist with an Operations Research background in West London to research, prototype, and ship ML and optimisation models into production on its Pricing or Matching team, tackling problems like dynamic pricing and bipartite matching. Core skills: mathematical optimisation, probability/statistics, RL, causal inference, Python, SQL, PyTorch.
Wheely is redefining premium transportation across major cities in Europe, the US, and the Middle East. We blend cutting-edge technology with the craft of five-star chauffeuring to deliver an experience trusted by more than 100,000 active riders and 1,200 corporate accounts.
We’re a profitable, fast-growing scale-up with $43M raised and over $100M in annual revenue. Having recently launched in New York City, we’re expanding rapidly across the US and EMEA. If you take pride in your craft and want to help shape the next chapter of our growth, we'd love to hear from you.
About The Role
We're hiring Associate Data Scientists with a background in Operations Research. You will own the entire process: from ideation and research through to production deployment.
You'll join either our Pricing or Matching team, working alongside other Data Scientists and engineers on challenging, high-impact problems such as dynamic pricing and bipartite matching.
Responsibilities
Collaborate with engineers, Data Scientists, designers, and product managers to solve ambiguous problems
Research, prototype, and ship ML and optimisation models into production
Continuously improve existing algorithms and identify opportunities for new ones
Requirements
Master's or PhD in Operations Research, Mathematics, Management Science or a closely related field with a focus on optimisation
Strong foundation in mathematical optimisation or mathematical programming
Solid knowledge of probability & statistics
Solid knowledge of Reinforcement Learning and Casual Inference
Excellent programming skills in Python and core ML tooling (e.g. SQL, PyTorch, etc.)
Nice To Have
Exposure to dynamic pricing, auction design, or marketplace matching problems
Publication in Q1/A* journals, participation in NeurIPS and other conferences
What We Offer
Office-based role in West London, four days a week with flexible start and finish times, plus one remote day of your choice
Salary: £50,000 – £70,000
Employee stock options plan
Private medical and dental insurance
Life and critical illness cover
Latest-generation MacBook Pro and 4k display
Monthly credit towards Wheely journeys
Cycle to Work scheme
Professional development stipend
All of your personal information will be collected stored and processed in accordance with Wheely’s Candidate Privacy Notice