At a Glance
- Tasks: Own the entire data science process from ideation to model implementation.
- Company: Wheely, a unique ride-hailing platform prioritising user privacy.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Join a dynamic team focused on innovation and user-centric solutions.
- Why this job: Tackle challenging problems and make a real impact on millions of rides.
- Qualifications: Experience in data science or machine learning with strong problem-solving skills.
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 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.
Data Scientist employer: Wheely Ltd.
Wheely Ltd. is an exceptional employer located in the vibrant Greater London area, offering a dynamic work culture that fosters innovation and collaboration. Employees benefit from ample growth opportunities within a rapidly scaling organisation, where their contributions directly impact strategic initiatives. With a focus on professional development and a supportive environment, Wheely Ltd. stands out as a rewarding place for those looking to make a meaningful impact in their careers.
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 showcasing your data science projects, especially those related to machine learning. Make sure to highlight any experience with predictive modelling or optimisation, as these are key for the roles at Wheely.
✨Tip Number 3
Ace the interview by practising common data science questions and case studies. Be ready to discuss your thought process in building models and how you approach problem-solving, especially in areas like pricing and dispatching.
✨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 🫡
Show Your Passion for Data:When you're writing your application, let your enthusiasm for data science shine through! We want to see how much you love tackling complex problems and using data to drive decisions. Share any personal projects or experiences that highlight your skills and passion.
Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter for the Data Scientist role at Wheely. Highlight relevant experience, especially in areas like machine learning and predictive modelling. We appreciate when candidates take the time to align their skills with our needs!
Be Clear and Concise:Keep your application clear and to the point. We’re looking for candidates who can communicate complex ideas simply. Use bullet points where possible and avoid jargon unless it’s necessary. Remember, clarity is key!
Apply Through Our Website:We encourage you to apply directly 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 serious about joining our team at Wheely!
How to prepare for a job interview at Wheely Ltd.
✨Know Your Data Science Fundamentals
Make sure you brush up on your data science fundamentals, especially around machine learning algorithms and statistical methods. Be prepared to discuss how you've applied these concepts in real-world scenarios, as Wheely is looking for someone who can own the entire process from ideation to implementation.
✨Understand the Business Model
Familiarise yourself with Wheely's unique business model and how it differs from traditional ride-hailing services. Think about how user privacy plays a role in data handling and how you can contribute to building a five-star service while addressing complex problems like pricing and ETA predictions.
✨Prepare for Technical Challenges
Expect to face technical challenges during the interview. Practice coding problems related to data manipulation and model building. You might be asked to solve a problem on the spot, so being comfortable with tools like Python, R, or SQL will definitely give you an edge.
✨Showcase Your Problem-Solving Skills
Wheely is looking for candidates who can tackle difficult problems creatively. Prepare examples of past projects where you’ve successfully solved complex issues, particularly in areas like dispatching requests or optimising pricing strategies. Highlight your thought process and how you arrived at your solutions.
