GIS Intern

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.