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Data Scientist / Statistician / Mathematician

Agency: Ministry of National Development
Job no.: 521866
Work type: Permanent/Contract
Location: Singapore
Categories:Economics/Statistics, Research and Analysis, Statistics

The Ministry of National Development (MND), the lead government agency responsible for land use planning and infrastructure development, aims to transform Singapore into an endearing home and a distinctive global city. At MND, we aspire to create a quality, vibrant and sustainable living environment for our people. We also strive to shape Singapore into a world-class city of knowledge, culture and excellence – one which keeps pace with global challenges and the rising aspirations of Singaporeans.

Our Vision:
An Endearing Home, A Distinctive Global City

Our Mission:
Develop world-class infrastructure
Create a vibrant and sustainable living environment
Build rooted and cohesive communities



You will undertake research and analysis of issues are relevant to the Ministry to enable evidence-based policy formulation. Specifically, you will carry out research to understand interactions between people, and with the built environment in areas such as:

  • Assessing public housing affordability, and understanding the public housing needs of Singaporeans;
  • Developing surveillance capabilities to better understand key drivers that affect property market prices in Singapore;
  • Deepening our knowledge of housing and related social issues faced by different population segments and the efficacy of related policies;
  • Understanding the social cohesiveness of our community and residents’ sentiments toward the living environment.

You will be part of a dynamic, multi-disciplinary team that will be actively involved in conceptualising qualitative and quantitative research studies. You will collect, integrate and analyse large-scale datasets using appropriate methods. You should have the passion to discover new insights through the use of algorithmic, statistical, data-mining, machine learning and visualization techniques.



  • Degree/Masters/PhD in a quantitative discipline: Data Analytics, Engineering, Economics, Statistics, Applied Mathematics, Computer Science, or related disciplines with substantial quantitative content (e.g. regression, predictive analytics, modelling, forecasting)
  • Knowledgeable in advanced statistical and modelling techniques, especially in analysing administrative, survey and experimental data
  • Experience in handling large datasets (e.g. merging data, transforming data), software programming, data analytics, visual analytics (e.g. creating dashboards), use of GIS, and sense-making of both structured and unstructured data
  • Deep knowledge in SQL, Informatica, SAS, R, Python and/or Tableau will be an advantage
  • Excellent communication skills and the ability to explain research results simply and logically

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