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Wheely

Data Scientist

Great Britain Remote Senior $4.7k–$12.8k/moest.

Summary

Job 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
  • 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
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

Who you are

  • Not explicitly stated beyond requirements; see above for qualifications and experience expectations

Tech stack

  • Not explicitly listed; experience with ML systems, probability & statistics, geospatial data, and routing is relevant

Team

  • You will join one of several hiring teams: Mapping, Matching, Pricing, or Supply
  • Collaborate with engineers, designers, and product managers

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