Senior AI/ML Engineer
AI summary of the role
This Senior AI/ML Engineer role is part of Starr's Enterprise Data and AI Organization, tasked with developing cutting-edge AI capabilities to drive profit growth in the insurance sector.
No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.
What you’ll do
- Design, develop, and deploy AI/ML solutions with best practices in statistics, machine learning, deep learning, and foundational models to improve 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 AI/ML solutions.
- Communicate complex AI/ML concepts and findings to business leaders in a clear and concise manner.
What you’ll bring
- Master’s degree in Statistics, Data Science, Mathematics, Computer Science, Operational Research, or related disciplines.
- 5+ years' experience with data science/machine learning techniques 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.
Technologies
Python · SQL · Azure · AWS · LLM · deep learning · neural networks · random forest · logistic regression · NLP
About Starr Insurance
Global commercial P&C insurer writing specialty lines (aviation, energy, marine, financial lines) across 128 countries for complex corporate and industrial risks.
Private Late · 2000–5000 people
Source and classification
Internal deployment & tooling · Evidence for this classification:
Starr Insurance Companies is a leading insurance and investment organization, providing commercial property and casualty insurance, including travel and accident coverage, to almost every imaginable business and industry in virtually every part of the world. Cornelius Vander Starr established his first insurance company in Shanghai, China in 1919. Today, we are one of the world’s fastest growing insurance organizations, capable of writing in 128 countries on 6 continents. Join the Starr Enterprise Data and Artificial Intelligence Organization and start reimagining the future of insurance. 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. The Senior AI/ML engineer is an important,
More from the job description
Starr Insurance Companies is a leading insurance and investment organization, providing commercial property and casualty insurance, including travel and accident coverage, to almost every imaginable business and industry in virtually every part of the world. Cornelius Vander Starr established his first insurance company in Shanghai, China in 1919. Today, we are one of the world’s fastest growing insurance organizations, capable of writing in 128 countries on 6 continents. Join the Starr Enterprise Data and Artificial Intelligence Organization and start reimagining the future of insurance. 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. The Senior AI/ML engineer is an important, integral part of the Data & AI team. This position is responsible for uncovering meaningful data patterns and transforming them into actionable insights by leveraging predictive modeling, data mining, machine learning algorithms, and foundational models. This individual will be responsible for developing scalable solutions to provide data-driven and optimization insights. He/she should have vast experience in machine learning/AI algorithms and demonstrated ability to innovate and customize when [... source excerpt omitted ...] business impact by solving unique problems through analytics and machine learning, continuous improvement in methodologies, and change management in a fast-paced environment. Key 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. Example includes classification models, forecasting, propensity and uplift modeling, foundational model fine-tuning, evaluation, and implementation, etc. Identify growth opportunities in underwriting, claims processing, risk assessment, and/or customer service through AI/ML augmentation. Collaborate cross-functional
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