2027 New York Life Direct Summer Internship Program - AI & DS

New York Life Direct is the industry leader in direct-to-consumer life insurance, delivering streamlined life insurance solutions directly to individuals. The Advanced Analytics (Data Science) Intern will support data-driven decision-making through data preparation, exploratory analysis, statistical and machine learning approaches, and responsible use of artificial intelligence tools across business functions.

What you'll do:

• Support team members in daily analytics functions, including data querying, data preparation/manipulation, and exploratory data analysis
• Contribute to multiple analytics projects, which may include:
• Test design and analysis
• Ad-hoc analytical requests
• Development of proof-of-concept models
• Evaluation of variables for modeling purposes
• Explore and apply artificial intelligence and generative AI tools to support analytics workflows, including data exploration, coding, research, documentation, and analytical proof-of-concept development
• Apply statistical and machine learning approaches to business problems and evaluate model performance using appropriate analytical techniques
• Evaluate the effectiveness, limitations, and appropriate use of AI-assisted approaches, with attention to accuracy, data quality, privacy, and responsible AI practices
• Apply academic learning to real-world business problems in a professional environment
• Build a foundational understanding of New York Life Direct's business and analytics capabilities
• Participate in professional development workshops, networking events, and team-building activities

What they're looking for:

• Currently enrolled in and pursuing a graduate degree in a technical or quantitative field such as:
• Data Science
• Statistics
• Mathematics
• Economics
• Computer Science
• Business Analytics
• Or a related quantitative discipline
• Basic proficiency in SQL and a statistical programming language such as Python or R
• Experience with data querying, data preparation, exploratory data analysis, statistical modeling, or machine learning through coursework, research, internships, or project work
• Ability to critically evaluate analytical and AI-generated outputs for accuracy, appropriateness, and limitations
• Strong written and verbal communication skills, intellectual curiosity, and demonstrated ability to collaborate effectively

Benefits:

• Hybrid work model, with in-person workdays Tuesday-Thursday at our Tampa office.
• Team-building activities, mentorship programs, and fun social events.
• Professional development workshops and networking events.
• Exposure to senior leaders through fireside chats and structured networking opportunities.
• Discretionary bonus eligible: Yes.
• Employees are eligible for an annual discretionary bonus.
• Employees may also be eligible to participate in an incentive program.
• Be considered for a potential full-time role after graduation.