Associate Data Scientist, Innovation and Research

About the Role

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. 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.

Pay Range: $65,000 - $105,000 annually

Key Responsibilities

• 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

Requirements & Tech Stack

• Understanding of artificial intelligence and machine learning concepts, including familiarity with large language models and model evaluation
• Strong programming, debugging, and software development skills
• Knowledge of computer science fundamentals, including data structures, operating systems, networking, and databases
• Understanding of system design principles and the ability to explain technical decisions and tradeoffs
• Familiarity with web development, version control, software testing, and application deployment practices
• Strong problem-solving skills, curiosity, initiative, and a continuous learning mindset
• Good collaboration skills and excellent written and verbal communication skills

Qualifications

• A graduate-level degree in computer science, data science, or another quantitative field (required)
• A doctoral degree (preferred)
• Coursework, research, internships, or project experience demonstrating application of data science, software development, artificial intelligence, or machine learning concepts
• Experience developing analytical, technical, or data-driven solutions (preferred)