Senior Data Scientist, Actuarial Analytics (Hybrid)

The Co-operators Group; Guelph; Hybrid; CAD 84,000 - 134,000; Full time

Benefits offered by this job

Training and development opportunities

Flexible work options

Paid time off

Job summary

CGIC is seeking a Senior Data Scientist to join the Corporate Actuarial Advanced Analytics team. You will develop, validate and monitor advanced analytical solutions for P&C claims reserving in collaboration with actuaries and BI partners.

The role emphasizes production-ready models, governance, and scalable analytics, with hybrid work and English proficiency required. Strong SQL, Python, R skills and Databricks experience are expected.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, Actuarial Science, Data Science, or related field.
• Proficiency in statistics, predictive modelling, and machine learning.
• Experience delivering production-ready models or recurring analytical solutions.
• Proficiency in R, Python, SQL, and data-engineering tools.

Responsibilities

• Develop, validate, implement, maintain, and monitor predictive models supporting P&C claims reserving.
• Translate reserving objectives into analytical designs and project plans.
• Apply statistical techniques, predictive-modeling and ML algorithms with performance metrics.
• Deliver production-ready analytical solutions autonomously.
• Evaluate methodologies for efficiency, accuracy, and interpretability.
• Enhance model performance monitoring and governance.

Skills

Python

R

SQL

Statistics

Machine Learning

Education

Bachelor's degree

Graduate studies asset

Tools

Databricks

Source control

Job description

CGIC is seeking a Senior Data Scientist to join the Corporate Actuarial Advanced Analytics team. You will develop, validate and monitor advanced analytical solutions for P&C claims reserving in collaboration with actuaries and BI partners.

The role emphasizes production-ready models, governance, and scalable analytics, with hybrid work and English proficiency required. Strong SQL, Python, R skills and Databricks experience are expected.