Time since we first saw it
Day 204
Up longer than most. Similar jobs usually come down between day 7 and day 55.
From 10,136 similar postings that came down. Coming down is not always a hire.
Associate Data Scientist - Operations Research
London, England, United Kingdom
Open 6 months, first seen by us 204 days ago- 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 setting
- Not stated
- Employment
- Not stated
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.
Research, prototype, and ship ML and optimisation models into production
Continuously improve existing algorithms and identify opportunities for new ones
Work with engineers, data scientists, designers and product managers on ambiguous problems
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.
Research, prototype, and ship ML and optimisation models into production
Continuously improve existing algorithms and identify opportunities for new ones
Collaborate with engineers, Data Scientists, designers, and product managers to solve ambiguous problems
What you’ll bring
All qualificationsCore experience
- Master's or PhD in Operations Research, Mathematics, Management Science or related field
- Strong foundation in mathematical optimisation or mathematical programming
- Solid knowledge of probability and statistics
- Solid knowledge of reinforcement learning and causal inference
- Excellent Python programming and core ML tooling such as SQL or PyTorch
Qualification wording
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.)
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
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
Posting record
Report an errorOpen 6 monthsWe first saw this posting 204 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Apr 14, 2026204 days ago
- Recorded sightings
- 157
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Wheely is hiring
4 open jobs
- No new data jobs since April
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- PyTorch
Where the posting names them
- 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
Your next step
Complete your application on boards.greenhouse.io. The employer’s form will show what is required.
Applying through Greenhouse
- No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
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Already applied? Track this application
Has Wheely posted this job before?
Yes. We’ve followed one other Associate Data Scientist - Operations Research job there since April 2026. It is still up.
About the role
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
US government figures for data scientists
- Median yearly pay, May 2025
- $120,230
- Expected change, 2025 to 2035
- 34.6% more jobsagainst 3.5% for all jobs
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
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.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
Source details
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.