Predictive Modeler (Hybrid)
reputed company is a leader in the specialty insurance market, dedicated to helping businesses reputed company. 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 reputed company
- 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 reputed company data
- Communicate results and findings to various stakeholder groups and incorporate their feedback into the design of machine learning models reputed company 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, reputed company, or cluster computing is a plus
Benefits
- Comprehensive medical, dental and reputed company 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