Wheely lets individuals and businesses book chauffeur-driven journeys.
Data Scientist
Wheely recrute des Data Scientists / ML Engineers pour concevoir et déployer des modèles de machine learning en production. Les équipes travaillent notamment sur la prédiction d’ETA, le routage, la tarification dynamique et l’intégration de LLM. Le poste est basé à West London, avec quatre jours au bureau et un jour de télétravail au choix.
Information about Wheely
- Official domain
- wheely.com
- Open jobs
- 30
Job details
The full description published by Wheely.
Description de l’offre
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
Requirements
- Strong academic background in a STEM field
- Strong foundation in probability & statistics
- Experience with geospatial data or routing
- Background in operations research or combinatorial optimization
- Experience deploying real-time or latency-sensitive ML systems
Benefits mentioned
- 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
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