An improved PROF with better algorithm, increased coverage of NSOs data under the plotting feature, and expanded coverage of materials (e.g., materials on producer prices and consumer prices) in its knowledge database.
Department of Statistics
Prices Researcher Optimised for Friends (PROF) [GRIT@Gov]
Traineeship
Closing on 12 Nov 2025Check if I'm eligible for GRIT@Gov
What the role is
What you will be working on
The Singapore Department of Statistics (DOS) developed a prototype Retrieval-Augmented Generation (RAG) chatbot powered by a large language model (LLM). This chatbot, known as Price Researcher Optimised for Friends (PROF), envisions to be the first stop application for DOS’s price statisticians to discover and digest technical papers from the Voorburg Group website related to services statistics and producer price indices (SPPIs).
This project aims to further enhance PROF's current algorithm to (i) improve the results and (ii) mapping of APIs from National Statistical Organisations (NSOs) public data portals to compare to SPPIs across countries. Upon completion, the project will focus on applying PROF's concept and algorithm on consumer prices (e.g., Ottawa Group on Price Indices).
Trainee will appreciate the importance of such applications in improving the research and analysis experience, as well as its potential contribution to the international statistical community.
What we are looking for
- Python proficiency is required.
- Good understanding of Generative Artificial Intelligence, Natural Language Processing and LLM.
- Familiar with hosting and deployment of applications on cloud platforms.
About your application process
This job is closing on 12 Nov 2025.
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.
Eligibility for GRIT@Gov traineeship
The GRaduate Industry Traineeship Programme within the Public Service (GRIT@Gov) aims to provide fresh graduates with opportunities to gain industry-relevant skills and experience that can strengthen their employability to take up full time roles in the sector.
All trainees must fulfil the following criteria:
- Singapore Citizen or Permanent Resident; and
- Graduated or graduating in 2024 or 2025 from Universities, Polytechnics, the Institute of Technical Education (ITE) and other Educational Institutions (e.g. private universities and overseas institutions); or
- Graduated earlier from above institutions and completed National Service in 2024 or 2025.
Trainees who complete their studies from Universities, Polytechnics, the Institute of Technical Education (ITE) or other Educational Institutions within 2025 but who will only receive their qualification/certification award in 2026 are eligible for the programme as well.
Learn more about GRIT@GOV
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