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- Tasks: Own the process of building data models from ideation to production.
- Company: Wheely, a unique ride-hailing platform prioritising user privacy.
- Benefits: Flexible hours, stock options, relocation support, and professional development.
- Why this job: Tackle challenging problems and make a real impact in a dynamic environment.
- Qualifications: STEM degree and 2 years of experience in Data Science or Machine Learning.
- Other info: Join a collaborative team with excellent perks and career growth opportunities.
The predicted salary is between 36000 - 60000 £ per year.
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 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
- Competitive salary.
- Equity in the form of stock options.
- Relocation allowance to cover flights/ initial accommodation, and visa sponsorship and assistance.
- Office lunches, as Wheely has an in-person culture.
- Private medical insurance.
- Newest Mac equipment.
- Professional development with an annual stipend for continuing education courses, programs, conferences or certifications.
Data Scientist employer: Wheely
Contact Detail:
Wheely Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Wheely on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Show off your skills! Prepare a portfolio of your projects, especially those related to data science and machine learning. When you get the chance to chat with recruiters or during interviews, share your work and how it relates to the role at Wheely.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on your Python skills and algorithms. Use platforms like LeetCode or HackerRank to solve problems that might come up in your interviews.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the Wheely team.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Scientist role at Wheely. Highlight your experience with algorithms, Python programming, and any relevant projects that showcase your skills in solving complex problems.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how your background aligns with Wheely's mission of user privacy and service excellence.
Showcase Your Projects: Include links to any relevant projects or proofs of concept you've worked on. This gives us a glimpse into your practical experience and problem-solving abilities, which are crucial for the role.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at Wheely
✨Know Your Algorithms
Brush up on your knowledge of algorithms and models relevant to data science. Be prepared to discuss how you've implemented them in past projects, especially in production settings. This will show that you can not only build models but also understand their practical applications.
✨Showcase Your Problem-Solving Skills
Wheely is looking for someone who can tackle ambiguous problems. Prepare examples from your experience where you identified a complex issue, researched potential solutions, and successfully implemented an algorithm. This will demonstrate your ability to think critically and work collaboratively with cross-functional teams.
✨Understand the Business Context
Familiarise yourself with Wheely's business model and how data science plays a role in enhancing user privacy and service quality. Being able to articulate how your work as a Data Scientist can directly impact their goals will set you apart from other candidates.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare insightful questions about their current projects, team dynamics, and future challenges they face. This shows your genuine interest in the role and helps you assess if Wheely is the right fit for you.
