Data Science & Analytics Intern (Urban Analytics)

Design & Planning Lab (DPLab) is a group within URA driving URA’s Urban Planning & Design Technology Centre of Excellence (URBEX) efforts. Our teams with capabilities in software development, geospatial analytics, urban design modelling & simulation, data science, AI / ML, data engineering, data governance and management, work closely with planners, architects, policy makers across various agencies, as well as external partners, to generate insights and develop tools and solutions to tackle Singapore's urban planning challenges. You will be joining the Urban Analytics team, focusing on Accessibility Analytics. You will be working in a team of Data Scientists, with stakeholders from both internal URA planning groups and external partner planning agencies, using data driven approaches to better plan for accessibility to various key amenities.

• Assist with exploratory data analytics of accessibility to Social Communal Facilities (SCF) and other key amenities. • Collaborate with urban planners to interpret data findings meaningfully in the context of amenity provision and accessibility. • Create visualisations and effective presentations to communicate deeply technical results into digestable findings and actionables for a diverse group of stakeholders. • Participate in deploying data pipelines for batch processing and scheduled reporting to stakeholders. • Develop tools and scripts to automate batch processing of data analytics, and/or develop geoprocessing tools on ArcGIS Pro in Python (ArcPy) to streamline analytics workflows for URA planners. Learning Outcomes • Gain hands-on experience in exploratory data analysis techniques applied to urban accessibility and amenity planning challenges. • Develop proficiency in creating data visualizations and communication skills by translating complex technical findings into actionable insights for a diverse stakeholder audience. • Gain insights into how data analytics supports evidence-based urban planning decision-making processes. • Build technical competencies in automated data processing and analytics, including batch processing pipelines and scheduled reporting systems. • Develop proficiency in geospatial analysis tools and scripting for urban planning workflows.

Internship Period: Full-time internship from Jan - May 2026 (6-months). Please state your availability, including specific start and end date in your resume or application form. • Undergraduate / Postgraduate students pursuing Data Science & Analytics, Business Analytics, Computer Science, Information Systems, Geographic Information Systems (GIS), or other relevant studies. • Comfortable with scripting in Python. • Familiarity with basic statistics. • Familiarity with ArcGIS Pro and/or SQL is preferred. • Interest in the application of data science in urban planning. NOTE: We regret to inform that only shortlisted candidates will be notified.