Job Requisition ID: [[id]]
Location Designation: [[cust_rolelocationdesignation]]
Program Overview:
Within the Tech, Data, AI, Ventures (TDAV) organization, our work is guided by a shared vision: deploying the power of technology, data, AI and ventures to accelerate sustainable competitive advantage for New York Life's businesses. We build solutions that power how we serve policy owners, agents, advisors and employees. Grounded in New York Life's culture of long-term commitment, integrity and putting people at the center of what we do, our work reflects a purpose-driven approach to innovation.
We engineer complex systems that translate into measurable business outcomes. Across technology, data, AI, cyber, product, digital experience, architecture and infrastructure, TDAV combines the scale and investment of an industry leader with the opportunity to work with leading-edge technologies and help shape how a world-class financial services company competes in the AI era - all backed by the stability and purpose of a mutual company built to last.
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, a collaborative intern capstone, 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.
What You'll Do:
Focus on building and enhancing statistical and machine learning solutions, applying advanced tools and techniques to develop transformative AI and GenAI solutions for New York Life. Work closely with product, engineering, and business stakeholders to translate business questions into model-driven solutions. Contribute to the analytical model lifecycle, from problem framing and exploratory analysis through feature engineering and model validation. Communicate findings and business implications to both technical and non-technical audiences.
Required Skills:
Undergraduate or Graduate student pursuing a degree in Data Science, Computer Science, Artificial Intelligence, Statistics, or a related technical field
Proficiency in R, Python, SQL, traditional Machine Learning and core statistical methods including probability, hypothesis testing, and statistical inference
Additionally, a foundational understanding of generative AI principles, including LLMs, RAG, vector embeddings, prompt engineering, and LLM-based application development with pre-trained and fine-tuned models.
Eligibility Criteria:
Currently pursuing a bachelor's or master's degree with an expected graduation date of December 2027 or May 2028
Available to work full-time for the entire duration of the 11-week Summer Internship Program (May to August)
Able to work in a hybrid environment, with three days per week on-site in New York City
Passionate about technology, data, AI, and innovation, with a collaborative mindset and a desire to learn and make an impact
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).
As part of the Technology, Data & Analytics Ventures (TDAV) Internship Program, this posting represents one of seven specialized internship opportunities: AI Engineer (MLOps), Software Engineer, Data Engineer, Platform Engineer, Security Engineer, Data Scientist, and Analyst. We encourage candidates to explore all available TDAV internship postings and apply for the role(s) that best align with their skills, interests, and career aspirations.
Curious what it's like to intern at NYL? Check out#NYLEarlyCareers (https://www.linkedin.com/search/results/all/?keywords=%23nylearlycareers&origin=GLOBAL\SEARCH\HEADER&sid=EkO) on LinkedIn!
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Pay Transparency
Salary Range: [[cust_salaryRangePosting]]
Overtime eligible: [[customString6]]
Discretionary bonus eligible: [[cust_merit]]
Sales bonus eligible: [[stockPackage]]
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 Benefits
We provide a full package of benefits for employees - and have unique offerings for a modern workforce, including leave programs, adoption assistance, and student loan repayment programs. Based on feedback from our employees, we continue to refine and add benefits to our offering, so that you can flourish both inside and outside of work.Click here (https://performancemanager8.successfactors.com/doc/custom/NYLPRD/6338\0524%20HR%20Talent%20Acquisition%20Employee%20Benefits%20PDF\NYL_FINAL.pdf) to discover more about our comprehensive benefit options or visit ourNYL Benefits Site (https://nylbenefits.com/) .
Our Commitment to Inclusion
At New York Life, fostering an inclusive workplace is fundamental to who we are and how we serve our communities. We have a longstanding commitment to creating an environment where individuals can contribute their best and succeed together. This foundation is rooted in our core values of humanity and integrity, ensuring that every employee feels valued and supported. By embracing a broad range of perspectives and experiences, we achieve greater success and fulfill our promise of providing financial security and peace of mind to families across all communities. Click here (https://www.newyorklife.com/newsroom/featured-awards) to learn more about New York Life's leadership in this space.?
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 (http://www.newyorklife.com/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 theCareers (https://www.newyorklife.com/about/careers/) page of www.NewYorkLife.com .
Job Requisition ID: [[id]]
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