Data Scientist
Job in
London, Greater London, W1B, England, UK
Listed on 2026-09-03
Listing for:
Wheely
Full Time
position Listed on 2026-09-03
Job specializations:
-
IT/Tech
Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Data Scientist, Data Analyst
Job Description & How to Apply Below
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 field2+ 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 Mac Book 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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