This project focuses on developing an AI-powered email assistant that complements existing document-based retrieval solutions with contextual insights drawn from historical email correspondence.
The project aims to extend current automation capabilities by enabling the assistant to retrieve and analyse previous email exchanges to generate relevant, context-aware responses. This will ensure that responses are comprehensive and reduce the need for manual intervention.
Department of Statistics
Artificial Intelligence Driven Smart Email Response System Intern
InternshipClosed
What the role is
What you will be working on
The project will deliver a solution for analysing and categorising historical email chains to identify common patterns and response strategies. It includes the development of a data cleaning and preprocessing pipeline for email correspondence, optimisation of datasets for use with LLMs, and the creation of an evaluation framework to measure response accuracy and quality. The solution will be implemented using existing low-code or no-code corporate platforms (OPUS, SENSEMAKER, AIBOT etc) to produce an integrated, context-aware email drafting assistant.
Through this project, the intern will gain hands-on experience in working with real-world unstructured text data, including preprocessing, retrieval, and evaluation for LLM-based solutions The project develops skills in applying RAG techniques beyond static documentation, assessing AI output quality, and designing automation solutions that align with organisational workflows and productivity goals.
What we are looking for
- Experience in Python programming and data analysis libraries (pandas, numpy) is required
- Familiarity with machine learning concepts and model evaluation techniques is preferred
- Understanding of data cleaning and preprocessing methodologies is preferred
Possess knowledge or experience in Computer Science / Data Science or related fields
Opened to Undergraduates and Polytechnic students
Internship Duration: May-Jul 2026
About your application process
This job is closing on 04 Mar 2026.
If you do not hear from us within 4 weeks of the job ad closing date, we seek your understanding that it is likely that we are not moving forward with your application for this role. We thank you for your interest and would like to assure you that this does not affect your other job applications with the Public Service. We encourage you to explore and apply for other roles within Department of Statistics or the wider Public Service.
About Department of Statistics
The Singapore Department of Statistics is the National Statistical Authority responsible for statistics on the Singapore economy and population.
We collect, compile, analyse and disseminate a wide range of economic, business, household and population data, as well as analyse and monitor trends in the economy and population.
With these vital inputs, policymakers, business decision makers and our data users gain valuable insights into current and emerging economic and social trends, enabling them to make calculated and informed decisions in the formulation of policies and strategies for the future. Apart from public agencies and businesses, our users also include researchers, analysts, educators, students, the media and the general public.
Join our team and make a difference by contributing important statistical input to facilitate policy planning and decision-making and support Singapore's present and future economic and social development.
Learn more about Department of Statistics