Predictive Modeler (Hybrid)

Intact Insurance Specialty Solutions is a leader in the specialty insurance market, dedicated to helping businesses thrive. They are seeking a Predictive Modeler to advance their Predictive Modeling and machine learning functions, focusing on model training, evaluation, and implementation support across business units.

Responsibilities

• Train and evaluate the performance of machine learning models to support key business decisions
• Collaborate with data engineers to build data sets for training and evaluating machine learning models, including the application of AI tools for extracting features from semi-structured and unstructured data
• Communicate results and findings to various stakeholder groups and incorporate their feedback into the design of machine learning models when appropriate
• Partner with IT on the implementation of machine learning models into production
• Collaborate with business intelligence analysts to design and implement monitoring tools for deployed machine learning solutions
• Document the data, methods, assumptions, and outcomes for machine learning projects

Skills

• Bachelor's degree in data science, actuarial science, mathematics, statistics, computer science, or similar required
• Prior work experience in data science, machine learning, or actuarial science
• Strong coding skills in common data science languages such as Python, R, and SQL
• Advanced degree preferred
• Property and casualty insurance experience is a plus
• Experience with Spark, Databricks, or cluster computing is a plus

Benefits

• Comprehensive medical, dental and vision insurance with no waiting period
• Competitive paid time off programs
• 401(k) savings and annual contributions of up to 12% of annual salary
• Mental health support programs, life and disability insurance, paid parental leave and a variety of additional voluntary benefits

Company Overview