Data Scientist

Company Description

Chubb is the world's largest publicly traded property and casualty insurer. With operations in 54 countries, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance and life insurance to a diverse group of clients. The company is distinguished by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength, underwriting excellence, superior claims handling expertise and local operations globally.

Job Summary

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 insurance products. 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

• Collaborate with business partners and peers in the organization to understand and scope the problem, gather business requirements, and plan projects tasks and timelines.

• 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 leadership.