Data Scientist

Posted Yesterday
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London, Greater London, England
In-Office
Mid level
Mobile • Software
The Role
The role involves building and implementing machine learning models, collaborating with cross-functional teams to solve complex problems in data science.
Summary Generated by Built In
About Wheely

Wheely is a high-end ride-hailing service redefining premium transportation across major cities in Europe and the Middle East. We combine technology with the art of five-star chauffeuring to deliver a consistently exceptional experience.

As a profitable, fast-growing scale-up with $43M raised, we're expanding rapidly across EMEA and the US. We're adding exceptional talent to drive our next phase of growth.

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 teams (Passenger/ Supply/ Matching/ 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.

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

Top Skills

Machine Learning
Probability
Python
Statistical Analysis
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The Company
HQ: London
234 Employees
Year Founded: 2010

What We Do

A luxury ride-hailing service which brings together professional chauffeuring of the highest standard and the convenience of all things mobile. Wheely currently operates in London, Moscow, Paris and Dubai. Our easy to use app allows to request executive journeys both on-demand or in advance.

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