The Global Analytics team is seeking a Sr. Data Scientist to join our fast-paced, dynamic team responsible for developing and delivering machine learning models and AI solutions in Claims space. Our work directly impacts our business partners and positively influence business metrics.
Requirements
- Leverage the entire spectrum of AI tools including transformer-based models, LLMs and RAG-based approaches towards solving a wide variety of business problems at Chubb.
- Proficient in managing and leading projects from conception to completion.
- Develop predictive models and algorithmic solutions.
- Build analytical solutions for complex P&C claims operations.
- Build data pipelines to create insurance specific risk signals from external data sources.
- Develop AI Ops processes for efficient development and deployment of models.
- Implement AI methodologies appropriate for the given risk assessment problem or analysis.
Responsibilities
- Utilize an extensive understanding of AI and machine learning to develop predictive models and algorithmic solutions.
- Build analytical solutions for complex P&C claims operations.
- Build data pipelines to create insurance specific risk signals from external data sources.
- Develop AI Ops processes for efficient development and deployment of models.
- Research, recommend, and implement AI methodologies appropriate for the given risk assessment problem or analysis.
- Lead end-to-end projects using advanced data modeling and analysis techniques to discover insights that guide strategic decisions and uncover opportunities.
Other
- Collaborate with claims business partners and peers in the organization to understand and scope the problem, gather business requirements, and plan projects tasks and timelines.
- Mentor junior data scientists towards improving their domain knowledge, modeling capabilities, and developing problem solving skills.
