Senior 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.

• 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 to drive technical execution of modeling projects (from scoping, 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.
• Bachelor’s or Master’s degree in a computational science, economics or statistical field preferred.
• 5+ years analytics background with programming experience in Python or R required.
• 2+ years experience with predictive modelling in a P&C environment preferred.
• Experienced with development and implementation of machine learning and statistical models.
• Experience hosting machine learning models as APIs preferred (. experience with Docker, MLFlow, or Flask)
• Collaboration, knowledge sharing and keeping up to date on emerging industry trends.
• Passion for solving business problems through analytics.
• A good understanding of databases and approaches to extracting data.
• Desire to work in a fast passed, team-oriented environment.

The pay range for the role is $92,500 to $158,000. The specific offer will depend on an applicant’s skills and other factors.

This role may also be eligible to participate in a discretionary annual incentive program. Chubb offers a comprehensive benefits package, more details on which can be found .

The disclosed pay range estimate may be adjusted for the applicable geographic differential for the location in which the position is filled.