At a Glance
- Tasks: Own the process of building and implementing ML models from ideation to production.
- Company: Join Wheely, a forward-thinking tech company with a collaborative culture.
- Benefits: Equity options, relocation support, private medical insurance, and professional development stipends.
- Other info: Dynamic work environment with opportunities for career growth and learning.
- Why this job: Tackle challenging problems and make a real impact in the transport industry.
- Qualifications: STEM degree and 2+ years in Data Science or Machine Learning required.
The predicted salary is between 50000 - 70000 € per year.
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 developing the driving model, building chauffeur and journey quality score, predicting ETAs, dispatching immediate and future requests as well as pricing journeys to maximize demand & supply.
Locations: London (HQ) and Nicosia (Cyprus) depending on 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.
- 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 & 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/ ML Engineer - Passenger/ Supply/ Matching/ Mapping in London employer: Open Data Science
Wheely is an exceptional employer that fosters a collaborative and innovative work culture, where Data Scientists and ML Engineers can thrive. With a focus on professional development, employees benefit from equity options, relocation assistance, and a supportive environment that encourages continuous learning and growth. Located in vibrant London or picturesque Nicosia, Wheely offers a unique opportunity to tackle challenging problems while enjoying a strong sense of community and well-being.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist/ ML Engineer - Passenger/ Supply/ Matching/ Mapping in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Wheely on LinkedIn or through mutual connections. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Prepare for those technical interviews! Brush up on your Python skills and be ready to discuss your past projects. We want to showcase our problem-solving abilities and how we can tackle the challenges in Passenger/Supply/Matching/Mapping.
✨Tip Number 3
Show off your passion for data! When we get the chance to speak with the team, let’s share our excitement about machine learning and how it can transform the transport industry. Enthusiasm goes a long way!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure our application gets noticed. Plus, we can tailor our submission to highlight how our skills align with Wheely's mission.
We think you need these skills to ace Data Scientist/ ML Engineer - Passenger/ Supply/ Matching/ Mapping in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Scientist/ML Engineer role. Highlight relevant experience, especially in building models and working with cross-functional teams. We want to see how your skills align with our needs!
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 you can contribute to our team. Be sure to mention specific projects or experiences that relate to the job description.
Showcase Your Technical Skills:We love seeing your technical prowess! Include any relevant programming languages, tools, and frameworks you've worked with, especially Python. If you've got experience with algorithms or statistical methods, make sure to highlight that too!
Apply Through Our Website:Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at Wheely!
How to prepare for a job interview at Open Data Science
✨Know Your Algorithms
Brush up on your understanding of algorithms and models relevant to the role. Be ready to discuss how you've implemented them in past projects, especially in Python. This shows you not only know the theory but can apply it practically.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles and how you tackled them. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will demonstrate your ability to work through ambiguous problems, which is key for this position.
✨Understand the Business Context
Familiarise yourself with Wheely's business model and how data science plays a role in enhancing their services. Being able to connect your technical skills to real-world applications will impress the interviewers and show that you're genuinely interested in the company.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, current projects, and future challenges they face. This not only shows your enthusiasm but also helps you gauge if the company culture aligns with your values and work style.
