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 AI/ML engineer is responsible for uncovering meaningful data patterns and transforming them into actionable insights by leveraging predictive modeling, data mining, and machine learning algorithms. This includes propensity and uplift modeling, classification models, forecasting, foundation models, and other methodologies. This individual will work alongside Senior AI/ML Engineers to develop scalable AI/ML solutions and provide data-driven and optimization insights across the enterprise. He/she will be passionate about learning and deploying leading technologies in the analytics space specific to the business needs to drive results and identify opportunities. As an AI/ML Engineer, this person will drive business impact by solving unique problems through advanced analytics, continuous improvement methodologies, and change management in a fast-paced environment. 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. 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-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. For individuals assigned and/or hired to work in New York, Starr Insurance Companies is required by law to include a reasonable estimate of the compensation range for this role. The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets: experience and training: licensure and certifications: and other business and organizational needs. A reasonable estimate of the current range is $135,000-$175,000. #LI-EP1 Starr is an equal opportunity employer, which means we ll consider all suitably qualified applicants regardless of gender identity or expression, ethnic origin, nationality, religion or beliefs, age, sexual orientation, disability status or any other protected characteristic. We recruit and develop our people based on merit and we re committed to creating an inclusive environment for all employees. We offer first class training and development opportunities to all employees. Our aim is to grow our own talent and bring out the best in people.

Requirements

Must-haves

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.
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.
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.
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.

Nice-to-haves

Master’s degree in Statistics, Data Science, Mathematics, Computer Science, Operational Research, or related disciplines. Ph.D. preferred.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimlmachine learningpython

Platform: workday
Effort: long