Senior AI/ML Engineer

About the role

The Data and AI team at Starr builds first-of-a-kind capabilities that advance the insurance practice and scale across the entire enterprise. The team's ultimate mission is to develop cutting-edge data and AI capabilities that drive profit growth for Starr.

Responsibilities

• 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.
• Conduct research and stay up-to-date with the latest advancements in AI/ML to continuously improve our AI capabilities.

Requirements

• Master’s degree in Statistics, Data Science, Mathematics, Computer Science, Operational Research, or related disciplines.
• 5+ years' experience with data science/machine learning techniques (e.g., logistic regression, hierarchical regression, decision tree, random forest, neural networks, etc.) and 2+ years of experience working with LLM.
• Expertise in Python, SQL and with data science and data analytics packages working on structured and unstructured data.
• Experience with developing and industrializing scalable AI solutions from ideation to delivery.
• Expertise working in Azure, AWS or other cloud service using big data solutions.
• Proven ability to understand, cleanse, and integrate massive disparate data sets and demonstrated familiarity with data modeling workflow.
• Recognized for analytical rigor and ability to identify actionable insights from ambiguous and sometimes limited information.
• Strong communication, ability to effectively connect/translate complex analytics findings to business insights and recommendations.

Qualifications

• Ph.D. in Statistics, Data Science, Mathematics, Computer Science, Operational Research, or related disciplines.
• Natural language processing and natural language understanding expertise.
• Ability to gain consensus, to lead change and transformation.
• 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.
• Experience leading projects for one or more business units.
• Experience in the insurance industry, particularly in underwriting, claims processing, or risk management.
• Knowledge of actuarial science and insurance-specific data sets.

Skills

• Python
• SQL
• Big Data Solutions
• Azure, AWS or other Cloud Services
• Data Modeling Workflow
• Machine Learning Techniques
• Deep Learning
• Foundational Models

Benefits

Starr offers a comprehensive benefits package including health insurance, retirement plans, and paid time off.

Pay

A reasonable estimate of the current range is $180,000-$200,000.

Schedule

Full-time position.