Senior Data Scientist, Agentic AI

Overview

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 an outstanding opportunity to build a real-world impact by applying innovative AI to revolutionize how Guardian operates.

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 leaders on high-visibility projects to bring next-generation AI to life across Guardian’s products and services.

• Design and deploy Agentic AI solutions to automate complex business workflows, enhance decision-making, and improve customer and employee experiences.
• Operationalize cutting-edge LLMs and generative AI to process and understand unstructured data such as contracts, claims, medical records, and customer interactions.
• Build autonomous agents and multi-step reasoning systems that integrate with Guardian’s core platforms to deliver measurable business impact.
• Partner with data engineers and AIOps teams to ensure AI models are production-ready, scalable, and robust, from prototype to enterprise deployment.
• Translate research in agentic AI, reinforcement learning, and reasoning into practical solutions that support underwriting, claims automation, customer servicing, and risk assessment.
• Collaborate with product owners, engineers, and business leaders to define use cases, design solutions, and measure ROI.
• Contribute to the Data Science Lab by establishing repeatable frameworks for developing, testing, and deploying agentic AI solutions.
• Mentor junior data scientists and contribute to the standardization of AI/ML practices, tools, and frameworks across Guardian.

You are:

• Passionate about pushing the frontier of AI while applying it to solve real-world business problems.
• Excited by the potential of agentic AI, autonomous systems, and LLM-based solutions to transform industries.
• A hands-on builder who thrives on seeing AI solutions move from proof-of-concept to real-world deployment.
• Comfortable working in multi-disciplinary teams and engaging with senior business leaders to align AI solutions with enterprise goals.

• PhD with 2+ years of experience, Master's degree with 4+ years of experience in Statistics, Computer Science, Engineering, Applied mathematics or related field
• 3+ years of hands-on AI modeling/development experience
• Strong theoretical foundations in probability & statistics
• Strong programming skills in Python including PyTorch, Tensorflow, LangGraph
• Solid background in machine learning algorithms, optimization, and statistical modeling
• Strong communication skills and the capability to work and collaborate across Product, Engineering, and other fields at both the leadership and hands-on levels
• Excellent analytical and problem-solving abilities with superb attention to detail
• Proven leadership in providing technical leadership and mentoring to data scientists and strong management skills with ability to monitor/track performance for enterprise success

• Three days a week at our Guardian office in New York, NY, Holmdel, NJ, Boston, MA or Bethlehem, PA.

Salary Range:

The salary range reflected above is a good faith estimate of base pay for the primary location of the position. The salary for this position ultimately will be determined based on the education, experience, knowledge, and abilities of the successful candidate. In addition to salary, this role may also be eligible for annual, sales, or other incentive compensation.

Our Promise

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.

Inspire Well-Being

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. Interns are not eligible for most Company benefits.

Equal Employment Opportunity

Guardian is an equal opportunity employer. All qualified applicants will be considered for employment without regard to age, race, color, creed, religion, sex, affectional or sexual orientation, national origin, ancestry, marital status, disability, military or veteran status, or any other classification protected by applicable law.

Accommodations

Guardian is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Guardian also provides reasonable accommodations to qualified job applicants (and employees) to accommodate the individual's known limitations related to pregnancy, childbirth, or related medical conditions, unless doing so would create an undue hardship. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact [email protected].

Current Guardian Colleagues: Please apply through the internal Jobs Hub in Workday.