Easy Apply
Easy Apply
The role involves building and implementing machine learning models, collaborating with cross-functional teams to solve complex problems in data science.
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
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
Top Skills
Machine Learning
Probability
Python
Statistical Analysis
Wheely London, England Office
The Old Monastery Barn, London, United Kingdom, TW8 8JF
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