Associate - 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 digital transformation by developing and deploying AI and machine learning solutions that enhance efficiency and improve client, agent, and employee experiences.

This role supports the development of AI solutions spanning traditional Machine Learning, Generative AI, and Agentic AI. The focus is 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.

• Execute AI and machine learning initiatives in partnership with data, technology, product, and business teams.
• Contribute to the end-to-end model lifecycle, including data exploration, feature development, model training and validation, deployment, monitoring, and iteration.
• Develop and help operationalize models using AWS services such as Sage Maker and Bedrock, along with modern data platforms including Snowflake and Databricks, ensuring quality, security, and scalability.
• Partner with machine learning engineers to support large-scale production deployment and solution scaling.
• Assist in designing and evaluating agentic and AI-powered solutions that automate routine business tasks with human-in-the-loop checkpoints, escalation thresholds, and safety guardrails.
• Support the implementation and refinement of LLM and RAG approaches, including vector stores, embeddings, retrieval optimization, and prompt orchestration, with evaluation for reliability and performance.
• Build lightweight UI prototypes (e.g., Streamlit) to validate usability and support user adoption.
• Adhere to model governance, documentation, testing, and CI/CD best practices in collaboration with MLOps teams.

• Advanced degree in Computer Science, Data Science, Machine Learning, Artificial Intelligence, 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 understanding of Generative AI concepts, including large language models and prompt engineering.
• Proficiency in Python and SQL, with working knowledge of core software engineering concepts such as version control using Git or Git Hub.
• Strong communication skills and a collaborative, team-oriented mindset.
• Curiosity, a growth mindset, and a strong interest in building a career in AI and Data Science.
• Experience in the life insurance industry or consumer finance domains is a plus.

Salary Range: $81,000-$115,500

Overtime eligible:
Exempt

Discretionary bonus eligible:
Yes

Sales bonus eligible:
No

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.

At New York Life, our 180-year legacy of purpose and integrity fuels our future. As we evolve into a more technology-, data-, and AI-enabled organization, we remain grounded in the values that drive lasting impact.

Our diverse business portfolio creates opportunities to make a difference across industries and communities—inviting bold thinking, collaborative problem-solving, and purpose-driven innovation. Here, you’ll find the rare balance of long-standing stability and forward momentum, supported by an inclusive team that honors tradition while embracing progress.

As a Fortune 100 mutual company, we offer a place to grow your skills, contribute to meaningful work, and deliver solutions that matter. Your ideas drive what’s next, and your growth powers it.

We provide a full package of benefits for employees – and have unique…