[Tech Cooperative Internship] Data Science Intern (6 months)

About Agoda

At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.  

 

Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.

 

No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us.

Internship period: January - May 2026 OR August - December 2026

Roles & Responsibilities

Get to Know our Team:
The Data department oversees all of Agoda’s data-related requirements. Our ultimate goal is to enable and increase the use of data in the company through creative approaches and the implementation of powerful resources such as operational and analytical databases, queue systems, BI tools, and data science technology. We hire the brightest minds from around the world to take on this challenge and equip them with the knowledge and tools that contribute to their personal growth and success while supporting our company’s culture of diversity and experimentation. The role the Data team plays at Agoda is critical as business users, product managers, engineers, and many others rely on us to empower their decision making. We are equally dedicated to our customers by improving their search experience with faster results and protecting them from any fraudulent activities. Data is interesting only when you have enough of it, and we have plenty. This is what drives up the challenge as part of the Data department, but also the reward.

• Actively participate in implementing and evaluating ML models for  Natural Language Processing and Computer Vision
• Collaborate with experienced machine learning engineers and data scientists.
• Research new technologies and share across organizations

• Demonstrable understanding of Deep Learning concepts, frameworks, and libraries.
• Strong problem-solving skills, attention to detail, and a long-standing passion for diving into complex datasets.
• Experience in implementing machine learning algorithms, and familiarity with statistical data analysis and predictive modeling
• Passionate about data and ML and demonstrable interest in following Research/Papers from the academic community

• 4-6 months

#students #singapore #cooperativeinterns

Discover more about working at Agoda

• Agoda Careers https://careersatagoda.com
• Facebook https://www.facebook.com/agodacareers/
• LinkedIn https://www.linkedin.com/company/agoda
• YouTube https://www.youtube.com/agodalife

 

Equal Opportunity Employer 

At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.

We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.

Disclaimer

We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.