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- Tasks: Join our team to optimise car rental experiences using machine learning techniques.
- Company: Booking.com is the world's largest car rental platform, revolutionising travel for over 20 years.
- Benefits: Enjoy hybrid working, competitive pay, and perks like free meals and online learning access.
- Why this job: Be part of a passionate team driving innovation in travel tech with real-world impact.
- Qualifications: Masters or PhD in a quantitative field and strong experience in machine learning required.
- Other info: Diversity and inclusion are core to our culture; make your mark in a global team.
The predicted salary is between 42000 - 84000 ÂŁ per year.
We began by taking hotel bookings online over 20 years ago and we\’ve been shaping the travel industry ever since. Today, we\’re building a platform that connects all parts of the trip – from accommodation to transport, flights, tickets, tours and much more!
From our hubs in Manchester, London, Amsterdam our Trips Business Unit helps people get where they want to go, anywhere in the world. Whether customers want the freedom of a car, the convenience of a flight, the ease of a taxi or the economy of public transport, we make it all possible.
Our team is passionate about helping people travel. They see challenges as opportunities. And they’re always ready for change.
Booking.com is the world\’s largest car rental platform featuring car rental in more than 60\’000 locations in 160 countries. Our product is available to our global customer base via desktop, mobile and app and under 2 consumer brands: Booking.com and Rentalcars.com, our dedicated car rental platform. In addition to our consumer brands we also power the car rental business for our many affiliate partners including some of the world\’s leading airlines and online travel agencies.
Role Description:
We are looking for a Mid-level Machine Learning Scientist to join our Cars Vertical. As a successful candidate, you will working closely with the Search Product Teams. We will iteratively optimize our product to enable our users to find the best Cars at the most relevant location using a combination of ML techniques, engineering, online experimentation, and agile product development. You will work across the full ML lifecycle and bring your models to production and make sure they help our users, communicating findings and contributing knowledge to the insights and data community at Booking.
You\’ll be part of a wider team of Data Scientists, Machine Learning Scientists, and Data Analysts, who cover a wide spectrum of topics within the Trips area. Our recent work revolves around Ranking, Pricing and Recommendation Models. At the same time you will be embedded in a product development team, working side-by-side with Product and Engineering, to create the optimal experience for our customers.
As an MLS you are a subject-matter expert in the theory behind relevant areas of machine intelligence, such as recommendation systems, ranking, multi-arm bandits, uplift modeling, or classification/regression techniques, and in their implementation as end-to-end products that generate direct business impact. You define the strategy and vision for how to generate outsized impact through automated intelligence for a product by driving a research agenda and development plan from conceptualisation to prototyping to full production.
Key Job Responsibilities and Duties:
Role Qualifications and Requirements:
Benefits & Perks:
Booking.com’s Total Rewards Philosophy is not only about compensation but also about benefits. Our Total Rewards are aimed to make it easier for you to experience all that life has to offer—all the messy, beautiful, and joyful bits—on your terms. So you can focus on what really matters. We offer competitive compensation as well as thoughtful, valuable, and even fun benefits which include:
*Please note that while our philosophy is the same in every location, benefits may differ by office/country. More details on the benefits and perks offered by the company can be found here.
#ThinkInclusion: Wellbeing & Inclusion at Booking.com:
Directly linked to our mission to make it easier for everyone to experience the world, Inclusion, Diversity, Belonging, Wellbeing and Volunteering (IDBWV) have been a core part of our company culture since day one. This ongoing journey starts with our very own employees, who represent over 140 nationalities and a wide range of ethnic and social backgrounds, genders and sexual orientations.
Take it from our Chief People Officer, Paulo Pisano: “At Booking.com, the diversity of our people doesn’t just create a unique workplace, it also creates a better and more inclusive travel experience for everyone. Inclusion is at the heart of everything we do. It’s a place where you can make your mark and have a real impact in travel and tech.”
Our DBWV overview can be found here.
Application Process:
Learn more here about what to expect in our interview process: Your Journey
Pre-Employment Screening:
If your application is successful, your personal data may be used for a pre-employment screening check by a third party as permitted by applicable law. Depending on the vacancy and applicable law, a pre-employment screening may include employment history, education and other information (such as media information) that may be necessary for determining your qualifications and suitability for the position.
Machine Learning Scientist - Cars employer: Booking.com
Contact Detail:
Booking.com Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Scientist - Cars
✨Tip Number 1
Familiarise yourself with the latest trends in machine learning, especially those related to recommendation systems and ranking algorithms. This knowledge will not only help you during interviews but also demonstrate your passion for the field.
✨Tip Number 2
Engage with the machine learning community by attending relevant meetups or webinars. Networking with professionals in the industry can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Prepare to discuss your previous projects in detail, particularly those that involved end-to-end machine learning processes. Be ready to explain your thought process, challenges faced, and how you overcame them.
✨Tip Number 4
Showcase your collaborative skills by highlighting experiences where you've worked with cross-functional teams. Emphasising your ability to communicate effectively with developers, product managers, and UX specialists will set you apart.
We think you need these skills to ace Machine Learning Scientist - Cars
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in machine learning, particularly in areas like recommendation systems and model development. Use keywords from the job description to align your skills with what Booking.com is looking for.
Craft a Compelling Cover Letter: In your cover letter, express your passion for travel and technology. Discuss how your background in machine learning can contribute to Booking.com's mission of optimising car rental experiences. Be specific about your achievements and how they relate to the role.
Showcase Your Projects: If you have worked on relevant projects, include them in your application. Describe the challenges you faced, the solutions you implemented, and the impact of your work. This will demonstrate your practical experience and problem-solving skills.
Prepare for Technical Questions: Anticipate technical questions related to machine learning algorithms and data handling. Brush up on your knowledge of Python, SQL, and other relevant technologies. Being well-prepared will help you stand out during the interview process.
How to prepare for a job interview at Booking.com
✨Understand the Role
Make sure you thoroughly understand the responsibilities of a Machine Learning Scientist in the context of car rentals. Familiarise yourself with the specific ML techniques mentioned in the job description, such as recommendation systems and ranking models.
✨Showcase Your Projects
Prepare to discuss your previous projects that relate to machine learning. Be ready to explain your thought process, the challenges you faced, and how you overcame them. This will demonstrate your practical experience and problem-solving skills.
✨Communicate Clearly
Since excellent communication skills are essential for this role, practice explaining complex technical concepts in simple terms. This will help you convey your ideas effectively to non-technical team members during the interview.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's approach to machine learning and how it integrates with product development. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
