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

Clean Foundation • ,

6d • CA$20 - CA$24 • Hybrid

About The Position

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. 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 work with complex, multi-modal, and powerful data to answer critical environmental questions, such as accurately measuring carbon stored in a forest from space, prioritizing habitats for conservation funding, and detecting subtle changes in wetland health over time. Your models and analyses will directly influence conservation strategies and guide the flow of millions of dollars in climate finance. This role is designed for candidates who specialize in spatial data structures, geoprocessing workflows, and extracting insights using traditional remote sensing methodologies.

Requirements

• Between the ages of 15 and 30 (inclusive) at the start of the position
• Be a Canadian Citizen, Permanent Resident, or Protected Person as defined by the Immigration and Refugee Protection Act
• Not a student or currently enrolled in school or an academic program at the start of the employment
• Be legally entitled to work in Canada
• Be legally entitled to work according to the relevant provincial/territorial legislation and regulations
• A Bachelor's, Master's, or PhD program in a quantitative field like Geomatics, Mathematics, Statistics, Physics, Computer Science,or a related discipline with applied GIS/remote sensing coursework or project experience.
• Proficiency with desktop GIS software (QGIS and ArchGIS) for spatial analysis and geoprocessing.
• Solid foundation with geospatial data (e.g., raster/vector data, GIS concepts) and related tools (e.g., GDAL, Rasterio, QGIS).
• Knowledge of core geographic concepts (e.g. scale, spatial relationships, spatial autocorrelation, uncertainty, spatial sampling).
• Strong programming skills in Python for data analysis (experience with Pandas, NumPy, etc.).
• A solid foundation in statistics and machine learning concepts (e.g., hypothesis testing, regression, classification, clustering).
• Ability to conduct independent research, take ownership of projects, and clearly explain technical concepts to both technical and non-technical audiences.

Nice To Haves

• Experience building and training models with frameworks like Scikit-learn, Keras, or PyTorch or experience in designing and operationalizing models/workflows in ArcGIS (e.g. ModelBuilder).
• Knowledge of forestry, ecology, or environmental science.
• Experience with SQL (especially PostGIS) and cloud platforms (Azure or AWS).
• A passion for sustainability and climate change solutions.

Responsibilities

• 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: 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.
• 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 clear, compelling stories through maps, spatial visualizations, and interactive dashboards.

Benefits

• Two weeks of paid vacation during the contract year.
• Comprehensive health, dental, and vision coverage.
• Access to our employee equity (stock options) pool and performance-based bonuses.
• Increased vacation time to three weeks per year upon transition to permanent status.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern
• Education Level: Associate degree