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Wheely

Data Scientist

Posted 2 Days Ago
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London, Greater London, England
Mid level
London, Greater London, England
Mid level
As a Data Scientist at Wheely, you will build heuristic and machine learning models for enhancing ETA accuracy, forecasting traffic speed, and contribute to system improvements. You'll collaborate with engineers and product managers to implement algorithms and enhance metrics dashboards for better mapping insights.
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Wheely is not a traditional ride-hailing company. We are building a platform with user privacy at its core while successfully scaling a five-star service to millions of rides across multiple cities.

We are looking for mid-level and senior Data Scientists / ML Engineers at Wheely. You will own the entire process of building, from initial ideation and research to implementation of models in production.

You will join one of our three marketplace teams (matching/ pricing/ mapping) - working on difficult problems such as predicting ETAs, dispatching immediate and future requests as well as pricing journeys to maximize demand & supply.

Responsibilities

  • Work with a cross-functional team of engineers, designers and product managers to solve ambiguous problems and implement algorithms in production
  • Building new proofs of concept and improving existing algorithms
  • Researching and then delivering PoC into products

Requirements

  • STEM degree from a top 3 university in your country
  • 2 years of experience in Data Science / Machine Learning or similar
  • Excellent programming skills in Python and relevant tools
  • Deep understanding of fundamentals of probability and statistics

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.

  • 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.

Wheely is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

All of your personal information will be collected stored and processed in accordance with Wheely’s Candidate Privacy Notice

Top Skills

Python
R
HQ

Wheely London, England Office

The Old Monastery Barn, London, United Kingdom, TW8 8JF

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