Associate - Data Scientist

New York Life • New York, NY

8d • $81,000 - $115,500 • Hybrid

About The Position

As part of the Artificial Intelligence & Data (AI&D) organization, you will contribute to New York Life’s digital transformation by developing and deploying AI and machine learning solutions that enhance efficiency and improve client, agent, and employee experiences.
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 skills, learning enterprise AI practices, and delivering well-defined components of AI solutions. You will collaborate closely with Data Scientists, Engineers, and product and technology partners while developing an understanding of model lifecycle management, responsible AI principles, and New York Life’s technology ecosystem.

Requirements

• Advanced degree in Computer Science, Data Science, Machine Learning, AI, Engineering, Mathematics, Statistics, or a related quantitative field.
• 1–3 years of experience working with data, analytics, machine learning, or AI solutions.
• Foundational knowledge of machine learning concepts, statistics, and data analysis techniques.
• Foundational knowledge of Generative AI concepts (e.g., LLMs, prompt engineering).
• Proficiency in Python and SQL; working knowledge of core software engineering concepts (version control with Git/GitHub).
• Strong communication skills and a collaborative mindset.
• Curiosity, growth mindset, and interest in building a career in AI and Data Science.

Nice To Haves

• Experience in Life Insurance industry or consumer finance domains is a plus.

Responsibilities

• Execute AI/ML initiatives 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 business tasks with human-in-the-loop checkpoints, escalation thresholds, and safety guardrails.
• Assist in implementing and refining LLM/RAG approaches (vector stores, embeddings, retrieval optimization, prompt orchestration) with evaluators for reliability.
• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level