Trusted Centre Intern

Department of Statistics; Singapore; On-site; SGD 10,000 - 16,000; Part time

Job summary

The Singapore Department of Statistics invites applications for a 6‑month internship with the Trusted Centre for Individual and Business Data (DOS TC). The role focuses on data engineering, process automation and redesign to standardise data flows and pipelines, delivering value to policy analysis and service delivery.

You will work on prototyping, testing modern data tools, documenting findings, and collaborating with stakeholders.

Qualifications

• Studying computer science, data analytics, or a related field.
• Proficiency in Python or R and SQL is preferred.
• Strong communication and ability to work with multiple stakeholders.

Responsibilities

• Engage in a project to transform DOS TC through data engineering and redesigned processes.
• Document findings clearly and share insights with the team.

Skills

Data engineering

Data analytics

Python

R

SQL

Process automation

Communication

Teamwork

Job description

What the role is:

Data engineering, process automation and re-design in the Trusted Centre for Individual and Business Data at DOSThe Trusted Centre for Individual and Business Data at DOS (DOS TC) shares data with the Whole-of-Government (WOG) for policy analysis, agency operations and service delivery purposes, with DOS TC officers playing the role of data steward for individual and business data, working closely with WOG data users to understand their needs and advise them on their data requirements. To achieve this, officers manage and have a deep knowledge on a wide range of individual and business administrative data, work closely with source agencies to bring in data on a timely basis and rectify data issues that arise, and constantly review and enhance business processes to enable efficient data and request management.

What you will be working on:

The intern will be engaged in a project to transform DOS TC through data engineering and process re-design, through standardised design of data flows and data pipelines that enhance efficiency, and reduce manual effort. The project includes iterative development, prototyping, testing modern data tools and their functions to redesign the processes in DOS TC. The findings should be captured, well-documented, easily interpreted and accessible.

What we are looking for:

• Knowledge or experience in computer science, data analytics, data engineering, programming, or process automation.
• Proficiency in R or Python, and SQL is preferred.
• Ability to find most appropriate technical solution for business problems.
• Communication skills to engage multiple stakeholders to achieve desired outcomes.
• Good teamplayer.Internship Period: 6 months, from Jan to Jun 2027 (flexible start and end dates)Part-time option available: Minimum commitment of 3 days per week

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.