About this role
Wheely is seeking a talented Data Scientist to join its team in London, England. This exciting office-based position suits analytical professionals with a strong STEM background who want to build and deploy machine learning models for premium transportation.
Role Overview
Wheely is hiring mid-level and senior data science professionals to handle the full lifecycle of machine learning projects from initial research to production deployment. Team members will collaborate across departments to solve complex transportation challenges. This position is located in West London and requires office presence four days per week.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
Salary and Benefits
About the Company
Wheely transforms high-end transportation across major urban centers in the Middle East, the United States, and Europe by combining advanced technology with elite chauffeuring. Serving more than 100,000 active passengers and over 1,200 corporate clients, the profitable scale-up features $43 million in funding and annual revenues exceeding $100 million.
How to Apply
Interested candidates should visit the official Wheely careers page to submit their application and personal information in accordance with company privacy guidelines.
Skills and tech stack
Questions candidates ask
What is the salary for the Data Scientist role at Wheely?
The annual salary ranges between £90,000 and £110,000.
Where is this job located?
This is an office-based position located in West London, England, requiring attendance four days a week with one remote day.
How much experience is required?
Mid-level applicants need at least 2 years of experience in data science or machine learning, while senior roles require 5+ years.
Does Wheely offer visa sponsorship for this position?
Yes, relocation support includes visa sponsorship and an allowance.
What benefits are included with this job?
Benefits include stock options, private medical and dental insurance, life and critical illness cover, monthly ride credits, a professional development stipend, and a Cycle to Work scheme.