AI/ML Engineer

Key Responsibilities

• Work alongside Senior AI/ML Engineers to design, develop, and deploy AI/ML solutions with best practices in statistics, machine learning, deep learning, and foundational models to improve the profitability for Starr.
• Identify growth opportunities in underwriting, claims processing, risk assessment, and/or customer service through AI/ML augmentation.
• Collaborate cross-functionally with business, IT, and Transformation to drive scalability and impact of the AI/ML solutions.
• Communicate complex AI/ML concepts and findings to business leaders in a clear and concise manner.

Required Professional and Technical Expertise

• Master’s degree in Statistics, Data Science, Mathematics, Computer Science, Operational Research, or related disciplines.
• Ph.D. preferred.
• 2+ years of experience with advanced analytics techniques (e.g., decision tree, logistic regression, hierarchical regression, neural network, random forest, etc.).
• 2+ years expert level R or Python analytics experience with a proven track record in advanced analytics as well as hands-on experience with digital and CRM data (structured and unstructured).
• Proven ability to understand, cleanse, and integrate massive disparate data sets and demonstrated familiarity with data modeling workflow.
• Strong communication; ability to effectively translate complex analytics findings to business insights and recommendations.

Preferred Professional Technical Expertise

• Internship or project experience in AI engineering, machine learning, or a related field, preferably within the insurance or financial services industry.
• Knowledge of actuarial science and insurance-specific data sets.
• Passionate about data science and self-motivated to stay abreast of advances in data science techniques.
• Desire to work in a team-based dynamic and fast-paced business culture.

Benefits

A reasonable estimate of the current range is $135,000-$175,000.