At a Glance
- Tasks: Collaborate on innovative data science projects and solve complex optimisation problems.
- Company: Wheely, a premium ride-hailing service redefining transportation.
- Benefits: Flexible hours, stock options, private medical insurance, and professional development support.
- Other info: Dynamic work environment with opportunities for career growth and learning.
- Why this job: Join a fast-growing company and make a real impact in the world of data science.
- Qualifications: Master's or PhD in Operations Research or related field with strong programming skills.
The predicted salary is between 36000 - 60000 £ 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-up with $43M raised, we are expanding rapidly across EMEA and the US. We are adding exceptional talent to drive our next phase of growth.
We are hiring Associate Data Scientists with a background in Operations Research. You will own the entire process: from ideation and research through to production deployment. You’ll join either our Pricing or Matching team, working alongside other Data Scientists and engineers on challenging, high-impact problems such as dynamic pricing and bipartite matching.
Responsibilities- Collaborate with engineers, Data Scientists, designers, and product managers to solve ambiguous problems
- Research, prototype, and ship ML and optimisation models into production
- Continuously improve existing algorithms and identify opportunities for new ones
- Master's or PhD in Operations Research, Mathematics, Management Science or a closely related field with a focus on optimisation
- Strong foundation in mathematical optimisation or mathematical programming
- Solid knowledge of probability & statistics
- Excellent programming skills in Python and core ML tooling (e.g. SQL, PyTorch, etc.)
- Nice to have: Exposure to dynamic pricing, auction design, or marketplace matching problems
- Equity in the form of stock options
- 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, conference or certifications.
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Associate Data Scientist - Operations Research in London employer: Wheely Ltd.
Wheely is an exceptional employer that fosters a dynamic and innovative work culture, where employees are empowered to tackle high-impact challenges in the realm of data science. With flexible working hours, stock options, and a commitment to professional development, Wheely not only values its team members but also invests in their growth and well-being. Located in London, this fast-growing scale-up offers a unique opportunity to be part of a premium ride-hailing service that is redefining transportation across Europe and the Middle East.
StudySmarter Expert Advice🤫
We think this is how you could land Associate Data Scientist - Operations Research in London
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Wheely on LinkedIn. A friendly chat can give us insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Show off your skills! Prepare a portfolio of projects that highlight your expertise in operations research and machine learning. We love seeing real-world applications of your work, so make sure to showcase your best stuff.
✨Tip Number 3
Ace the interview! Brush up on common data science interview questions and be ready to discuss your thought process. We want to see how you tackle problems, so think aloud and don’t be afraid to ask clarifying questions.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows us you’re genuinely interested in joining the Wheely team.
We think you need these skills to ace Associate Data Scientist - Operations Research in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Associate Data Scientist role. Highlight your experience in Operations Research and any relevant projects you've worked on. 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 tell us why you're passionate about data science and how you can contribute to our Pricing or Matching teams. Be genuine and let your personality come through.
Showcase Your Technical Skills:Don’t forget to highlight your programming skills, especially in Python and any ML tools you’re familiar with. We love seeing practical examples of your work, so if you have any projects or GitHub repos, include them!
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 don’t miss out on any important updates from us. Let’s get started on this journey together!
How to prepare for a job interview at Wheely Ltd.
✨Know Your Stuff
Make sure you brush up on your knowledge of operations research and optimisation techniques. Be ready to discuss specific algorithms or models you've worked with, especially in relation to dynamic pricing or marketplace matching.
✨Showcase Your Programming Skills
Since strong programming skills in Python and ML tooling are crucial, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice coding challenges related to data science and optimisation.
✨Collaborative Mindset
Wheely values collaboration, so be prepared to discuss how you've worked with cross-functional teams in the past. Share examples of how you’ve tackled ambiguous problems alongside engineers and product managers.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in Wheely's operations. Inquire about their current challenges in pricing or matching, and how they envision the role of an Associate Data Scientist contributing to their growth.
