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

New York Life•New York, NY

7d•$30 - $40•Hybrid

About The Position

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.

Requirements

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.
Currently pursuing a master's degree in Computer Science, Data Science, Analytics, Data Engineering, Artificial Intelligence, or a related field.
Experience developing AI or machine learning applications.
Familiarity with cloud platforms such as AWS, Azure, or GCP.
Experience with Python, SQL, and machine learning frameworks.
Analytical, collaborative, and eager to solve business problems through data and technology.
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
Must be authorized to work in the U.S. We do not offer any type of employment-based immigration sponsorship for this program. Likewise, this program is not available to those authorized to work under optional practical training (OPT) or curricular practical training (CPT).

Nice To Haves

Previous internship experience, leadership in campus organizations, or relevant coursework is preferred but not required.

Responsibilities

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.
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.