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The New York Life Insurance Co invites rising sophomores, juniors, and seniors to participate in its 2027 Business Analytics & Digital Transformation Summer Internship in New York, NY. The program is hybrid, beginning June 1 and ending August 5, with remote Mondays and Fridays.
Interns join the Business Analytics & Digital Solutions pathway, solving real business challenges using data analytics, digital tools, and innovative solutions within a Fortune 100 company.
New York, New York, United States
Hybrid
The New York Life Summer Internship experience offers an exciting opportunity for rising sophomores, juniors and seniors looking to gain exposure to a corporate environment. As part of your summer, you'll participate in learning and development activities, gaining insight into our business and how our company functions. The summer internship program also includes additional social and networking opportunities where you will be able to expand your network with peers, mentors and senior leaders.
The Summer Internship opportunity is 10 weeks long, beginning Tuesday June 1st, 2027, and concluding Thursday, August 5, 2027. Interns will work on a hybrid schedule with Mondays and Fridays remotely.
Internship opportunities may be located in: New York, NY, White Plains, NY or Jersey City, NJ. Location is dependent upon the exact team you are aligned to; however, you will be able to specify your preferences on the job application.
What You’ll Do:
Join New York Life's Business Analytics & Digital Solutions pathway and help solve real business challenges through analysis, problem solving, and digital solutions. Gain hands-on experience using analytics to uncover insights, improve processes, and help teams make smarter decisions.
As an intern, you will explore how analytics, digital tools, and innovative solutions support decision-making across a Fortune 100 company.
Interns in this pathway are placed on a team within one of several departments, based on business need. You'll have the opportunity to apply analytical skills, experiment with digital platforms, and collaborate with professionals on projects that combine data, strategy, and technology.
Projects may include:
This pathway is ideal for students who are curious about how businesses use data to make decisions, enjoy working with technology, and want to build skills in analytics, problem-solving, and digital tools that are highly valued in today's workplace.
What You’ll Bring:
Preferred Skills:
To be eligible for this program, you 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).
Curious what it’s like to intern at NYL? Check out #NYLEarlyCareers on LinkedIn!
Salary range: $27 / hour
Discretionary bonus eligible: No
Find benefits that support your unique family situation, including fertility assistance, paid new-parent benefits, backup childcare services, free virtual tutoring, and more.
Enjoy a more secure future with a company-sponsored pension plan for eligible employees and a savings plans with a company match 1 .
Take advantage of our tuition reimbursement program to further your education and advance your career with job-related courses and programs.
Take time for yourself and your loved ones. Enjoy reduced working hours during the summer months.
Disclaimer 1 : Eligibility for, and benefits under, the Pension Plan and 401(k) Savings Plan ("Plans") are determined in accordance with the terms of the applicable plan document. Employees of certain subsidiaries, including but not limited to Group Benefit Solutions, employees of Life Insurance Company of North America and New York Life Group Insurance Company of NY, are not eligible to participate in the Pension Plan. In the event of a conflict between this information and the applicable plan document, the applicable plan document governs. The Company reserves the right to amend or terminate the Plans at any time.