Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Use machine learning to enhance car rental search and improve user experience.
- Company: Leading travel tech company with a focus on innovation.
- Benefits: Competitive pay, flexible working options, and great career development.
- Other info: Collaborative environment with opportunities for growth and learning.
- Why this job: Join a dynamic team and make a real difference in travel technology.
- Qualifications: Strong ML experience, relevant degree, and Python skills required.
The predicted salary is between 28800 - 48000 £ per year.
A leading travel technology company is seeking a Mid-level Machine Learning Scientist to join the Cars Vertical. In this role, you'll collaborate with product teams to optimize car rental search through machine learning techniques.
Ideal candidates should have:
- Strong experience in ML
- Relevant degrees
- Excellent Python and data technology skills
Competitive compensation and flexible working options are offered.
ML Scientist, Cars — Ranking & Personalization in Manchester employer: Booking.com
Contact Detail:
Booking.com Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land ML Scientist, Cars — Ranking & Personalization in Manchester
✨Tip Number 1
Network like a pro! Reach out to people in the travel tech industry, especially those working with machine learning. A friendly chat can open doors and give you insights that might just land you that ML Scientist role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those related to ranking and personalisation. This will not only demonstrate your expertise but also make you stand out to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your Python and data technology skills. Practice common ML interview questions and be ready to discuss how you've used these skills in real-world scenarios. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented ML Scientists like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace ML Scientist, Cars — Ranking & Personalization in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in machine learning and Python. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the Cars Vertical and how your background makes you a perfect fit for optimising car rental search through ML techniques.
Showcase Your Technical Skills: Since we’re looking for someone with strong data technology skills, make sure to mention any specific tools or frameworks you’ve worked with. We love seeing practical examples of your expertise!
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 in our team!
How to prepare for a job interview at Booking.com
✨Know Your ML Stuff
Brush up on your machine learning concepts and techniques. Be ready to discuss specific algorithms you've used in past projects, especially those related to ranking and personalisation. This will show that you’re not just familiar with the theory but have practical experience too.
✨Show Off Your Python Skills
Since Python is a key requirement for this role, make sure you can demonstrate your coding skills. Prepare to solve a coding challenge or explain your previous projects where you used Python for data analysis or model building. Practice common libraries like Pandas, NumPy, and Scikit-learn.
✨Understand the Product
Research the company’s car rental search product thoroughly. Understand how machine learning can enhance user experience and optimise search results. Being able to discuss how your skills can directly impact their product will set you apart from other candidates.
✨Prepare Questions
Interviews are a two-way street! Prepare insightful questions about the team dynamics, the challenges they face in the Cars Vertical, and how they measure success. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.