Predictive Modeler; Hybrid

Predictive Modeler (Hybrid)

Intact Insurance Specialty Solutions

Join our Corporate Actuarial team based in Plymouth, MN or Boston, MA on a hybrid schedule. The role advances the company’s predictive modeling and machine learning function for all business units through model training, evaluation, findings delivery, and implementation support.

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

• Bachelor’s degree in data science, actuarial science, mathematics, statistics, computer science, or related field (advanced degree preferred).
• Prior work experience in data science, machine learning, or actuarial science (property and casualty insurance experience is a plus).
• Strong coding skills in common data science languages such as Python, R, and SQL.
• Experience with Spark, Databricks, or cluster computing is a plus.

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

This position will remain posted until a final candidate is selected. Once the role is filled, this job posting will be removed.