GIS Intern

Peak Energy is seeking a GIS Intern in Singapore to assist business development teams with geospatial data analysis for renewable energy projects. The role involves collecting and processing geospatial datasets, building models, conducting analysis, and visualizing results. Candidates should be pursuing a relevant degree and have skills in geospatial tools and Python. The internship lasts 12-24 weeks and is paid.
About Peak Energy

Peak Energy is a fast-growing renewable energy developer accelerating the transition to net-zero by building and operating utility-scale solar, wind, and storage projects across Asia. We are driven by a mission to deliver affordable, clean energy with measurable impact.

Role Summary

We are looking for a passionate and curious Geospatial Data Science Intern to support our business development teams. You'll work with cutting-edge spatial data tools to help identify, assess, and visualize optimal locations for renewable energy development. This is an exciting opportunity to work on real-world energy challenges in a data-driven and impact-oriented company.

Key Responsibilities
• Collect, clean, and process geospatial datasets (e.g., satellite imagery, topography, land use, infrastructure, meteorological data)
• Assist in building and maintaining geospatial models and dashboards for site screening
• Support development of automated spatial data pipelines
• Conduct spatial analysis and visualization to support decision-making
• Present insights and findings in clear, actionable formats

Requirements
• Currently pursuing or recently completed a degree in Geoinformatics, Data Science, Environmental Science, Engineering, Computer Science, or a related field
• Familiarity with geospatial analysis tools (e.g., QGIS, ArcGIS, Google Earth Engine)
• Geospatial and spatiotemporal analysis, remote sensing, image processing experience preferred
• Proficiency in Python (especially with packages like GeoPandas, Rasterio, Folium, or similar) to develop clean, efficient pipelines and workflows, ensuring reproducibility and effective team collaboration
• Strong analytical and problem-solving skills, paired with the ability to develop creative and efficient solutions
• Experience with data visualization tools such as Power BI, Tableau, or similar
• Strong problem-solving skills and attention to detail
• Interest in renewable energy and climate change

Nice to Have
• Experience working with large spatial datasets or satellite imagery (e.g., Sentinel, Landsat)
• Knowledge of machine learning for spatial analysis
• Familiarity with cloud platforms (AWS, GCP) or remote sensing APIs

Internship Details
• Duration: 12-24 weeks (flexible start date)
• Paid internship

How to Apply

Submit your resume, a short statement of interest, and (if available) a portfolio or GitHub link showcasing relevant geospatial or data science work.