It’s very hard to find a company product without geo services involvement. From the mechanic heart of the system to the polished passenger application you will find to name a few: routing, map display, differential privacy for location data and map matching. While a lot of mapping tech comes from commercial third-party solutions, we implement a fair share of in-house ideas. And the more the business grows, the more the innovations are needed. This is where you have a great opportunity to mix your strong data science skills with your passion to deliver the seamless product experience to every part of our system.
Responsibilities
Help build heuristic and machine learning models for ETA correction, next 30-second car position, traffic speed forecasting and more. Work with a cross-functional team of engineers, designers and product managers to solve ambiguous problems and implement algorithms in production. Research current system deficiencies and behaviour. Create / improve metrics dashboards to understand maps situation at any given time. Requirements
Understanding of geo tech application or graph theory, practical experience is a huge plus. Experience in predictive machine learning or simulation, data analytics. PhD or Master's degree in computer science, statistics, or related quantitative fields is a plus. Proven experience of deploying solutions to production and measuring the impact. 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. Office-based role located in West London Competitive salary & equity package Medical insurance, including dental Life and critical illness insurance Monthly credit for Wheely journeys Lunch allowance Professional development subsidies Cycle to work scheme Top-notch equipment Relocation allowance (dependent on role level) Wheely has an in-person culture but allows flexible working hours and work from home when needed.
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Help build heuristic and machine learning models for ETA correction, next 30-second car position, traffic speed forecasting and more. Work with a cross-functional team of engineers, designers and product managers to solve ambiguous problems and implement algorithms in production. Research current system deficiencies and behaviour. Create / improve metrics dashboards to understand maps situation at any given time. Requirements
Understanding of geo tech application or graph theory, practical experience is a huge plus. Experience in predictive machine learning or simulation, data analytics. PhD or Master's degree in computer science, statistics, or related quantitative fields is a plus. Proven experience of deploying solutions to production and measuring the impact. 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. Office-based role located in West London Competitive salary & equity package Medical insurance, including dental Life and critical illness insurance Monthly credit for Wheely journeys Lunch allowance Professional development subsidies Cycle to work scheme Top-notch equipment Relocation allowance (dependent on role level) Wheely has an in-person culture but allows flexible working hours and work from home when needed.
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