Pursue a data-driven career as a Junior Data Scientist with Cushman & Wakefield, focusing on economic analysis within the commercial real estate sector. Your Python or R skills will be crucial in market insights generation.
In this significant role, you will contribute to the Quantitative Insight Group by synthesizing complex datasets and applying rigorous analytical methodologies. You will bridge economic theory and data science while developing systems to ensure data integrity and accessibility. Your hands-on experience in urban analytics will help shape valuable outputs for key stakeholders.
Key Responsibilities:
• Conduct detailed analysis of real estate market datasets
• Utilize statistical and econometric methods in research
• Build integrated datasets using various data sources




• Ensure data quality through validation and profiling
• Facilitate communication of findings to technical and non-technical audiences
Requirements:
• Bachelor’s degree in Data Science, Economics, or Urban Planning
• 2 to 6 years of experience in related analytical roles
• Solid understanding of statistical methods and economic analysis
• Proficiency in data analysis tools like Python and R
• Experience with public urban datasets and GIS tools
Contribute your analytical expertise to Cushman & Wakefield and influence key market strategies through data insights.
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📌 Junior Data Scientist - Economic Analysis Role (Toronto)
🏢 Cushman & Wakefield
📍 Toronto