Shape the future of actuarial analytics as a Senior Data Scientist at CGIC, embracing a hybrid work model. Focus on cutting-edge analytical solutions for P&C; claims reserving.

You will play an essential role in the Corporate Actuarial Advanced Analytics team, collaborating closely with actuaries and business intelligence partners. Your responsibility will include developing and maintaining predictive models, ensuring process efficiency, and enhancing document and model governance. This position empowers you to deliver reliable analytical solutions that directly impact business processes.

Key Responsibilities:
• Develop predictive models for insurance claims reserving
• Design analytical approaches and methodologies
• Apply advanced statistical and machine learning techniques




• Enhance model accuracy and interpretability measures
• Coach peers on scientific practices and documentation

Requirements:
• 6-9 years in Data Science, AI, or a similar domain
• Bachelor’s degree in Computer Science or related field
• Skilled in R, Python, SQL; experience with cloud solutions is beneficial
• Familiarity with model-risk governance in insurance
• Proven ability to solve complex problems

Leverage your expertise at CGIC and contribute to meaningful data-driven initiatives.
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📌 Data Science Leader in Hybrid Environment (Ontario)
🏢 Co-operators
📍 Ontario