Data Science VP
A company is looking for a VP Data Science to provide technical leadership in designing, developing, and deploying machine learning models and actuarial methods.
Key Responsibilities
Design and develop a distributable modeling package for actuaries and data scientists
Advise business and technology teams on actuarial components and best practices
Research, develop, and implement algorithms using statistical and machine learning methods
Required Qualifications
Bachelor's Degree required; Master's Degree in a quantitative field preferred
7-10 years of experience with ratemaking, reserving, or actuarial methods
5-7 years of management or leadership experience required
Comprehensive knowledge of technical systems and data analysis techniques
Proficient with R or Python and MS Office
A company is looking for a VP Data Science to provide technical leadership in designing, developing, and deploying machine learning models and actuarial methods.
Key Responsibilities
Design and develop a distributable modeling package for actuaries and data scientists
Advise business and technology teams on actuarial components and best practices
Research, develop, and implement algorithms using statistical and machine learning methods
Required Qualifications
Bachelor's Degree required; Master's Degree in a quantitative field preferred
7-10 years of experience with ratemaking, reserving, or actuarial methods
5-7 years of management or leadership experience required
Comprehensive knowledge of technical systems and data analysis techniques
Proficient with R or Python and MS Office