Company Overview: THE COMPANY is undergoing a major transformation to become a modern, AI-driven insurance company. Its Data & AI team leads enterprise-wide intelligence and automation, creating measurable value through advanced AI/ML solutions. The Data Science Lab (DSL) drives innovation, testing, and scaling of cutting-edge AI to reimagine insurance in the age of agentic AI and LLMs.
Role Overview: THE COMPANY seeks a Senior Data Scientist, Agentic AI to design, build, and operationalize agentic AI systems, LLMs, and intelligent automation solutions. This high-visibility role involves direct collaboration with senior executives to bring next-generation AI to life, driving transformation in underwriting, claims, customer service, and risk assessment.
Qualifications
- Education: PhD + 2 years, or Master’s + 4 years in Statistics, Computer Science, Engineering, Applied Math, or related field.
- Experience: 3+ years hands-on AI/ML development.
- Technical:
- Strong foundation in probability, statistics, optimization, ML algorithms.
- Expertise in Python (PyTorch, TensorFlow, LangGraph).
- Experience with agentic AI, autonomous systems, reasoning, reinforcement learning.
- Soft Skills: Excellent communication, ability to collaborate cross-functionally with senior leaders, strong mentoring/leadership ability.
- Other: Analytical, detail-oriented, and execution-focused.
Key Responsibilities
- Design and deploy agentic AI solutions that automate workflows, enhance decision-making, and improve user experiences.
- Operationalize LLMs and generative AI to process unstructured data (contracts, claims, medical records, customer interactions).
- Build autonomous agents and multi-step reasoning systems integrated with THE COMPANY’s platforms.
- Collaborate with engineers and AIOps teams to ensure solutions are production-ready, scalable, and robust.
- Translate research in reinforcement learning and reasoning into practical enterprise solutions.
- Define use cases, design solutions, and measure ROI with business leaders and product teams.
- Contribute to DSL frameworks for testing, deployment, and standardization of AI/ML practices.
- Mentor junior data scientists and promote technical best practices.