Base compensation; annual bonus eligibility; retir...
Hybrid
10+ years data science experience
5+ years people leadership experience
Build and deploy pricing models
Aviva Canada is seeking an Assistant Vice President of Data Science to lead a multidisciplinary team in the development and implementation of advanced analytics and pricing models for their Commercial Insurance portfolio. The ideal candidate should possess over 10 years of experience in data science or related fields, alongside strong leadership skills and the ability to communicate complex ideas clearly. The role promises a hybrid work environment and comprehensive benefits, emphasizing career development and employee well-being
Job Summary
This role involves leading a multidisciplinary team of data scientists, developers, and actuaries to shape the future of Commercial Insurance.
The successful candidate will set the vision for advanced analytics and deliver pricing models that improve accuracy and segmentation.
Aviva Canada offers a compelling rewards package including base compensation, annual bonus eligibility, retirement savings, and a hybrid flexible work model.
Matching Summary
Match Score: 85
Aviva Canada is seeking an Assistant Vice President of Data Science to lead a multidisciplinary team in the development and implementation of advanced analytics and pricing models for their Commercial Insurance portfolio. The ideal candidate should possess over 10 years of experience in data science or related fields, alongside strong leadership skills and the ability to communicate complex ideas clearly. The role promises a hybrid work environment and comprehensive benefits, emphasizing career development and employee well-being.
Salary
Base compensation; Annual bonus eligibility; Retirement savings, share plan, health benefits
Skills & Requirements
Must-have
10+ years data science experience
5+ years people leadership experience
Build and deploy pricing models
STEM university degree required
Nice-to-have
Experience in insurance or regulated environments
Exposure to AI-driven solutions
Strong appreciation for model governance
Curiosity about design and usability
Key Requirements
University degree in STEM discipline
10+ years in data science or quantitative modelling