2027 New York Life Investment Management - AI & Data Science Internship

New York Life
New York, New York, United StatesPosted Sep 3, 2026
Data Science / ML

About the role

Job Requisition ID: 94786 Location Designation: Hybrid - 3 days per week Shape Your Future with a Dynamic Internship Experience at New York Life At New York Life, you'll have the opportunity to build meaningful skills while contributing to work that makes an impact. Our internship program offers hands-on experience across a variety of business areas, allowing you to collaborate with experienced professionals, develop your network, and gain exposure to the financial services industry. Throughout the summer, you'll participate in professional development sessions, networking events, mentorship opportunities, and social activities designed to support your growth. By the end of the internship, you'll have developed valuable business and technical skills, expanded your professional network, and gained meaningful experience to help launch your career. Role Overview The New York Life Investments Management (NYLIM) AI & Data Science Summer Internship Program is an exciting opportunity for undergraduate seniors and master's students interested in AI, data science, technology, and business intelligence. This 10-week paid internship begins in June 2027 and is based in our New York City office. Throughout the summer, interns will participate in business overviews, leadership presentations, networking opportunities, professional development workshops, and collaborative intern programming while gaining firsthand exposure to the asset management industry.

What You'll Do

Undergraduate AI & Data Science Track Collect, clean, and analyze structured and unstructured datasets. Build dashboards and visualizations that communicate meaningful business insights. Support machine learning projects from data preparation through model evaluation. Assist in developing proof-of-concept AI applications supporting investments, marketing, distribution, and client service. Research and evaluate emerging AI tools and technologies. Present findings to technical and business stakeholders. Master's AI

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