Drive ecological innovations as WSP's Intermediate Spatial Ecologist, combining field knowledge with advanced geospatial technologies in a hybrid role. Enhance environmental decision-making with your analytical skills.

WSP is on the lookout for an Intermediate Spatial Ecologist to integrate traditional ecological methods with creative technologies like AI and machine learning. This role will involve analyzing data, managing GIS workflows, and collaborating across sectors for effective biodiversity assessments. Your contributions will play a vital role in various environmental projects.

Key Responsibilities:
• Interpret ecological datasets for insightful project analysis
• Create and manage spatial models using GIS platforms




• Utilize machine learning in ecological contexts
• Develop visualizations in Python or R
• Engage with multidisciplinary teams for project success

Requirements:
• Master’s in Ecology or relevant discipline
• 5–10 years' experience in spatial ecology
• Strong GIS (ArcGIS Pro, QGIS) background
• Advanced Python programming proficiency
• Experience with large ecological datasets

Leverage your expertise in geospatial analysis with WSP and make a significant ecological impact.
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📌 WSP Intermediate Ecologist – Hybrid Role (Manitoba)
🏢 WSP in Canada
📍 Manitoba