Data Scientist at Wheely
May no longer be active — verify on the employer site
At a glance
- Company
- Wheely
- Location
- London, England, United Kingdom
- Employment type
- Full-time
- Experience
- 2–5 years
- Working hours
- 40 hours
- Posted
- Added to The Stack
✨ The Stack take on this Wheely job
- 🏢 Wheely has 24 jobs here, 22 with visa sponsorship see all
- 🛂 Skilled Worker visa. Standard minimum salary: £41,700 a year guide
- 💡 No salary shown. Ask Wheely if it is above the minimum.
Updated 2026-11-05, from our data and official sources.
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About the role
ABOUT WHEELY Wheely is a high-end ride-hailing service redefining premium transportation across major cities in Europe and the Middle East. We combine technology with the art of five-star chauffeuring to deliver a consistently exceptional experience. As a profitable, fast-growing scale-up with $43M raised, we're expanding rapidly across EMEA and the US. We're adding exceptional talent to drive our next phase of growth. 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 Wheely expects the very best from our people, both on the road and in the office. In return, employees enjoy flexible working hours, stock options and an exceptional range of perks and benefits. * Competitive salary * Equity in the form of stock options * We provide a relocation allowance to cover flights/ initial accommodation, and we also provide visa sponsorship and assistance. * Office lunches, as Wheely has an in-person culture * Private medical insurance * Newest Mac equipment * Professional development. An annual stipend to use for continuing education courses, programs, conference or certifications. All of your personal information will be collected stored and processed in accordance with Wheely’s Candidate Privacy Notice [https://wheely.com/en/legal/uk/for-candidates/privacy]
Responsibilities
You will work with a cross-functional team to solve ambiguous problems and implement algorithms in production. Additionally, you will build new proofs of concept and improve existing algorithms.
Requirements
A STEM degree from a top 3 university in your country is required, along with 2 years of experience in Data Science or Machine Learning. Excellent programming skills in Python and a deep understanding of probability and statistics are also necessary.
Key skills
- Data Science — in 86 other listings on The Stack
- Machine Learning — in 291 other listings on The Stack
- Python — in 1200 other listings on The Stack
- Probability — in 11 other listings on The Stack
- Statistics — in 53 other listings on The Stack
- Algorithms — in 38 other listings on The Stack
- Cross-Functional Collaboration — in 113 other listings on The Stack
- Proofs Of Concept — not in any other listing on The Stack
On The Stack (as of 2026-11-05)
Frequently asked questions about Wheely
Is this Data Scientist role still open?
It was posted on 2026-03-19. Listings more than 30 days old may no longer be active, so check Wheely's site before applying.
Where is this role located?
The listing gives the location as London, England, United Kingdom.
What skills does this role ask for?
The listing names: Data Science, Machine Learning, Python, Probability, Statistics, Algorithms, Cross-Functional Collaboration, Proofs Of Concept.