Job Description

Location Designation: Hybrid - 3 days per week
When you join New York Life, you’re joining a company that values career development, collaboration, innovation, and inclusiveness. We want employees to feel proud about being part of a company that is committed to doing the right thing. You’ll have the opportunity to grow your career while developing personally and professionally through various resources and programs.
New York Life is a relationship-based company and appreciates how both virtual and in-person interactions support our culture.
New York Life, the largest writer of retail life insurance in the U.S. and a top player in annuities, long-term care, and mutual funds, is seeking a Gen AI Lead Data Scientist in its AI and Data team.
The company has 179 years of history and while usable data does not quite go back that far, we have a wealth of internal information on consumers, policies, and their performance, as well as applicants, prospects and our 12,000 agents. We also have a multitude of external data from a vast variety of sources. Analytical challenges range from mortality risk to agent recruiting decisions, service optimization, consumer analytics (segmentation, response, conversion, retention, up-sell), fraud detection, advertising allocation, and office footprint optimization.
Responsibilities:
- Supports and helps build a generative AI practice within AI & Data.
- Managing various stakeholders at the same level during solution design and project execution to successfully create solutions and deploy them into full production.
- Demonstrates to internal and external stakeholders how analytics can be implemented to maximize business benefits.
- Provides technical support, which includes strategic consulting, needs assessments, project scoping and the preparation/presentation of analytical proposals.
- Tests new statistical and machine learning methods, software, and data sources for continual improvement of quantitative solutions.
- Implements analytical models into production by collaborating with technology and ML Ops teams.
- Utilizes data visualization tools for model testing, modeling results and data patterns exhibition.
- Utilizes data wrangling/data matching/ETL techniques while programming in several languages to explore a variety of data sources, gain data expertise, perform summary analyses, and prepare modeling datasets.
- Deploys analytical solutions in production systems.
- Works closely with the business areas, IT, Legal, Government relations, and several other groups in designing, building, and implementing these solutions.
- Evangelizes the use of data-based decision making and Analytics within New York Life.
- Proactively and effectively communicates in various verbal and written formats with internal stakeholders on product design, data specification, model implementations, with partners on collaboration ideas and specifics, with internal clients and stakeholders on project/test results, opportunities, questions.
- Resolves problems and removes obstacles to timely and high-quality project completion.
- Works collaboratively with project and product managers within AI & Data and on other teams.
- Supports internal events, expos, lunch & learns, etc. with displays and presentations.
- Follows industry trends in insurance and related data/analytics processes, and businesses.
- Functions as the analytics expert in meetings with other internal areas and external vendors.
- Contributes ideas and actively participates in proof-of-concept tests of new processes and technologies.
- Stays up to date on existing and proposed legislation and regulation (on the federal and state level) that impact AI in underwriting.
- Assures compliance with regulatory and privacy requirements during design and implementation of modeling and analysis projects.
- Travels to events and vendor meetings as needed (< 5%).
- Mentors junior talent.
Required qualifications:
- Graduate-level degree with concentration in a quantitative discipline such as statistics, computer science, mathematics, economics, or similar.
- 4+ years of experience with predictive analytics using large and complex datasets.
- Substantial expertise in both parametric statistical modeling techniques (linear regression, GLM, survival analysis, time series, etc.) and non-parametric techniques (GBM, NN, NLP).
- Substantial prior programming experience in languages such as R, Python, SPARK, SQL.
- Demonstrated expertise in deploying real-time models into production environments. This includes production-ready code, containerizing models, testing, and integration into business processes.
- Detailed recent NLP experience (basic techniques, large language models, transformers, etc.).
- 2+ years of experience with generative AI solutions (both development and deployment/integration).
- Strong verbal and written communications skills, listening and teamwork skills, effective presentation skills.
- Experience with insurance or consumer financial data is a plus.
- Strong inclination for mentoring junior talent.
Location: 51 Madison Ave, Manhattan. Presence in the office is required Tuesday - Thursday
Salary range: $132,500-$197,500
Overtime eligible: Exempt
Discretionary bonus eligible: Yes
Sales bonus eligible: No
Click here to learn more about our benefits.
Starting salary is dependent upon several factors including previous work experience, specific industry experience, and/or skills required.
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. We invite you to bring your talents to New York Life, so we can continue to help families and businesses “Be Good At Life.”
To learn more, please visit LinkedIn, our Newsroom and the Careers page of www.NewYorkLife.com.
Job Requisition ID: 90508