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

About the role

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.

Responsibilities

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 & Data Science Track

• Design and build AI-powered applications that solve real business challenges.
• Develop intelligent tools using enterprise AI platforms and cloud technologies.
• Explore large language models (LLMs) and Generative AI applications.
• Integrate AI solutions into business workflows.
• Prototype quick-win solutions that improve operational efficiency and user experience.
• Collaborate with engineers, data scientists, and business partners to deliver production-ready solutions.

Requirements

What You'll Bring

• Strong analytical and critical thinking skills
• Excellent written and verbal communication skills
• Strong organizational and project management abilities
• Attention to detail and problem-solving skills
• Ability to work independently and collaboratively
• Interest in investments, financial markets, analytics, operations, or technology
• Passion for artificial intelligence, machine learning, and data science
• Experience with Microsoft Excel; familiarity with SQL, Tableau, Python, or Power BI is a plus
• Previous internship experience, leadership in campus organizations, or relevant coursework is preferred but not required

Required Qualifications

Undergraduate Track

• Currently pursuing a bachelor's degree in Computer Science, Data Science, Engineering, Statistics, Mathematics, Finance, Analytics, or a related quantitative discipline.
• Experience with Python or another programming language.
• Strong understanding of statistics and data analysis.