AI & Data Science Internship — Hybrid NYC (Paid, Summer)

New-York-Life; New York (NY); Hybrid; USD 41,328,000 - 55,104,000; Part time

Job summary

New York Life Investments Management (NYLIM) offers a 10-week AI & Data Science Summer Internship in New York City. Undergrad seniors and master's students gain hands-on experience across AI, data science, and business intelligence.

The program includes leadership presentations, mentorship, and networking, with exposure to the asset management industry. The role features undergraduate and master's tracks, cloud/enterprise AI exposure, collaboration with cross-functional teams, and opportunities

Qualifications

• Undergraduate track: pursuing a bachelor’s degree in a quantitative field and programming experience.
• Master's track: pursuing a master’s in AI/data science or related field with ML experience.
• Familiarity with cloud platforms and data analysis tooling is a plus.

Responsibilities

• Collect, clean, and analyze structured and unstructured datasets.
• Build dashboards and visualizations communicating business insights.
• Support ML projects from data prep through model evaluation.
• Develop AI-powered applications to support investments and client service.
• Research and evaluate emerging AI tools; present findings to stakeholders.
• Collaborate with engineers and data scientists to deliver production-ready solutions.

Skills

Analytical thinking

Collaboration

Communication

Organization

Project management

Problem solving

Education

Bachelor's degree (CS/Data Science/Engineering/Statistics/Math/Finance/Analytics)

Master's degree (CS/Data Science/Analytics/AI)

Tools

Python

SQL

Tableau

Excel

Power BI

AWS/Azure/GCP

Job description

New York Life Investments Management (NYLIM) offers a 10-week AI & Data Science Summer Internship in New York City. Undergrad seniors and master's students gain hands-on experience across AI, data science, and business intelligence.

The program includes leadership presentations, mentorship, and networking, with exposure to the asset management industry. The role features undergraduate and master's tracks, cloud/enterprise AI exposure, collaboration with cross-functional teams, and opportunities