2027 Technology, Data, AI & Ventures Summer Internship Program - Data Scientist Intern

Job Requisition ID: 94544 Location Designation: Hybrid - 3 days per week Program

: Within the Tech, Data, AI, Ventures (TDAV) organization, our work is guided by a shared vision: deploying the power of technology, data, AI and ventures to accelerate sustainable competitive advantage for New York Life's businesses. We build solutions that power how we serve policy owners, agents, advisors and employees. Grounded in New York Life’s culture of long-term commitment, integrity and putting people at the center of what we do, our work reflects a purpose-driven approach to innovation. We engineer complex systems that translate into measurable business outcomes. Across technology, data, AI, cyber, product, digital experience, architecture and infrastructure, TDAV combines the scale and investment of an industry leader with the opportunity to work with leading-edge technologies and help shape how a world-class financial services company competes in the AI era — all backed by the stability and purpose of a mutual company built to last. Shape your future with a dynamic internship experience at New York Life. Your internship journey is designed to challenge you through hands-on work experience that will equip you with valuable skills you can use anywhere. You will build your network through collaboration and connection with talented interns and experienced employees through team-building activities, a collaborative intern capstone, and fun social events. By the end of your internship, you'll be equipped with new skills and a network that will propel you forward in your career journey.

: Focus on building and enhancing statistical and machine learning solutions, applying advanced tools and techniques to develop transformative AI and GenAI solutions for New York Life. Work closely with product, engineering, and business stakeholders to translate business questions into model-driven solutions. Contribute to the analytical model lifecycle, from problem framing and exploratory analysis through feature engineering and model validation. Communicate findings and business implications to both technical and non-technical audiences.