A leading analytics firm is seeking a Principal Predictive Modeler/Data Scientist. This senior-level role in Jersey City, NJ, focuses on developing innovative data-driven products for the property, casualty, and life insurance sectors. Candidates must have extensive statistical modeling experience and strong communication skills, with at least 8 years of relevant work, including proficiency in statistical software like SAS and R. The position involves leading complex analytics projects and ensuring compliance with regulatory standards.
Qualifications
Graduate-level degree with concentration in a quantitative discipline like statistics, computer science, or economics.
8+ years of relevant work experience including 3 years of statistical modeling and data mining in a P&C insurance context.
Expertise in statistical modeling techniques like linear regression, logistic regression, and GLM.
Responsibilities
Apply analytical skills to the insurance value chain and develop pricing models.
Communicate with customers and lead complex analytics projects.
Execute data analysis and modeling projects from design to final reports.
Skills
Statistical modeling
Data mining
Verbal communication
Written communication
Teamwork
Education
Graduate degree in quantitative discipline
Bachelor's degree with CAS Associate or Fellow status
Tools
SAS
R
Microsoft Office
SPSS
Matlab
Job description
A leading analytics firm is seeking a Principal Predictive Modeler/Data Scientist. This senior-level role in Jersey City, NJ, focuses on developing innovative data-driven products for the property, casualty, and life insurance sectors. Candidates must have extensive statistical modeling experience and strong communication skills, with at least 8 years of relevant work, including proficiency in statistical software like SAS and R. The position involves leading complex analytics projects and ensuring compliance with regulatory standards.