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.
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
Qualification
Required
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
Preferred
Advanced degree preferred
Property and casualty insurance experience is a plus
Experience with Spark, Databricks, or cluster computing is a plus
Benefit
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
Intact Insurance Specialty Solutions offer a range of specialty insurance products sold through independent agencies and wholesalers.
