7 Starr Data Scientist Jobs Hiring Near You

Job Summary:
Starr Insurance Companies is a leading insurance and investment organization, providing commercial property and casualty insurance. The AI/ML Engineer will uncover meaningful data patterns and transform them into actionable insights by leveraging predictive modeling, data mining, and machine learning algorithms.
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.
Qualifications:
Required:
• 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:
• 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.
Company:
With 100+ years of experience across leading industries, We apply an innovation mindset, agile approach, And a global team with local expertise wherever you operate. Founded in 1919, the company is headquartered in New York, USA, with a team of 1001-5000 employees. The company is currently Late Stage.