Time since we first saw it
Day 204
Up longer than most. Similar jobs usually come down between day 6 and day 69.
From 4,429 similar postings that came down. Coming down is not always a hire.
Data Scientist
Reads like a ML Engineer role: putting models into production.
London, England, United Kingdom
Open 6 months, first seen by us 204 days ago- Pay
£90,000–110,000/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: £90,000 – £110,000 Employee stock options plan
Read the full posting- Work setting
- Not stated
- Employment
- Not stated
Before you apply
- Work authorization
- Sponsors visas
What you’ll work on
Full postingWe're hiring mid-level and senior Data Scientists / ML Engineers.
You'll join one of several hiring teams (Mapping, Matching, Pricing, or Supply) tackling challenging & high-impact problems such as ETA prediction, routing, map matching, dynamic pricing, bipartite matching, driving style prediction, and LLM integration.
Solve ambiguous problems with engineers, designers and product managers
Research, prototype and ship ML models into production
Continuously improve existing algorithms and find new ones
From the employer’s posting
We're hiring mid-level and senior Data Scientists / ML Engineers. You will own the entire process: from ideation and research through to production deployment.
You'll join one of several hiring teams (Mapping, Matching, Pricing, or Supply) tackling challenging & high-impact problems such as ETA prediction, routing, map matching, dynamic pricing, bipartite matching, driving style prediction, and LLM integration.
Collaborate with engineers, designers, and product managers to solve ambiguous problems
Research, prototype, and ship ML models into production
Continuously improve existing algorithms and identify opportunities for new ones
What you’ll bring
All qualificationsCore experience
- 2+ years in Data Science or Machine Learning (mid-level)
- 5+ years in Data Science or Machine Learning (senior roles)
- Strong academic background in a STEM field
- Strong foundation in probability and statistics
Qualification wording
2+ years of experience in Data Science or Machine Learning for mid-level
5+ years for senior roles
Strong academic background in a STEM field
Strong foundation in probability & statistics
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
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Your next step
Complete your application on boards.greenhouse.io. The employer’s form will show what is required.
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- No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
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Has Wheely posted this job before?
Yes. We’ve followed one other Data Scientist job there since April 2026. It is still up.
About the role
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
US government figures for computer and information research scientists
- Median yearly pay, May 2025
- $140,300
- Expected change, 2025 to 2035
- 21.8% more jobsagainst 3.5% for all jobs
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
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 mid-level and senior Data Scientists / ML Engineers. You will own the entire process: from ideation and research through to production deployment.You'll join one of several hiring teams (Mapping, Matching, Pricing, or Supply) tackling challenging & high-impact problems such as ETA prediction, routing, map matching, dynamic pricing, bipartite matching, driving style prediction, and LLM integration.
Responsibilities
- Collaborate with engineers, designers, and product managers to solve ambiguous problems
- Research, prototype, and ship ML models into production
- Continuously improve existing algorithms and identify opportunities for new ones
Requirements
- Strong academic background in a STEM field
- 2+ years of experience in Data Science or Machine Learning for mid-level; 5+ years for senior roles
- Strong foundation in probability & statistics
Nice To Have
- Experience with geospatial data or routing (particularly relevant for the Mapping team)
- Background in operations research or combinatorial optimization (particularly relevant for the Matching and Pricing teams)
- Experience deploying real-time or latency-sensitive ML systems
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: £90,000 – £110,000
- 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
- Relocation support, including visa sponsorship and allowance
All of your personal information will be collected stored and processed in accordance with Wheely’s Candidate Privacy Notice
Source details
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- 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: £90,000 – £110,000 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: £90,000 – £110,000
- Work authorization
- Professional development stipend - Relocation support, including visa sponsorship and allowance All of your personal information will be collected stored and processed in accordance with Wheely’s Candidate Privacy Notice