Associate Data Scientist, Operations Research β€” Pricing/Matching in London

Associate Data Scientist, Operations Research β€” Pricing/Matching in London

London Full-Time 36000 - 60000 Β£ / year (est.) No working from home possible
Wheely

At a Glance

  • Tasks: Solve complex problems and enhance algorithms using ML models.
  • Company: Premium ride-hailing service based in Greater London.
  • Benefits: Flexible work, stock options, and professional development opportunities.
  • Other info: Collaborative environment with exciting challenges and growth potential.
  • Why this job: Join a dynamic team and make an impact in the ride-hailing industry.
  • Qualifications: Master's or PhD with skills in mathematical optimisation and Python.

The predicted salary is between 36000 - 60000 Β£ per year.

A premium ride-hailing service based in Greater London is seeking an Associate Data Scientist specializing in Operations Research. The successful candidate will collaborate with engineers and Data Scientists to solve complex problems, research, and implement ML models, and enhance existing algorithms.

The ideal candidate will have a Master's or PhD and strong skills in mathematical optimisation and Python programming. The role offers flexibility, stock options, and unique benefits like professional development opportunities.

Associate Data Scientist, Operations Research β€” Pricing/Matching in London employer: Wheely

Join a premium ride-hailing service in Greater London, where innovation meets flexibility. As an Associate Data Scientist, you'll thrive in a collaborative environment that values your expertise in mathematical optimisation and Python programming, while enjoying unique benefits such as stock options and professional development opportunities. Our commitment to employee growth and a supportive work culture makes us an excellent employer for those seeking meaningful and rewarding careers.

Wheely

Contact Details:

Wheely Recruitment Team

StudySmarter Expert Advice🀫

We think this is how you could land Associate Data Scientist, Operations Research β€” Pricing/Matching in London

✨Tip Number 1

Network like a pro! Reach out to current employees at the company through LinkedIn or other platforms. A friendly chat can give you insider info and might even lead to a referral.

✨Tip Number 2

Show off your skills! Prepare a portfolio showcasing your projects, especially those involving mathematical optimisation and Python. This will help you stand out during interviews.

✨Tip Number 3

Practice makes perfect! Brush up on your problem-solving skills and be ready to tackle case studies or technical questions during interviews. We recommend using mock interviews to get comfortable.

✨Tip Number 4

Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.

We think you need these skills to ace Associate Data Scientist, Operations Research β€” Pricing/Matching in London

Mathematical Optimisation
Python Programming
Machine Learning Models
Algorithm Enhancement
Collaboration Skills
Problem-Solving Skills
Data Analysis

Some tips for your application 🫑

Tailor Your CV:Make sure your CV highlights your experience in mathematical optimisation and Python programming. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or coursework!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about Operations Research and how you can contribute to our team. We love seeing enthusiasm and a bit of personality!

Showcase Your Problem-Solving Skills:In your application, include examples of complex problems you've tackled in the past. We’re looking for candidates who can think critically and creatively, so share those experiences that demonstrate your analytical prowess!

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 this exciting opportunity. Plus, it’s super easy!

How to prepare for a job interview at Wheely

✨Know Your Algorithms

Brush up on your mathematical optimisation techniques and be ready to discuss how you've applied them in past projects. Be prepared to explain your thought process when solving complex problems, as this will showcase your analytical skills.

✨Showcase Your Python Skills

Since Python programming is crucial for this role, make sure you can talk about specific libraries and frameworks you've used. Consider preparing a small coding challenge or example project to demonstrate your proficiency during the interview.

✨Collaborative Mindset

This position involves working closely with engineers and other Data Scientists, so highlight your teamwork experiences. Share examples of how you've successfully collaborated on projects, focusing on communication and problem-solving.

✨Ask Insightful Questions

Prepare thoughtful questions about the company's approach to operations research and machine learning. This shows your genuine interest in the role and helps you understand how you can contribute to their goals.