Principal AI Data Scientist

Munich Re•Cincinnati, OH

6h•Hybrid

About The Position

American Modern Insurance Group, Inc., a Munich Re company, is seeking a Principal AI Data Scientist to use data and statistical analysis to drive business decisions and improve results across functional areas. The role focuses on complex predictive analytics and modeling, producing actionable insights that support customer satisfaction, policy growth, retention, and profitability. The position provides hands-on leadership across the AI lifecycle, from model development and evaluation through production deployment, with an emphasis on scalable, reliable, and governed solutions that deliver business value. The role also involves leading and developing team members, communicating analytical findings to business partners and management, maintaining modeling best practices, and contributing to project planning and technical peer reviews. American Modern is headquartered in Amelia, Ohio, and has associates across the United States. The role follows a hybrid work environment. Applicants who are not local but intend to relocate for the hybrid schedule are asked to submit a cover letter. Applicants requiring employer visa sponsorship will not be considered.

Requirements

Strong background in statistical programming using R, Python, SAS, or related software.
General programming and data knowledge, including SQL.
Familiarity with statistical and machine learning techniques such as linear and logistic regression, GLMs, CART, Random Forests, GBMs, Principal Component Analysis, clustering, and shrinkage techniques including lasso regression.
Experience with data wrangling, evaluating data quality, and transforming and cleaning data for analysis.
Experience leading, coaching, and developing a team completing modeling projects and statistical analyses.
Ability to communicate results effectively to business partners and help drive business decisions.
At least 6 years of data science or predictive analytics experience in (re)insurance, or 8 or more years of predictive modeling experience in another industry.
Master’s degree in Business Analytics, Statistics, Computer Science, or one of the specified double-major combinations involving Statistics/Math with Economics, Computer Science, or Operations Research.

Responsibilities

Prepare and complete predictive analytics analyses and modeling for very complex projects.
Participate in developing predictive analytics and modeling presentations, and present results or topics to internal and external customers and management as requested.
Address loosely defined problems using creative approaches and contribute to projects that produce actionable business insights.
Complete required data preparation and data input with guidance; identify data anomalies and seek guidance on necessary adjustments.
Identify data and operational issues that require specialized analytics attention, data scrubbing, or modeling techniques.
Document and communicate assumptions, results, and alternatives to team members and internal customers.
Communicate with regulators when called upon to support rate filings or explain modeling practices.
Create and maintain modeling best practices and develop new techniques in coordination with internal and external business partners.
Explain advanced analytical and modeling procedures in accessible language to audiences without predictive analytics training.
Understand customer requests and underlying issues, and explain possible solutions in language customers can understand.
Schedule and prioritize workload demands, maintain strong organization, and complete technical peer reviews as needed.
Provide hands-on leadership across model development, evaluation, and production deployment to ensure scalable, reliable, and governed AI solutions.
Lead, coach, and develop a team completing modeling projects and statistical analyses.
Help drive business decisions by effectively communicating results to business partners.
Participate in creating and discussing best practices and propose new techniques.
Assist in managing projects and directing the work of more junior team members.

Benefits

Two health insurance plan options: PPO or High Deductible.
Supplemental life and AD&D plans available for employees and dependents.
Voluntary accident, critical illness, and hospital indemnity plans.
Prescription drug coverage included in the health insurance plan.
Short- and long-term disability coverage.
Vision and dental insurance plans.
401(k) plan with up to a 5% employer match.
Company-funded retirement savings plan.
Paid time off beginning with 24 days per year, with additional days for milestone service anniversaries.
Eligibility to receive a yearly Munich Re employee bonus.
Health and wellness programs provided at no cost.
Hybrid work environment with choice in where and how work is done.
Corporately subsidized on-site cafeteria and a We Proudly Serve coffee shop.
Complimentary on-site workout facility and campus walking trails.
On-site wellness center with a nurse practitioner.
Financial assistance for adoptions and infertility treatment.
Paid time off for eligible family care needs.
Tuition assistance and educational achievement bonuses.
Free parking.
Corporate matching gifts program.
Paid time off to volunteer in the community.