Internship Life Science Analyst Jobs (NOW HIRING)

Job Requisition ID: 94786

Location Designation: Hybrid - 3 days per week 

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.

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.

• 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.

• 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.

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

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.

• 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.

• 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.