American Modern Insurance Group

About the Company

American Modern provides insurance solutions for customers who need coverage not readily found in the general market. American Modern is widely recognized as a leader in this "specialty market." Through strong relationships with our agent partners, we protect classic cars, motorcycles, boats and yachts, and, in the residential sector, rental property (short-term and 12-month), vacant property, owner-occupied homes, vacation homes, and manufactured homes. American Modern employs nearly 1,200 and has been recognized several times as a "Top Workplace" by the Cincinnati Enquirer. The company's financial stability is validated by long-standing, high ratings from Ward Group and A. M. Best Company. Headquartered in suburban Cincinnati, Ohio, the company began its insurance operations in 1965. Munich Re acquired American Modern in 2008 to be a key element of the world reinsurance leader's North American insurance operations. Munich Re has approximately 43,000 employees in over 50 locations throughout the world, and operates in all lines of insurance. It is among the top 150 companies on the Forbes Global 500 list. Polices are written by one of the licensed insurers of American Modern Insurance Group, Inc., including American Modern Home Insurance Company, d/b/a in California as American Modern Insurance Company (Lic. No. 2222-8).

Listed Jobs

Company Name

American Modern Insurance Group

Job Title

Data Scientist - AI

Job Description

**Job Title** Data Scientist – AI **Role Summary** Lead the AI/ML strategy and development of predictive models to drive business outcomes. Own end‑to‑end model lifecycle: design, develop, deploy, monitor, and maintain AI/ML solutions, with a focus on large language models and advanced analytics. Mentor junior staff, collaborate with cross‑functional teams, and translate technical results for non‑technical stakeholders. **Expectations** - Deliver high‑impact AI/ML models that influence strategy, growth, and profitability. - Keep current with AI/ML industry trends and adopt best practices. - Present findings to senior leaders, customers, and regulators in clear, concise language. - Manage multiple, loosely defined projects with strong organization and prioritization. **Key Responsibilities** - Develop and execute the organization’s AI/ML strategy. - Build, deploy, monitor, and maintain production‑ready predictive models in Python. - Leverage large language models for NLP and text analytics initiatives. - Design and implement data pipelines and architectures in collaboration with data engineering. - Perform advanced data preparation, anomaly detection, and data cleaning. - Produce and deliver analytical presentations to internal/external audiences. - Document modeling best practices, assumptions, and alternatives. - Conduct peer reviews and provide guidance on complex projects. - Communicate results to regulators when required. - Mentor and support junior data scientists. **Required Skills** - Expert proficiency in Python (pandas, scikit‑learn, TensorFlow/PyTorch, etc.). - Deep knowledge of AI/ML algorithms and model deployment pipelines. - Experience with large language models and NLP techniques. - Strong data engineering collaboration skills (ETL, data lakes, pipelines). - Advanced data preprocessing, feature engineering, and anomaly detection. - Ability to translate complex analytics into business‑friendly language. - Excellent written and verbal communication, stakeholder management, and presentation skills. - Project prioritization, organization, and peer‑review capabilities. **Required Education & Certifications** - Bachelor’s or Master’s degree in Computer Science, Statistics, Data Science, or related field. - Professional certifications in machine learning, data science, or AI (e.g., Google Cloud ML Engineer, AWS Certified Machine Learning – Specialty, or equivalent) are preferred. ---

Cincinnati, United states

Hybrid

26-11-2025