Overview
Agoda is offering a Data & Machine Learning Internship for students who want hands-on exposure to real-world data problems at scale. You will join Agoda’s Data team and work closely with experienced machine learning engineers and data scientists to build, test, and improve ML models used across the business.
What You'll Get Out of This Internship
- Practical experience applying machine learning to real production data
- Exposure to NLP and computer vision use cases in a global tech company
- Mentorship from experienced data scientists and ML engineers
- Strong portfolio projects involving model implementation and evaluation
- A deep understanding of how data supports product and business decisions
Key Responsibilities
- Help implement and evaluate machine learning models used in live systems
- Work on NLP and computer vision problems using large-scale datasets
- Support experiments to test model performance and accuracy improvements
- Collaborate with data scientists and engineers to refine ML workflows
- Research emerging ML techniques and share findings with the wider team
- Assist in analysing results to turn model outputs into actionable insights
Requirements
- Currently pursuing a degree in Computer Science, Data Science, Engineering, or a related field
- Solid understanding of machine learning and deep learning fundamentals
- Familiarity with ML frameworks and libraries used in model development
- Comfortable working with data, statistics, and basic predictive modelling
- Curious mindset with interest in reading ML research or academic papers
- Strong problem-solving skills and attention to detail
Who This Internship Is Ideal For
Students who are passionate about machine learning, enjoy working with large datasets, and want to see how ML is applied in real-world products.
About the Company
Agoda is a leading global travel platform that helps millions of people book accommodation, flights, and experiences worldwide. Founded in 2005 and now part of Booking Holdings, Agoda combines technology, data, and innovation to make travel easier and more affordable for everyone.
Internship Details
Location: Singapore
Duration: 6 months
Commitment: Full-time
Working Arrangement: Onsite / Hybrid
Stipend: Not specified
Application Deadline: Not specified
