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Guardian Life · 1 month ago

Data Scientist, Agentic AI (Insurance Underwriting)

New York

Full-time

Hybrid

Entry, Mid Level

$95K/yr - $156K/yr

2+ years exp

Guardian Life is on a transformation journey to modernize its insurance services with advanced AI technologies. They are seeking a Data Scientist specializing in Agentic AI to design and implement solutions that enhance decision-making and customer experiences through AI-driven automation and intelligent systems.

DentalFinancial ServicesHardwareInsuranceLife Insurance

No H1B

Responsibilities

Design and implement Agentic AI solutions that automate business workflows, improve decision-making, and enhance customer and employee experiences

Apply LLMs and generative AI to process and interpret unstructured data such as contracts, underwriting notes, claims, medical records, and customer interactions

Develop autonomous agents and reasoning systems that integrate with Guardian’s platforms to deliver measurable business outcomes

Collaborate with data engineers and AIOps teams to ensure models are scalable, robust, and production-ready

Translate research in agentic AI and reinforcement learning into practical applications for underwriting, claims automation, customer servicing, and risk assessment

Work closely with product owners, engineers, and business stakeholders to define use cases, design solutions, and measure impact

Contribute to the Data Science Lab by building reusable components and frameworks for developing and deploying agentic AI solutions

Adhere to AI and LLM governance, documentation, testing, and other best practices in partnership with key stakeholders

Qualification

Agentic AILarge Language ModelsNatural Language ProcessingAI/ML ModelingPythonMachine Learning TechniquesAnalytical SkillsProblem-SolvingCommunication SkillsCollaboration

Required

PhD with 0–1 years of experience, Master's degree with 2+ years, or Bachelor's degree with 4+ years in Statistics, Computer Science, Engineering, Applied Mathematics, or related field

2+ years of hands-on experience in AI/ML modeling and development

Solid understanding of probability, statistics, and machine learning fundamentals

Strong programming skills in Python and familiarity with frameworks like PyTorch, TensorFlow, and LangGraph

Experience with LLMs, generative AI, and multi-step reasoning systems

Excellent problem-solving and analytical skills with attention to detail

Strong communication skills and ability to collaborate effectively with product and engineering teams

Working knowledge of core software engineering concepts (version control with Git/GitHub, testing, logging, ...)

Working knowledge of a variety of machine learning techniques (clustering, decision tree, bagging/boosting artificial neural networks, etc.) and their real-world advantages/drawbacks