Data Science & Analytics Intern (Urban Analytics)

Description

• Gain insights into how data analytics supports evidence-based urban planning decision-making processes.
• Collaborate with urban planners to interpret data findings meaningfully in the context of amenity provision and accessibility.
• Assist with exploratory data analytics of accessibility to Social Communal Facilities (SCF) and other key amenities.
• Build technical competencies in automated data processing and analytics, including batch processing pipelines and scheduled reporting systems.
• 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.

Requirements

• Familiarity with basic statistics.
• Familiarity with ArcGIS Pro and/or SQL is preferred.
• Develop proficiency in geospatial analysis tools and scripting for urban planning workflows.
• 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.
• Develop proficiency in creating data visualizations and communication skills by translating complex technical findings into actionable insights for a diverse stakeholder audience.

Benefits

• Gain hands-on experience in exploratory data analysis techniques applied to urban accessibility and amenity planning challenges.

Training + Development

Interview process

Visa Sponsorship

Security clearance