At a Glance
- Tasks: Collaborate with engineers to tackle complex pricing and optimisation challenges.
- Company: Leading ride-hailing service based in London with a focus on innovation.
- Benefits: Flexible working hours, stock options, and comprehensive benefits for growth.
- Other info: Exciting opportunities for professional development in a fast-paced environment.
- Why this job: Join a dynamic team and make an impact in the world of data science.
- Qualifications: Master’s or PhD in a relevant field with strong Python programming skills.
The predicted salary is between 36000 - 60000 £ per year.
A leading ride-hailing service based in London is seeking an Associate Data Scientist specializing in Operations Research. This role involves collaborating with engineers and Data Scientists to address complex challenges, including dynamic pricing and optimization models.
Ideal candidates will hold a Master’s or PhD, possess strong programming skills in Python, and have a solid foundation in mathematical optimization.
The position offers flexible working hours, stock options, and a range of benefits, aimed at fostering professional growth.
Associate Data Scientist, Operations Research — Pricing/Matching in London employer: Wheely Ltd.
As a leading ride-hailing service based in London, we pride ourselves on being an excellent employer that champions innovation and collaboration. Our flexible working hours, generous stock options, and comprehensive benefits package create a supportive environment where employees can thrive and develop their skills. Join us to be part of a dynamic team that values your contributions and offers ample opportunities for professional growth in the exciting field of data science.
StudySmarter Expert Advice🤫
We think this is how you could land Associate Data Scientist, Operations Research — Pricing/Matching in London
✨Tip Number 1
Network like a pro! Reach out to current employees at the ride-hailing service on LinkedIn. A friendly chat can give us insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your projects in Python and mathematical optimisation. We want to see how you tackle real-world problems, so make it shine!
✨Tip Number 3
Practice makes perfect! Get ready for those technical interviews by brushing up on your coding skills and optimisation techniques. We recommend mock interviews with friends or using online platforms.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step to connect directly with us.
We think you need these skills to ace Associate Data Scientist, Operations Research — Pricing/Matching in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your programming skills in Python and any experience you have with mathematical optimization. We want to see how your background aligns with the role, so don’t hold back!
Tailor Your Application:Take a moment to customise your CV and cover letter for this specific role. Mention your experience with dynamic pricing and optimisation models, as it shows us you understand what we’re looking for.
Be Clear and Concise:When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon and get straight to the point about your qualifications and experiences.
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 without any hiccups!
How to prepare for a job interview at Wheely Ltd.
✨Know Your Stuff
Make sure you brush up on your programming skills, especially in Python. Be ready to discuss your experience with mathematical optimisation and how it relates to dynamic pricing. The more you can demonstrate your technical knowledge, the better!
✨Showcase Collaboration Skills
Since this role involves working closely with engineers and other Data Scientists, be prepared to share examples of past collaborations. Highlight how you’ve tackled complex challenges as part of a team, and what your contributions were.
✨Prepare for Problem-Solving Questions
Expect to face some tricky problem-solving scenarios during the interview. Practice explaining your thought process clearly and logically. This will show that you can think on your feet and approach challenges methodically.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the company’s approach to dynamic pricing or how they measure success in their optimisation models. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
