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Internship Opportunities

As an intern, you can look forward to working on meaningful and challenging projects. An internship with DOS will provide an enriching opportunity for you to earn valuable insights on the nature of our work and experience our culture, gaining a head start in preparation for a future career with us. During your internship, you will be working in a dynamic environment which provides excellent platform to grow personally and professionally.

Who May Apply

We welcome Data Analytics, Computer Science, Information Systems, Data Science, Accountancy, Actuarial Science and/or subjects with substantial quantitative content (e.g., regression, analytics, modelling, forecasting) to apply.

How to Apply

Each internship stint spans a minimum duration of eight weeks, and is typically offered for the period of May – July. Our internship projects, if any, will be published in Careers@Gov for application in the first quarter of the year. You may explore the website for more information on the application process and various internship opportunities.

Hear from our Past Interns

“I studied Data Science in NUS and I wanted to find out how the tools and theory I had learnt in an institutional environment could be applied in a real-world setting. Through my internship stint with DOS, I was given a chance to work with real-world data and apply, test and evaluate machine learning algorithms to solve practical problems. The supportive team and the exposure to the wide variety of data collected by government for service operations and policy analysis was the main motivating factor for me to re-join DOS on a full-time basis after my graduation.”

-    Chua Zhong Lin Kane, Trusted Centre for Individual and Business Data, Intern (2019)
Currently in DOS’s Trusted Centre for Individual and Business Data Division as a Statistician

 

“The DOS Internship Programme was a good opportunity for me to apply my knowledge of machine learning. It was interesting to see how causal machine learning could be applied to real-life datasets to facilitate decision-making and policy formulation. The experience I gained was also relevant to my studies as a Mathematical Sciences major.

During the internship, I was mentored by experienced colleagues which enabled me to perform research and coding tasks effectively. They were readily available to assist me whenever I had difficulties in my work, and they provided comprehensive feedback during our weekly discussions. At the end of the internship, I was able to present my work to DOS's senior management, which was a valuable and memorable experience.

After my graduation, I decided to join DOS as I had enjoyed the internship experience. As DOS is the National Statistical Office, I was also interested in how data is collected, processed, and compiled in DOS before it is disseminated to various stakeholders. As a Statistician in the Digital Services and Transformation Division, I am leveraging on my coding and machine learning expertise to promote digitalization across DOS.”

-    Nicholas Chin, Longitudinal Data Analytics, Intern (2021)
Currently in DOS’s Digital Services and Transformation as a Statistician