Senior AI Data Scientist - Enterprise Analytics & AI Leader

Munich Reinsurance America, Inc; Chesapeake (OH); Hybrid; USD 150,000 - 210,000; Full time

Benefits offered by this job

Health insurance (PPO)

401k with employer match

Hybrid work environment

On-site cafeteria

Job summary

American Modern Insurance Group, Inc., a Munich Re company, is seeking a Principal AI Data Scientist to build, deploy, and scale enterprise AI solutions from Amelia, Ohio. The role focuses on predictive analytics, leading modeling projects, and delivering data-driven business insights across multiple functions.

You will work in a hybrid environment with clear opportunities to drive improvements in profitability, customer satisfaction, and policy growth while collaborating with internal and

Qualifications

• 6+ years in data science/predictive analytics in (re)insurance or 8+ years in another industry.
• Experience presenting results to internal and external customers.
• Ability to lead modeling projects and mentor junior team members.

Responsibilities

• Prepare predictive analytics analyses and models with general guidance for complex projects.
• Develop presentations of results to customers and management as requested.
• Lead projects yielding actionable business insights.
• Document assumptions, results, and alternatives; communicate with regulators when needed.
• Provide hands-on leadership across the AI lifecycle from development to production.

Skills

Statistical programming (R, Python, S

SQL

Machine learning techniques

Data wrangling and data quality

Education

Master's degree in Business Analytics, Statistics, Computer Science, or related double major

Job description

American Modern Insurance Group, Inc., a Munich Re company, is seeking a Principal AI Data Scientist to build, deploy, and scale enterprise AI solutions from Amelia, Ohio. The role focuses on predictive analytics, leading modeling projects, and delivering data-driven business insights across multiple functions.

You will work in a hybrid environment with clear opportunities to drive improvements in profitability, customer satisfaction, and policy growth while collaborating with internal and