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Guardian Life · 2 weeks ago

Senior Data Scientist, Agentic AI (Insurance Underwriting)

New York, NY

Full-time

Hybrid

Mid, Senior Level

$119K/yr - $195K/yr

4+ years exp

Guardian Life is on a transformation journey to become a modern insurance company focused on enhancing customer wellbeing. They are seeking a Senior Data Scientist with expertise in agentic AI and large language models to drive the development and deployment of AI-driven solutions that automate workflows and improve decision-making.

DentalFinancial ServicesHardwareInsuranceLife Insurance

No H1B

Responsibilities

Lead the design and implementation of agentic AI solutions and LLM-powered applications that automate business processes and improve customer and employee experiences

Drive the end-to-end model lifecycle: data exploration and preparation, model finetuning, validation, deployment, and monitoring, ensuring quality, security, scalability, and fairness

Apply LLMs and generative AI to process and interpret unstructured data (e.g., insurance applications, underwriter’s notes, medical records, customer interactions)

Develop autonomous agents, multi-step reasoning systems, and advanced NLP pipelines that integrate with Guardian’s platforms

Translate research in agentic AI, LLMs, and reinforcement learning into practical, production-ready solutions for underwriting automation, claims automation, customer servicing, and risk assessment

Collaborate with data engineers, MLOps/AIOps, and product teams to ensure robust, scalable, and maintainable solutions

Contribute to standardization of tools, processes, and best practices

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

Present results and recommendations to technical and non-technical audiences, including senior leadership

Stay current on industry trends, emerging technologies, and best practices in agentic AI, LLMs, and NLP

Qualification

Agentic AILarge Language Models (LLMs)Natural Language Processing (NLP)AI/ML modelingPythonPyTorchTensorFlowData wranglingProject managementAnalytical skillsCommunication skillsProblem-solving

Required

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

Experience in Insurance Underwriting

3+ years of hands-on experience in AI/ML modeling and development, with a primary focus on agentic AI, LLMs, and NLP

Deep expertise in LLMs, generative AI, agentic systems, NLP, and multi-step reasoning architectures (e.g., LangGraph, RAG, agent frameworks)

Strong programming skills in Python and familiarity with frameworks such as PyTorch, TensorFlow, Hugging Face Transformers, and LangChain

Demonstrated experience building, fine-tuning, and deploying LLMs and NLP solutions in production environments

Working knowledge of classical machine learning techniques (e.g., clustering, regression, XGBoost, Random Forest, decision trees) and their practical applications

Experience with data wrangling, distributed computing, and applying parallelism to ML solutions

Proven experience in providing technical leadership and mentoring to data scientists and strong project management skills with ability to monitor/track performance for enterprise success

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

Excellent analytical, problem-solving, and communication skills