Hybrid AI & Data Science Intern — Summer

New York Life; Tampa (FL); Hybrid; USD 36,000 - 47,000; Part time

Job summary

New York Life invites a Advanced Analytics (Data Science) Intern to join the NYLD program in Tampa for a 10-week summer internship. You will support analytics activities, learn modern AI/ML methods, and collaborate with Finance, Marketing, Product, and Technology teams.

You will engage in data exploration, modeling, and concept development, with mentorship, networking events, and potential for a full-time role after graduation. The role follows a hybrid schedule in Tampa.

Qualifications

• Currently enrolled in a graduate degree in a technical or quantitative field such as Data Science, Statistics, Mathematics, Economics, Computer Science, Business Analytics, or related discipline.
• Basic proficiency in SQL and a statistical programming language such as Python or R.
• Experience with data querying, data preparation, exploratory data analysis, statistical modeling, or machine learning through coursework, internships, or project work.

Responsibilities

• Support analytics teammates in daily tasks: data querying, preparation, and exploratory analysis.
• Contribute to multiple analytics projects including test design, ad-hoc requests, and development of proof-of-concept models.
• Apply AI and generative AI tools to analytics workflows and evaluate model performance.

Skills

SQL

Python

R

Communication

Collaboration

Education

Graduate degree in Data Science / Statistics / Mathematics / Economics / Computer Science / Business Analytics

Tools

AWS

Job description

New York Life invites a Advanced Analytics (Data Science) Intern to join the NYLD program in Tampa for a 10-week summer internship. You will support analytics activities, learn modern AI/ML methods, and collaborate with Finance, Marketing, Product, and Technology teams.

You will engage in data exploration, modeling, and concept development, with mentorship, networking events, and potential for a full-time role after graduation. The role follows a hybrid schedule in Tampa.