Chubb’s North America Property and Casualty Data Analytics Division is currently seeking an experienced Senior Data Scientist with 5+ years of industry experience to join our fast-paced, high-energy team. As a Senior Data Scientist for NA PC Analytics, you will perform quantitative data analysis to enable organizational decision making and develop solutions to complex business problems and create value to the business. This position offers exposure to a wide variety of analytics tools and technologies as well as unique challenges in problem-solving. Building and deploying generalized linear models in support of our pricing strategy will be a focus area. In this role, you will: Synthesize data to uncover inherent trends, assess impact of data on business usage, and to make recommendations for improvement. Build GLM pricing models in support of various insurance products such as homeowners, property and casualty. Research, recommend, and implement statistical and other mathematical methodologies appropriate for the given business problem. Builds explanatory and forecasting models using descriptive and inferential statistics, and regression analysis. Performs data validation and exploratory data analyses. Communicates analytical goals, approach, outcomes, and insights to both technical and non-technical audiences. Translate analytical findings into relevant business insights. Collaborate with business partners and peers within the organization to understand and scope the problem, gather business requirements, and develop robust model solutions that drive improvement in key business metrics. Effectively communicate with key stakeholders (both technical and non-technical) in written, oral and presentation formats. Create/Maintain excellent working relationships with business partners across the Chubb organization including Product, Actuarial, IT, and analytics peer groups. Lead teams of junior data scientists and engineers and provide guidance and mentorship directly and indirectly.