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

Posted One Month Ago
New York, NY, USA
Hybrid
30K-40K Hourly
Internship
Artificial Intelligence • Cloud • Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Powered by purpose. Driven by people. Built to evolve.
The Role
Paid 10-week AI and data science internship supporting data analysis, dashboards, machine learning, generative AI, LLM, and AI application projects. Interns will work with technical and business stakeholders, research emerging technologies, develop prototypes, and present insights within the asset management industry. Undergraduate and master’s tracks offer exposure to business intelligence, cloud platforms, financial technology, and production-ready AI solutions.
Summary Generated by Built In
Job Requisition ID: 94786
Location 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 analytics
  • SQL, Tableau, Excel, and data visualization best practices
  • Artificial Intelligence and Machine Learning
  • Large Language Models (LLMs) and Generative AI
  • Natural 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 full-time early career opportunities within New York Life Investments based on business needs and individual performance.
Applications will be reviewed on a rolling basis, and interviews will begin no later than October.
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!
#LI-MW1
#Investmentscampus
Pay Transparency
Salary Range: $30 - $40 / hour
Overtime eligible: Nonexempt
Discretionary bonus eligible: No
Sales bonus eligible: No
Actual base salary will be determined based on several factors but not limited to individual's experience, skills, qualifications, and job location. Additionally, employees are eligible for an annual discretionary bonus. In addition to base salary, employees may also be eligible to participate in an incentive program.
Our Diversity Promise
We believe in a diverse workforce because it is our mission to advocate for the financial security and success of people in every community. This is why diversity, equity, and inclusion (DEI) are guiding principles that are embedded in our brand and our culture. Click here to learn more about how we have been recognized for our leadership.
Recognized as one of Fortune's World's Most Admired Companies, New York Life is committed to improving local communities through a culture of employee giving and volunteerism, supported by the Foundation. We're proud that due to our mutuality, we operate in the best interests of our policy owners. To learn more about career opportunities at New York Life, please visit the Careers page of www.NewYorkLife.com.
#BI-Hybrid

Skills Required

  • Currently pursuing a bachelor's degree in Computer Science, Data Science, Engineering, Statistics, Mathematics, Finance, Analytics, or a related quantitative discipline for the undergraduate track.
  • Currently pursuing a master's degree in Computer Science, Data Science, Analytics, Data Engineering, Artificial Intelligence, or a related field for the master's track.
  • Experience with Python or another programming language for the undergraduate track.
  • Strong understanding of statistics and data analysis for the undergraduate track.
  • Experience developing AI or machine learning applications for the master's track.
  • Familiarity with AWS, Azure, or GCP for the master's track.
  • Experience with Python, SQL, and machine learning frameworks for the master's track.
  • Experience with Microsoft Excel.
  • 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.
  • Authorization to work in the United States without employment-based immigration sponsorship, OPT, or CPT.
  • Familiarity with SQL, Tableau, Python, or Power BI beyond the stated track requirements.
  • Previous internship experience.
  • Leadership in campus organizations.
  • Relevant coursework.

What the Team is Saying

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New York Life Compensation & Benefits Highlights

  • Retirement Support — The package prominently features a defined‑benefit pension alongside a 401(k) with company match, with some materials noting day‑one vesting. This combination is repeatedly highlighted as a standout for long‑term security.
  • Parental & Family Support — Offerings include fertility support, adoption assistance, childcare and elder‑care resources, backup childcare/tutoring, and expanded paid new‑parent leave. These benefits are presented as broad, practical supports for caregivers.
  • Healthcare Strength — Listed benefits span medical, dental, vision, spending accounts, life and disability coverage, plus EAP, counseling, wellness resources, and fitness perks. The breadth of core health coverage is consistently emphasized for corporate roles.

New York Life Insights

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The Company
HQ: New York, NY
12,000 Employees
Year Founded: 1845

What We Do

At New York Life, our 180-year legacy of integrity, mutuality, and financial strength fuels a future defined by bold transformation. As the largest mutual life insurance company in the U.S., we operate on behalf of our policy owners—not shareholders. That structure allows us to take a long-term view, investing in people, purpose, and innovation that endures. Guided by a clear enterprise vision to become a technology-, data-, and AI-powered company, we’re modernizing our platforms, rearchitecting experiences, and embedding intelligence across our products and services. Our mission has always been about helping people through life’s most meaningful moments. Today, technology is amplifying that mission—enabling us to serve clients, advisors, and communities in more personalized, proactive ways. With a diversified business portfolio spanning insurance, investments, retirement, group benefits, and direct-to-consumer offerings, New York Life delivers the stability of a Fortune 100 company with the agility of one that’s continuously evolving. We’re powered by a values-led culture, inclusive teams, and a shared belief that when our people thrive, so does our company. Here, tradition fuels momentum—and your ideas, energy, and growth power what’s next.

Why Work With Us

New York Life is transforming from the inside out—blending 180 years of trust with the velocity of innovation. What makes us different is our culture: grounded in integrity, humanity, and shared success—values that show up in how we work, lead, and grow. If you want a place where innovation has purpose—build what's next with us.

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About our Teams

New York Life Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Typical time on-site: Not Specified
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HQNew York, NY
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