Data Scientist, Agentic AI

Guardian Life Insurance • Boston, MA

3d • Hybrid

About The Position

Guardian is on a transformation journey to evolve into a modern, forward-thinking insurance company committed to enhancing the wellbeing of its customers and their families. This role presents a distinctive opportunity to drive real-world impact by applying cutting-edge AI to transform how Guardian does business. Guardian’s Data & AI team spearheads a culture of intelligence and automation across the enterprise, creating business value from advanced data and AI solutions. Our team includes data scientists, engineers, analysts, and product leaders working together to deliver AI-driven products that power growth, improve risk management, and elevate customer experience. Guardian created the Data Science Lab (DSL) to reimagine insurance in light of emerging technology, evolving consumer needs, and rapid advances in AI. The DSL expedites Guardian’s transition to data-driven decision making and fosters innovation by rapidly testing, scaling, and operationalizing state-of-the-art AI. We are seeking a Senior Data Scientist, Agentic AI—an experienced individual contributor with deep expertise in AI/ML and a track record of turning advanced research into practical, impactful enterprise solutions. This role focuses on building, deploying, and scaling agentic AI systems, large language models, and intelligent automation solutions that reshape how Guardian operates, serves customers, and drives growth. You’ll collaborate directly with senior executives on high-visibility projects to bring next-generation AI to life across Guardian’s products and services.

Requirements

• 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.

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, 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.

Benefits

• At Guardian, you’ll have the support and flexibility to achieve your professional and personal goals.
• Through skill-building, leadership development and philanthropic opportunities, we provide opportunities to build communities and grow your career, surrounded by diverse colleagues with high ethical standards.
• As part of Guardian’s Purpose – to inspire well-being – we are committed to offering contemporary, supportive, flexible, and inclusive benefits and resources to our colleagues.
• Explore our company benefits at www.guardianlife.com/careers/corporate/benefits.
• Benefits apply to full-time eligible employees.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees