Associate Data Scientist - Operations Research
London, England, United Kingdom
- Pay
£50,000–70,000/yearAnnual period assumed — pay source
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
Read the full posting- Work setup
- Unconfirmed
- Employment
- Unconfirmed
What you’ll work on
Full postingWe're hiring Associate Data Scientists with a background in Operations Research.
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.
You will own the entire process: from ideation and research through to production deployment.
Collaborate with engineers, Data Scientists, designers, and product managers to solve ambiguous problems
Research, prototype, and ship ML and optimisation models into production
From the employer’s posting
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.
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
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
What you’ll bring
All qualificationsCore experience
- Master's or PhD in Operations Research, Mathematics, Management Science or a closely related field with a focus on optimisation
- Solid knowledge of probability & statistics
- Solid knowledge of Reinforcement Learning and Casual Inference
Qualification wording
Master's or PhD in Operations Research, Mathematics, Management Science or a closely related field with a focus on optimisation
Solid knowledge of probability & statistics
Solid knowledge of Reinforcement Learning and Casual Inference
Education & alternatives
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
Tools in this posting
- Python
- SQL
- PyTorch
Source — Tool mentions in context
- 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
About Wheely
Wheely is redefining premium transportation across major cities in Europe, the US, and the Middle East.
In the employer’s words · Read in context
Job description
About Wheely
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.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
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
Complete your application on boards.greenhouse.io. The employer’s form will show what is required.
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Source & posting history
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
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
- Location & working pattern
London, England, United Kingdom
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
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- Apr 14, 2026
- Recorded sightings
- 127
- Last seen by us
- Oct 8, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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