2026 NYL Direct Summer Internship Program - AI & DS

Shape your future with a dynamic internship experience at New York Life.Your internship journey is designed to challenge you through hands-on work experience that will equip you with valuable skills you can use anywhere. You will build your network through collaboration and connection with talented interns and experienced employees through team-building activities, mentorship programs, and fun social events. By the end of your internship, you'll be equipped with new skills and a network that will propel you forward in your career journey. 

Role Overview: 

Beginning in June and ending in August, this 10-week summer internship is part of the New York Life Direct (NYLD) program, the industry leader in direct-to-consumer life insurance. NYLD delivers streamlined life insurance solutions directly to individuals, bypassing traditional agent models.

As an Advanced Analytics (Data Science) Intern, you will be a member of the Advanced Analytics team, supporting data-driven decision-making across the business. The program offers valuable professional development through practical experience, exposure to senior leaders, and collaboration across functions including Finance, Marketing, Product, Research and Underwriting Strategy, Technology, Actuarial, and Insurance Operations.

This role follows a hybrid work model, with in-person workdays Tuesday–Thursday at our Tampa office.

What You’ll Do: 

As part of the Advanced Analytics team, you will:

• Support team members in daily analytics functions, including data querying, data preparation/manipulation, and exploratory data analysis

• Contribute to multiple analytics projects, which may include:

  • Test design and analysis

  • Ad-hoc analytical requests

  • Development of proof-of-concept models

  • Evaluation of variables for modeling purposes

• Apply academic learning to real-world business problems in a professional environment

• Build a foundational understanding of New York Life Direct’s business and analytics capabilities

• Participate in professional development workshops, networking events, and team-building activities

• Engage with senior professionals through fireside chats and structured networking opportunities

• Be considered for a potential full-time role after graduation

What You’ll Accomplish by the End of the Internship

By the end of the internship, you will have:

• A basic understanding of NYLD’s business related to the project areas you support

• A foundational understanding of NYLD’s analytics database infrastructure

• Completed several low- to moderate-complexity data tasks in support of assigned analytics projects

• Successfully delivered 1–2 medium to high-priority analytical projects under manager supervision

• Presented insights through influential presentations and discussions, including:

  • At least one midpoint presentation

  • One final presentation

• Received positive feedback from business stakeholders on the majority of presentations

What You’ll Bring

You bring strong communication skills, intellectual curiosity, and a desire to learn and grow in a data-driven environment. You are comfortable working with data, thinking analytically, and collaborating with others to solve complex problems.

Required Skills & Qualifications

• Currently pursuing (or in the process of completing) a graduate degree in a technical field such as:

  • Data Science

  • Statistics

  • Mathematics

  • Economics

  • Or a related discipline

• Basic proficiency in SQL and a statistical programming language such as R or Python

• Coursework in statistics, including regression modeling and design of experiments (preferred)

• Experience with data querying, data preparation, exploratory data analysis, and statistical modeling through coursework or project work

• Coding experience in an AWS environment is a plus

• Demonstrated leadership or meaningful contribution to academic, campus, or community activities

Application Details

• Applications are reviewed on a rolling basis

Curious what it’s like to intern at NYL? Check out #NYLEarlyCareers on LinkedIn!

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