Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join us to build and implement cutting-edge data models for our ride-hailing platform.
- Company: Wheely is revolutionising ride-hailing with a focus on user privacy and five-star service.
- Benefits: Enjoy flexible hours, stock options, relocation support, and top-notch office perks.
- Why this job: Tackle challenging problems in a collaborative environment while making a real impact.
- Qualifications: STEM degree from a top university and 2 years of Data Science experience required.
- Other info: We offer professional development stipends for continuous learning and growth.
The predicted salary is between 43200 - 72000 £ per year.
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
- 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.
Interested in building your career at Wheely? Get future opportunities sent straight to your email.
#J-18808-Ljbffr
Data Scientist employer: Wheely Ltd.
Contact Detail:
Wheely Ltd. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Familiarise yourself with Wheely's unique approach to ride-hailing. Understanding their focus on user privacy and five-star service will help you align your skills and experiences with their mission during discussions.
✨Tip Number 2
Brush up on your Python programming skills, especially in the context of data science and machine learning. Be prepared to discuss specific projects where you've implemented algorithms or models, as this will demonstrate your hands-on experience.
✨Tip Number 3
Showcase your problem-solving abilities by preparing examples of how you've tackled ambiguous problems in previous roles. Wheely values cross-functional teamwork, so highlight any collaborative projects you've been part of.
✨Tip Number 4
Research the latest trends in data science and machine learning, particularly those relevant to transportation and logistics. Being able to discuss current advancements will show your passion for the field and your commitment to continuous learning.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Understand the Role: Before applying, make sure to thoroughly understand the responsibilities and requirements of the Data Scientist position at Wheely. Familiarise yourself with their focus on user privacy and the specific marketplace teams you'll be working with.
Tailor Your CV: Craft your CV to highlight relevant experience in Data Science and Machine Learning. Emphasise your programming skills in Python and any projects that demonstrate your ability to solve complex problems, particularly those related to algorithms and statistical analysis.
Write a Compelling Cover Letter: In your cover letter, express your enthusiasm for Wheely's mission and how your background aligns with their goals. Mention specific projects or experiences that showcase your ability to work cross-functionally and deliver proofs of concept into products.
Proofread and Edit: Before submitting your application, carefully proofread all documents for spelling and grammatical errors. Ensure that your writing is clear and professional, as this reflects your attention to detail and communication skills.
How to prepare for a job interview at Wheely Ltd.
✨Showcase Your Technical Skills
Make sure to highlight your programming skills in Python and any relevant tools during the interview. Be prepared to discuss specific projects where you've implemented algorithms or built models, as this will demonstrate your hands-on experience.
✨Understand the Business Context
Wheely is focused on user privacy and providing a five-star service. Familiarise yourself with their business model and think about how data science can enhance their offerings. This will show that you are not just technically proficient but also understand the company's goals.
✨Prepare for Problem-Solving Questions
Expect to tackle ambiguous problems during the interview. Practice explaining your thought process when approaching complex data challenges, such as predicting ETAs or optimising pricing strategies. This will demonstrate your analytical thinking and problem-solving abilities.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the specific marketplace team you'll be joining, and the types of projects you might work on. This shows your genuine interest in the role and helps you assess if Wheely is the right fit for you.
