Job Requisition ID: 93153
Location Designation: Hybrid - 3 days per week
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
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
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.
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
Applications are reviewed on a rolling basis
Curious what it’s like to intern at NYL? Check out #NYLEarlyCareers on LinkedIn!
#NYLDirectcampus
#LI-CV1
Pay Transparency
Salary Range: $30/hr
Overtime eligible: Nonexempt
Discretionary bonus eligible: Yes
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 .
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