Investment Management - AI & Data Science Internship

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

Job Description

Requisition ID94786

DepartmentNYLIMJob FunctionNYLIMLocation

New York,New York,United States Role Location Designation Hybrid - 3 days per week

Job

Requisition  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 & 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.

What You'll Learn Throughout the internship, you'll gain exposure to:

Business intelligence and analyticsSQL, Tableau, Excel, and data visualization best practices

Artificial Intelligence and Machine Learning Large Language Models (LLMs) and Generative AINatural Language Processing (NLP)
Cloud computing and enterprise AI platforms

Market data management and financial technology

What You'll Bring We're looking for students who are analytical, collaborative, and eager to solve business problems through data and technology.

Successful candidates will demonstrate:

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.

Master's Track 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.

High-performing interns may be considered for future…