Senior Data Scientist
Remote
Information
The Global Analytics team is seeking a Sr. Data Scientist to join our fast-paced, high energy team responsible for delivering predictive models to our business partners in order to influence business metrics positively. This position offers the opportunity to leverage the entire spectrum of AI tools towards solving a wide variety of business problems at Chubb using their own insurance industry experience coupled with a deep understanding of cutting-edge AI methods.
Responsibilities
Design, develop and implement AI solutions leveraging generative AI, LLMs and multi-modal models for building out risk assessment and guided underwriting solutions.
Build analytical solutions for complex P&C products including financial lines.
Collaborate with insurance underwriting and claims business partners and peers in the organization to understand and scope the problem, gather business requirements, and plan projects tasks and timelines.
Build data pipelines to create insurance specific risk signals from external data sources.
Define AI modeling architecture to optimize utilization of expensive computational resources.
Develop AI Ops processes for efficient development and deployment of models.
Execute all aspects of AI modeling initiative including data analysis, AI model selection, model development, model evaluation and benefit estimation.
Research, recommend, and implement AI methodologies appropriate for the given risk assessment problem or analysis.
Create excellent working relationships with business partners across the Chubb organization including actuarial, underwriting, IT and analytics peer groups towards enabling successful implementation of AI solutions.
Mentor junior data scientists towards improving their insurance domain knowledge and developing problem solving skills.
Research new techniques, provide thought leadership and identify opportunities to improve business outcomes through application of AI.
Company
Chubb
Requirements
Required Skills/Experience
8+ years of building AI models in the property and casualty insurance domain.
Experience delivering risk identification solutions for complex financial lines products.
Deep technical expertise in the areas of insurance pricing / rate making.
Programming experience in Python and Pyspark required with history of delivering production level code.
Experienced with the Azure stack of technology including Databricks.
Experienced with supervised and unsupervised modeling and emerging big data technologies.
Understanding of vector databases and approaches to integrating with Gen AI tools towards extraction of insights from large volumes of insurance-specific documents.
Experienced in development of machine learning & deep learning models, and ML Ops based deployment.
Text Analytics & Natural Language Processing experience including experience in building models on P&C specific corpus.
Familiar with working in matrixed structured in large organizations.