Senior Actuarial Data Scientist – Hybrid

Responsibilities

• Analyze and model operational, economic, financial, and organizational data
• Help quantify competitive performance
• Evaluate the impact of operational changes
• Develop data-driven strategies and solutions to complex business problems
• Build modeling frameworks and predictive models for new datasets using advanced analytics
• Explore data to test hypotheses, identify important causes, and answer business questions
• Develop and run statistical programs/tests to analyze complex relationships
• Incorporate industry/competitor insights, stay current on best practices, and propose innovative solutions
• Research and maintain awareness of insurance industry best practices and our strategies

• Demonstrated experience providing customer-driven solutions, support or service
• Ability to work as part of a team and to communicate effectively
• Proficiency in programming languages suitable for database access, scripting, statistical analysis, and system development
• Understanding of software development best practices including source control, coding standards and testing frameworks
• Demonstrated experience formulating, approaching, and solving complex analytical problems using a quantitative, scientific approach
• Demonstrated experience working with large, complex datasets using big data technologies and script
• Solid knowledge and understanding managing data to scale using data summarization, query and analysis software and tools
• Background in data science (e.g., statistical modeling, machine learning, and data visualization) with experience using Python/R and SQL
• Some P&C insurance experience
• Model Implementations using machine learning/statistical methods and end-to-end modeling best practices (cleaning/imputation, selection, evaluation, tuning) plus strong coding standards (organization, unit testing)