Senior Associate - Lead Data Scientist

Location Designation:

Hybrid - 3 days per week As part of the Artificial Intelligence & Data (AI&D) organization, you will contribute to New York Life's AI-led transformation by developing and supporting the deployment of AI and Machine Learning solutions that enhance efficiency, enable a seamless customer experience, and improve client, agent, and employee experiences, delivering unparalleled value as the firm continues to become tech, data, and AI enabled. This role will support the development of AI solutions, spanning traditional Machine Learning, Generative AI, and Agentic AI. The role focuses on building core technical solutions, following enterprise AI practices/tools, and delivering well-defined components of AI solutions. You will collaborate closely with Business stakeholders, Data Scientists, Engineers, product and technology partners while developing an understanding of model lifecycle management, responsible AI principles, and New York Life's technology ecosystem.

What You'll Do:

Execute AI/ML and GenAI initiatives in partnership with data, technology, product and business teams. Deliver business-aligned OKRs, ensuring AI initiatives are outcome-driven and tied to enterprise value creation. Deliver major portions of Model Development Life Cycle (MDLC) from data exploration and feature engineering to model training, validation, deployment, and performance monitoring. Develop and help operate models using cloud platforms (e.g., AWS, GCP) and modern data platforms (Snowflake, Databricks), ensuring quality, security, and scalability, partnering with ML engineers for large-scale production deployment and scaling. Assist in designing and evaluating agentic/AI-powered solutions that automate routine business 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. Work with AI Engineers to ensure AI capabilities are accessible through APIs, dashboards, and integrated workflow applications used by business 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. Stay informed on industry trends by engaging in relevant conferences and sharing key insights with internal and external audiences as appropriate. This role involves limited travel (