Data Science Intern

Job Summary:

Please read the information carefully before proceeding to click  "Apply"

Internship Period: November 2025 - March 2026 (2-4 months depending on university)
Remark: All applicants must complete the application and attach the following documents within August 15, 2025

Internship Qualification:
• Undergraduate students currently studying in the 2nd, 3rd, 4th year - depending on each position and graduate students are welcome.
• GPA of 2.75 and above
• A 'Can-Do Attitude' and a willingness to learn
• Able to attend onsite internship program at Banpu Head Office as below address. 
           "27th Floor, Thanapoom Tower, 1550 New Petchburi Road, Makkasan, Ratchathewi, Bangkok 10400"  (Public Transportation: MRT Petchaburi or BTS Nana)
• International students are responsible for arranging their own Non-Immigrant ED Visa  and accommodation in Bangkok.

Required Documents:
1. Resume
2. Academic transcript.
        2.1 Please convert 1. and 2. as one PDF file and rename as Name_Surname e.g., Alex_Wilson
        2.2 Upload 2.1 in online application Section My Document - Resume
3. Online application   
       3.1 Online application section My Profile  in Address  - Please place a URL link to a 3-5 minutes self-introduction video.
       3.2 Online application Section My Profile in Work phone - Please inform your tentative internship period Ex. 16 November 2025 - 31 January 2026

For more information about the Banpu Internship Program, please download the Banpu Internship E-Catalog from the link below.

Banpu Internship E-Catalog

Responsibilities:

• Participate in developing generative ai related projects
• Improve performance and/or deliver new features of generative ai related projects
• Analyze given datasets to extract actionable insights, develop and implement data collection systems, and utilize data visualization tools (PowerBI)
• Develop, implement, and manage predictive models to forecast trends, enhance predictive accuracy with machine learning techniques, and validate models iteratively.
• Apply optimization techniques to improve organizational processes, collaborating with teams to implement solutions.

Qualifications:

• 3rd–4th year of bachelor’s degree in Computer Science, Computer Engineering, Software Engineering, IT, Mathematics, Statistics, or a related fields.
• Proficient in Python and data science libraries, with hands-on experienced projects in data preprocessing, and model building
• Strong understanding of machine learning fundamentals and experience with common algorithms and techniques.
• Good communication skills and working in teamwork, with experience explaining technical concepts to non-technical team members.