Description

Disclaimer: This posting is not an opportunity to work for Clean Foundation.

Clean

Foundation is supporting the hiring process for Green Jobs Internship Programs. The organization participating in Green Jobs Internship is Korotu Technology located in Toronto and Vancouver. This position is hybrid being approximately 80% remote.

Clean

Foundation will be collecting resumes then submitting them to Korotu Technology to complete the interview and onboarding process.

Korotu Technology website can be found here: korotu.com.

About Korotu

Korotu Technology (www.korotu.com) is a fast-growing clean-tech startup on a mission to protect our planet. We use satellite imagery, AI, and on-the-ground data to help communities monitor, measure, and finance nature-based solutions. Our SaaS platform, Aroa, empowers land protectors and impact investors to fight climate change and preserve biodiversity by providing them with data they can trust.

We are a small, passionate team making a big impact, working with partners like WWF-Canada and the Island Nature Trust.

The Challenge & The Data

This isn't a typical data science role. You will work with complex, multi-modal, and powerful data toanswer critical environmental questions:

● The Data: You'll work with petabytes of satellite imagery, high-resolution drone photography, LiDAR scans, and terrestrial field measurements.

● The Questions: How can we accurately measure carbon stored in a forest from space? Which habitats should be prioritized for conservation funding to maximize climate and biodiversity impact? How do we detect subtle changes in wetland health over time?

● The Impact: Your models and analyses will directly influence the conservation strategies of our clients—from Indigenous land protectors to national environmental organizations—and guide the flow of millions of dollars in climate finance.

This position is a 12-month contract funded through the Green Jobs Program,



structured with a clear path and intent to transition into a permanent role upon term completion.

Requirements

As our Data Science Co-op, you will own the problem-solving lifecycle, turning client needs into data-driven solutions that strengthen our platform.

You will

● Solve End-to-End Client Challenges: Work directly with our clients from their initial brief through to final delivery. You will lead the process of developing ideas, prototyping models, testing solutions, and presenting actionable results.

● Explore & Engineer: Wrangle, clean, and prepare diverse geospatial datasets across raster, vector, and point clouds. You'll perform exploratory data analysis (EDA) and spatial EDA to uncover hidden patterns and engineer features (e.g. Zonal statistics, texture metrics etc) that improve model performance.

● Model & Analyze: Research, design, and train machine learning models to classify land cover, measure biomass, and predict environmental changes using remote sensing and GIS-derived predictors.

● Build for Scale: Move beyond one-off analyses. You will translate your successful client-specific solutions into robust, scalable features for our core Aroa platform, improving the product for all our users.

● Communicate with Impact: Present your findings directly to clients, translating complex results into clear, compelling stories and actionable insights via maps and dashboards.

GIS & Remote Sensing Focus

This role is designed for candidates who specialize in spatial data structures, geoprocessing workflows, and extracting insights using traditional remote sensing methodologies.

Your specific focus will be:

● Leading the prototyping of complex GIS workflows, spatial analytics models, and productizing repeatable cartographic pipelines.

● Leveraging advanced desktop GIS automation (QGIS/ArcGIS) and spatial statistics to engineer environmental indicators.

● Communicate via Maps: Translate complex results into explicit, compelling stories through maps, spatial visualizations, and interactive dashboards.

📌 Data Science Intern (GIS & Remote Sensing) 12 month contract to permanent - Green Jobs Toronto and Vancouver - Apply by August 16 (Canada)
🏢 Clean Foundation
📍 Canada