Planning Analytics and Risk Management - Associate Data Scientist, Innovation and Research

Make a difference with a career in insurance 

At The Cincinnati Insurance Companies, we put people first and apply the Golden Rule to our daily operations. To put this into action, we’re looking for extraordinary people to join our talented team. Our service-oriented, ethical, knowledgeable, caring associates are the heart of our vision to be the best company serving independent agents. We help protect families and businesses as they work to prevent or recover from a loss. Share your talents to help us reach for continued success as we bring value to the communities we serve and demonstrate that Actions Speak Louder in Person®. 

If you’re ready to build productive relationships, collaborate within a diverse team, embrace challenges, and develop your skills, then Cincinnati may be the place for you. We offer career opportunities where you can contribute and grow. 

Build your future with us
The Cincinnati Insurance Companies' Planning Analytics and Risk Management department has an open position for an Associate Data Scientist. This position will be based at our corporate headquarters in Fairfield, Ohio, reporting to the Innovation and Research leadership team.

The Innovation and Research team supports strategic initiatives across commercial and personal property and casualty insurance, reinsurance, and life insurance. The work may impact any stage of the insurance life cycle, ranging from agency relationships, marketing, risk selection, pricing, underwriting, loss control and risk mitigation, operations, retention, claims, and fraud. The team's goal is to bring new data, analytics, artificial intelligence, and technology into the corporation to improve business efficiency, effectiveness, growth, and profitability.

The pay range for this position is $65,000 - $105,000 annually. The pay determination is based on the applicant’s education, experience, location, knowledge, skills, and abilities. Eligible associates may also receive an annual cash bonus and stock incentives based on company and individual performance.

Be ready to:

• work closely with business and technology teams to understand needs, challenges, and opportunities
• learn business processes and identify pain points from stakeholders and subject matter experts
• design, build, and deploy full-stack applications, including user interfaces, backend services, APIs, and AI-enabled workflows
• write production-ready code with appropriate testing, documentation, error handling, and peer review
• assess business value, implementation effort, operational impacts, and technology tradeoffs
• contribute to system design, deployment, monitoring, troubleshooting, and continuous improvement efforts
• design and build machine learning models and evaluate model performance
• communicate findings, recommendations, and technical concepts to both technical and non-technical audiences