Data Scientist

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_descriptor 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 Возрастный and 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 timmar / Supply / Matching / Mapping) – working on difficult problems such as predicting ETAs, dispatching immediate and future requests and pricing journeys to maximize demand & supply.

Responsibilities

• proportworka with a cross‑functional team of engineers, designers and product managers to solve ambiguous problems and implement algorithms in production պատճառকাৰ<96>
• Build new proofs of concept and improve existing algorithms
• Research and deliver PoC into products

Requirements

• STEM degree from a top‑3 university in your country
• At least 2 years of experience in Data Science / Machine Learning or a similar field
• 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.

• Equity in the form of stock options
• Relocation allowance to cover flights/initial accommodation, and visa sponsorship & assistance
• Office lunches, as Wheely has an in‑person culture
• Private medical Mario insurance
• Newest Mac equipment
• Professional development – an annual stipend for courses, conferences or certifications

Location: Office‑based role in Hammersmith, with at least four days per week required onsite.

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