Workflow Enhancements for External Sector Statistics Intern

What the role is

This project aims to enhance the processing and compilation workflows for the Balance of Payments (BOP) team.

What you will be working on

The intern will work with the team members to analyse the current workflows by creating process flowcharts to identify bottlenecks, inefficiencies, and opportunities for automation. Where appropriate, the intern will assist in developing scripts to improve efficiency and accuracy in data processing and compilation.

The intern will also develop a customised Q&A chatbot designed to address conceptual queries pertaining to the BPM (Balance of Payments and International Investment Position Manual) and the System of National Accounts (SNA). This chatbot will be built using a cloud-based machine learning platform with a Retrieval-Augmented Generation (RAG) framework, incorporating effective prompting techniques to enhance response quality and aims to be a more effective and accurate chatbot relative to existing ones

To facilitate user interaction, the intern will design, develop, and deploy a web-based user interface for the chatbot, integrating it with the machine learning platform through API calls.

What we are looking for

- Possess knowledge or experience in Data Science and Analytics, Computer Science, Computer Engineering, Statistics, Mathematics, Information Technology.

- Basic knowledge or experience in Python programming.

- Basic knowledge or experience in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) frameworks, and prompting techniques.

- Basic knowledge of DevOps, cloud computer and Application Programming Interface (API) programming.

- Ability to work independently and as part of a team.

Internship Duration: 6 months (Jan-Jun 2026)