Job Description

Experience
  • The ideal candidate has at least 3–5 years of hands‑on experience in data science or a related field, with a demonstrable track record of delivering machine learning solutions in production.
  • Prior experience working with geospatial data and tools is strongly preferred, as is experience in domains involving demographic modelling, urban planning, or public sector analytics.
  • Familiarity with the Singapore planning context, including URA Master Plan data, HDB housing pipelines, or similar datasets, would be an advantage.
Skills
  • The candidate should be proficient in Python and relevant data science libraries such as scikit-learn, PyTorch, or TensorFlow. Knowledge of geospatial tools and frameworks such as GeoPandas, QGIS, PostGIS, or ArcGIS is a bonus.
  • Strong skills in SQL and experience with cloud data platforms (e.g. AWS, GCP, or Azure) are expected.
  • The candidate should be familiar with the ...

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