GenAI Engagement & Research Intern — Hybrid

CPF; Singapore; Hybrid; SGD 10,000 - 17,000; Full time

Benefits offered by this job

Annual leave

Pro-family leave

Medical and dental benefits

Recreational activities

Job summary

CPF is seeking a GenAI Engagement and Research Intern to join the Data Science Accelerator team. You will collaborate with cross-functional teams to explore GenAI use cases, develop engaging content, and help drive GenAI adoption across CPF Board.

The role focuses on hands-on learning, experimentation, and impact within a large public organisation. Ideal candidates are pursuing degrees in Business Analytics, Data Science, Computer Science or related fields, with familiarity in Python and GenAI

Qualifications

• Currently pursuing a Degree in Business Analytics, Data Science, Computer Science or a related field.
• Has some experience with Python coding, especially using Jupyter notebooks.
• Has a basic understanding of GenAI concepts like Large Language Models and prompt engineering.
• Interested in developing problem-solving skills and a logical approach to troubleshooting technical issues.
• Communicates clearly, both in speaking and writing.
• Works well independently and with others, takes initiative without needing constant supervision.

Responsibilities

• Partner business users on developing GenAI solutions for actual business use cases.
• Research and stay up to date with the latest advancements in GenAI, including Agentic AI and GenAI Evaluation.
• Develop content and programmes such as newsletters, roadshows, and workshops to level-up staff across the organisation in understanding GenAI fundamentals, building of customised assistants and applying GenAI evaluations.
• Evangelise and support GenAI adoption throughout the organisation.
• Lead workshops and discussions where comfortable, gaining hands-on involvement in developing engagement initiatives for a large organisation.

Job description

CPF is seeking a GenAI Engagement and Research Intern to join the Data Science Accelerator team. You will collaborate with cross-functional teams to explore GenAI use cases, develop engaging content, and help drive GenAI adoption across CPF Board.

The role focuses on hands-on learning, experimentation, and impact within a large public organisation. Ideal candidates are pursuing degrees in Business Analytics, Data Science, Computer Science or related fields, with familiarity in Python and GenAI