Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Optimise bidding strategies using advanced machine learning models.
- Company: Global travel tech company in Greater London with an inclusive culture.
- Benefits: Competitive salary, flexible work options, and opportunities for innovation.
- Why this job: Join a dynamic team and make a measurable impact in the travel industry.
- Qualifications: Strong Python and SQL skills with 2+ years of ML experience.
- Other info: Collaborative environment focused on driving scalable solutions.
The predicted salary is between 42000 - 84000 £ per year.
A global travel technology company in Greater London is seeking a Machine Learning Scientist II to optimize bidding strategies through advanced machine learning models. The ideal candidate will have a strong background in Python and SQL along with 2+ years of experience in applying Machine Learning to real-world challenges. This role involves collaboration within a cross-functional team to drive scalable solutions and measurable business impact, fostering an inclusive work environment focused on innovation.
ML Scientist II: Bidding & Optimization for Search in London employer: Expedia, Inc.
Contact Detail:
Expedia, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land ML Scientist II: Bidding & Optimization for Search in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working in travel tech or machine learning. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those related to bidding and optimisation. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your Python and SQL skills. Be ready to discuss how you've applied machine learning to solve real-world problems, as this is key for the role.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace ML Scientist II: Bidding & Optimization for Search in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Python and SQL in your application. We want to see how you've applied machine learning to real-world challenges, so don’t hold back on those examples!
Tailor Your Application: Take a moment to customise your CV and cover letter for this role. We love seeing how your background aligns with our needs, especially in bidding strategies and optimisation.
Be Yourself: We value authenticity! Let your personality shine through in your written application. Share your passion for machine learning and how you can contribute to our inclusive and innovative environment.
Apply Through Our Website: Don’t forget to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Expedia, Inc.
✨Know Your ML Models
Brush up on the machine learning models you've worked with, especially those related to bidding and optimisation. Be ready to discuss how you've applied these models in real-world scenarios, as this will show your practical experience and understanding.
✨Showcase Your Coding Skills
Since Python and SQL are key for this role, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice coding challenges beforehand to ensure you're comfortable and confident.
✨Collaboration is Key
This role involves working within a cross-functional team, so be prepared to discuss your experience collaborating with others. Share examples of how you’ve contributed to team projects and how you handle differing opinions to drive towards a common goal.
✨Emphasise Innovation
The company values innovation, so think about times when you've introduced new ideas or solutions. Be ready to explain your thought process and how your contributions led to measurable business impact, showcasing your ability to think outside the box.
