At a Glance
- Tasks: Build and implement machine learning models to solve real-world problems.
- Company: Wheely, a unique ride-hailing company focused on privacy and five-star service.
- Benefits: Equity options, relocation support, private medical insurance, and professional development stipends.
- Other info: Collaborative environment with opportunities for growth and innovation.
- Why this job: Join a dynamic team tackling exciting challenges in data science and machine learning.
- Qualifications: STEM degree from a top university and 1-2 years of relevant experience.
The predicted salary is between 30000 - 40000 € per year.
We are looking for junior-level, 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 three marketplace teams (matching/pricing/mapping) - working on difficult problems such as predicting ETAs, dispatching immediate and future requests as well as pricing journeys to maximize demand & supply.
Company
Wheely is not a traditional ride-hailing company. We believe in privacy and building our platform with that principle at its core, while successfully scaling a five-star service to thousands of chauffeurs across multiple cities in EMEA. We hire for data science roles in London (where Wheely HQ is located) and Nicosia (Cyprus) depending on the level.
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.
- 1-2 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.
Working conditions
- 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: an annual stipend to use for continuing education courses, programs, conferences or certifications.
Data Scientist - Matching/ Pricing/ Mapping/ Billing in London employer: Open Data Science
Wheely is an exceptional employer that prioritises privacy and a five-star service, making it a unique player in the ride-hailing industry. With a strong focus on employee growth, we offer equity options, professional development stipends, and a supportive in-person culture in our London HQ. Join us to tackle challenging data science problems while enjoying benefits like private medical insurance and relocation assistance.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist - Matching/ Pricing/ Mapping/ Billing in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Wheely on LinkedIn or other platforms. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to matching, pricing, or mapping. This will help you stand out and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for the interview by brushing up on your Python and ML concepts. Be ready to discuss how you've tackled ambiguous problems in the past – Wheely loves problem solvers!
✨Tip Number 4
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 - Matching/ Pricing/ Mapping/ Billing in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Scientist role at Wheely. Highlight your relevant experience in machine learning and data science, and don’t forget to showcase any projects that align with matching, pricing, or mapping.
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 skills can help Wheely tackle those tricky problems. Keep it concise but engaging!
Showcase Your Technical Skills:Since programming in Python is key for this role, make sure to mention any relevant tools and frameworks you’ve worked with. If you have experience with algorithms or statistical methods, definitely include that too!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to see your application and get you into the process. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Open Data Science
✨Know Your Algorithms
Brush up on your understanding of algorithms relevant to data science, especially those used in matching, pricing, and mapping. Be ready to discuss how you would implement these algorithms in production and provide examples from your past experience.
✨Showcase Your Projects
Prepare to talk about specific projects you've worked on that demonstrate your skills in machine learning and data science. Highlight any proofs of concept you've built and how they contributed to solving real-world problems.
✨Understand the Company Culture
Familiarise yourself with Wheely's focus on privacy and high-quality service. Think about how your values align with theirs and be prepared to discuss how you can contribute to their mission during the interview.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the challenges they face in the marketplace, and how success is measured in the role. This shows your genuine interest in the position and helps you assess if it's the right fit for you.
