Data Science Intern

Job Summary: Please read the information carefully before clicking “Apply.” Internship Period: January - April 2027 (2–4 months, depending on university requirements) First Day of Onboarding and Orientation : 4 January 2027 (A must) Application Deadline: All applicants must complete the online application and submit all required documents by October 16, 2026. Internship Qualifications • Undergraduate students currently studying in their 2nd, 3rd, or 4th year , depending on the requirements of each position. Graduate students are also welcome to apply. • Minimum GPA of 2.75 . • Demonstrate a “Can-Do Attitude” and willingness to learn. • Able to participate in the onsite internship program at Banpu Head Office: 27th Floor, Thanapoom Tower 1550 New Petchburi Road, Makkasan, Ratchathewi Bangkok 10400 Public transportation: MRT Phetchaburi or BTS Nana • International students are responsible for arranging their own Non-Immigrant ED Visa and accommodation in Bangkok. Required Documents & Application Instructions 1. Resume 2. Academic Transcript 2.1 Combine your resume and academic transcript into one PDF file and rename the file using the following format: Name_Surname (e.g., Alex_Wilson ) 2.2 Upload the combined PDF under: My Document → Resume 3. Online Application 3.1 Under My Profile → Address , provide a URL link to your 3–5 minute self-introduction video . 3.2 Under My Profile → Work Phone , indicate your tentative internship period , for example: 4 January 2027 – 31 April 2027 Responsibilities: Support the Enterprise Intelligence Platform development by assisting in the development of AI agents, retrieval-augmented generation (RAG) workflows, and decision-support features for business use cases. Help prepare, clean, and structure internal and external data for use in Databricks, vector search, and AI-ready pipelines. Assist in building and testing prototype AI workflows using Azure AI services, Databricks, Python, and open-source agent frameworks where applicable. Contribute to evaluation activities, including prompt testing, response quality review, hallucination checking, and documentation of limitations and improvement opportunities. Prepare clear technical notes, experiment summaries, and user-facing explanations to support knowledge transfer within the Data Science and D&I/IT teams. Qualifications: Currently studying in the final year of a bachelor’s degree in Computer Science, Computer Engineering, Software Engineering, Information Technology, Data Science, Artificial Intelligence, Mathematics, Statistics, or a related field. Good foundation in Python programming and basic experience with data preparation, data analysis, machine learning, or API-based application development. Basic understanding of generative AI, large language models, RAG, prompt engineering, or chatbot development is preferred. Familiarity with Microsoft Azure, Databricks, SQL, Git, LangChain, LangGraph, or vector databases is an advantage but not mandatory. Strong analytical thinking, curiosity to learn enterprise AI systems, and willingness to work with both technical and business stakeholders. Good communication skills, teamwork mindset, and ability to explain technical concepts in a simple and understandable way.