Job Summary

The Global Analytics team is seeking a 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

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. Design, develop and implement AI & ML solutions leveraging generative AI, LLMs and multi-modal models for building out risk assessment and guided underwriting solutions. Execute all aspects of AI & ML modeling initiative including data analysis, AI model selection, model development, model evaluation and benefit estimation. Design and write production-level code that meets high standards for machine learning application. Build data pipelines to create insurance specific risk signals from external data sources. Research, recommend, and implement AI & ML methodologies appropriate for the given risk assessment problem or analysis. Create excellent working relationships with business partners across the Chubb organization including claims, IT, and analytics peer groups towards enabling successful implementation of AI solutions. Research new techniques and identify opportunities to improve business outcomes through application of AI & ML. 3+ years of building AI & ML models.Programming experience in Python and Pyspark.Understanding of vector databases and approaches to integrating with Gen AI tools towards extraction of insights from large volumes of insurance-specific documents.Text Analytics & Natural Language Processing experience including experience in building models on P&C specific corpus.Familiarity with continuous integration/continuous deployment (CI/CD) tools such as Jenkins is preferred.Experienced with the Azure stack of technology including Databricks.Experienced with supervised and unsupervised modeling and emerging big data technologies.

 

Education

Bachelor’s or Master’s degree in a computational science or statistical field preferred.