Data Scientist

This position offers the opportunity to leverage the entire spectrum of analytics tools towards solving a wide variety of business problems. The focus is on applying a combination of industry standard practices and innovative ideas using structured and unstructured data from multiple sources and applying AI, machine learning and statistical techniques to build, evaluate and implement models. Our team focus’ on creating analytical solutions that solve real world business problems for all lines of business. Analytics empowered technology platforms are changing the way we operationalize model outputs at Chubb. This role will work closely with engineering teams to deploy models as APIs into various cutting-edge platforms. This is a great opportunity to create analytic solutions for multiple lines of business, deepening your insurance product knowledge.

Responsibilities

• Partner with Product Owners and other data scientists on modeling projects (model development & review to implementation).
• Execute all aspects of analytics initiatives including exploratory data analysis, machine learning model development, model evaluation and benefit estimation.
• Build modeling frameworks that can be leveraged for multiple projects. High focus on code reproducibility and creating generalizable technology assets for analytics teams.  
• Create excellent working relationships with business partners across the Chubb organization, IT and analytics peer groups.
• Effectively communicate results in written, oral and presentation formats.
• Monitor performance of models and report findings to business partners. 

• Bachelor’s or Master’s degree in Data Science, Mathematics, Computer Science, Statistics, Analytics, Physics, or a related field. 
• 3+ years of experience in an analytics driven role. Business experience and knowledge of P&C industry is a plus.
• Expert python and SQL programming (3+ years hands on development).
• Experienced with development and implementation of machine learning and statistical models. 
• Collaboration, knowledge sharing and keeping up to date on emerging industry trends. 
• Passion for solving business problems through analytics.
• Advanced understanding of databases and approaches to extracting data.
• Desire to work in a fast passed, team-oriented environment.