New York Life Insurance Company · 2 days ago
Senior Associate - Senior Data Scientist
New York Life Insurance Company is evolving into a more technology, data, and AI-enabled organization. The Senior Data Scientist will contribute to digital transformation by developing and deploying AI and machine learning solutions to enhance service operations and improve experiences for clients, agents, and employees.
FinanceFinancial ServicesInsurance
Responsibilities
Execute AI/ML initiatives for Service operations in partnership with data, technology, product and business teams
Contribute to the end-to-end model lifecycle: data exploration, feature development, model training/validation, deployment, monitoring, and iteration
Develop and help operationalize models using AWS (e.g., SageMaker, Bedrock) and modern data platforms (Snowflake, Databricks), ensuring quality, security, and scalability; partner with ML engineers for large-scale production deployment and scaling
Assist in designing and evaluating agentic/AI-powered solutions that automate routine service tasks with human-in-the-loop checkpoints, escalation thresholds, and safety guardrails
Implement and refine LLM/RAG approaches (vector stores, embeddings, retrieval optimization, prompt orchestration) with evaluators for reliability
Ensure AI capabilities are accessible through APIs, dashboards, and integrated workflow applications used by service teams
Build lightweight UI prototypes (e.g., Streamlit) to validate usability and support adoption
Adhere to model governance, documentation, testing, and CI/CD best practices in partnership with MLOps
Qualification
Required
Advanced degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative field
8+ years of experience applying data science and AI/ML to real-world business problems
Ability to communicate complex ideas simply, presenting impact, trade-offs, and recommendations to non-technical partners
Proficiency in Python and SQL; working knowledge of core software engineering concepts (version control with Git/GitHub, testing, logging)
Experience with AWS services (e.g., SageMaker, Bedrock) and modern data ecosystems (Snowflake/Databricks)
Working knowledge of LLMs, RAG architecture, and agent frameworks, including safe automation design and evaluation practices
Solid grounding in ML methods (supervised and unsupervised learning, gradient boosting exposure to deep learning), feature engineering, regularization, cross-validation
Ability to translate analytical findings into clear business insights and collaborate effectively with cross-functional partners
Preferred
Experience in customer service or consumer finance domains is a plus
Benefits
Leave programs
Adoption assistance
Student loan repayment programs
Company
New York Life Insurance Company
For over 180 years, we’ve helped turn your biggest dreams into milestones that last a lifetime.
H1B Sponsorship
New York Life Insurance Company has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (149)
2024 (99)
2023 (85)
2022 (77)
2021 (48)
2020 (65)
Funding
Current Stage
Late StageLeadership Team
Recent News
2026-01-05
Insurance News in the United States
2025-12-13
EIN Presswire
2025-12-11
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