Senior Data Scientist

Senior Data ScientistWe 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 client 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 client's products and services.You Will: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 client 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.You have:PhD with 2+ years of experience, Master's degree with 4+ years of experience in Statistics, Computer Science, Engineering, Applied mathematics or related field3+ years of hands-on AI modeling/development experienceStrong theoretical foundations in probability & statisticsStrong programming skills in Python including PyTorch, Tensorflow, LangGraphSolid background in machine learning algorithms, optimization, and statistical modelingStrong communication skills and the capability to work and collaborate across Product, Engineering, and other fields at both the leadership and hands-on levelsExcellent analytical and problem-solving abilities with superb attention to detailProven leadership in providing technical leadership and mentoring to data scientists and strong management skills with ability to monitor/track performance for enterprise success.