Predictive Modeler (Hybrid)
About The Position
Our employees are at the heart of what we do: helping people, businesses and society prosper in good times and be resilient in bad times. When you join our team, you are bringing this purpose to life alongside a passionate community. Feel empowered to learn and grow while being valued for who you are. At Intact, we commit to supporting you in reaching your goals with tools, opportunities, and flexibility. It’s our promise to you. Who we are At Intact Insurance Specialty Solutions, we are experts at what we do in protecting what makes businesses unique. Our deep understanding of the specialty insurance market is the foundation for our customized solutions, backed by targeted risk control and claims services. Our employees are passionate about providing insurance coverage that’s aligned to our targeted customer groups. Intact’s Global Specialty Lines business spans across more than 20 verticals in four distinct markets: U.S., Canada, UK and Europe. The following opportunity is for our U.S. team. The opportunity We currently have an opportunity for a Predictive Modeler to join our Corporate Actuarial team based in our Plymouth, MN or Boston MA office on a hybrid schedule. This role is responsible for advancing the company’s Predictive Modeling and machine learning function for all business units through model training and evaluation, delivery of findings and recommendations, and implementation support.
Requirements
- 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.
Nice To Haves
- Advanced degree preferred.
- Property and casualty insurance experience is a plus.
- Experience with Spark, Databricks, or cluster computing is a plus
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.
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
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
1,001-5,000 employees
