Actuarial Data Scientist (FCAS)
American Modern Insurance Group
Actuarial Data Scientist (FCAS)
United States · Hybrid · Today
Personal Property HomeownersPersonal Other
Role Summary
Role type
Actuarial data science crossover
Closer to a data science crossover than a conventional pricing specialist because machine learning, software design, deployment, and broader decision science are explicit parts of the remit.
Titled below the requirements. The posted title is Actuarial Data Scientist, while the description frames the position as a Principal Data Scientist requiring FCAS, six-plus years of experience, and senior technical leadership.
Senior P&C actuarial data science role in the American Modern Predictive Analytics team, serving personal property and other personal lines across the United States. As a hybrid Principal Data Scientist, you will lead pricing model strategy, develop and monitor GLM/GBM and machine learning models, support regulatory filings, and mentor junior team members.
Requirements
Must have
- FCAS designation
- Eligible to work in the US without employer visa sponsorship
Strongly preferred
- Experience in multiple programming languages, including R and Python
- Deep understanding of GLMs and GBMs
- Familiarity with AI and machine learning concepts (supervised/unsupervised learning, deep learning, NLP)
- Experience with Databricks or similar big data platforms
- Strong understanding of data structures, algorithms, and software design patterns
- Experience working in agile team environment (Scrum or Kanban)
- Six or more years of data science/predictive analytics experience in insurance OR eight or more years in another industry
- Master's degree in Business Analytics, Statistics, Computer Science, or related field
- Experience managing projects and directing work of junior team members
- Strong commitment to testing, validation, and continuous improvement of models and workflows
Skills & Domain
ToolsDatabricks
DomainPersonal lines pricing model strategyRegulatory rate filings and objectionsPredictive modeling for property and recreational insurance