Hybrid Data Scientist — AI/GenAI for Insurance Growth

Munich Reinsurance America, Inc; Atlanta (GA); Hybrid; USD 110,000 - 170,000; Full time

Benefits offered by this job

Health insurance

401k with company match

Paid time off & holidays

Hybrid work environment

On-site cafeteria

Job summary

American Modern Insurance Group, Inc., a Munich Re company, is seeking a Data Scientist to lead AI/ML initiatives across our US operations. You will build and deploy models, collaborate with ML Engineers, and present results to stakeholders while advancing modeling best practices.

The role focuses on actionable insights to improve customer satisfaction, policy growth, retention, and profitability within a hybrid work environment.

Qualifications

• Data Scientist: 2 or more years of data science/predictive analytics experience in (re)insurance or 4 or more years predictive modeling experience in another industry.
• Sr. Data Scientist: 4 or more years of data science/predictive analytics experience in (re)insurance or 6 or more years predictive modeling experience in another industry.
• Develop and project manage modeling projects and statistical analyses.
• Effectively communicate results to business partners and help drive business decisions.
• Participate in creation and discussion of best practices and propose new techniques.
• Mentor junior team members.

Responsibilities

• Build and deploy AI/ML models with general guidance.
• Act as a liaison between the ML Engineers and Data Science team, managing AI/ML model deployments and conducting testing.
• Participate in the development of modeling presentations and present results/topics to stakeholders (internal & external) and management as requested.
• Concentrate on loosely defined problems which require application of creative approaches. Contribute to projects that yield actionable insights the business can use to increase customer satisfaction, policy growth, retention, and profitability.
• Complete required data preparation, including data input with guidance. Identify data anomalies and seek guidance on necessary adjustments.
• Identify data and operational issues requiring specialized analytics attention, data scrubbing, and modeling techniques.
• Document and communicate assumptions, results, and alternatives to team members and internal stakeholders with guidance.
• Create and maintain modeling best practices and new techniques in coordination with internal and external business partners.
• Explain advanced analytic and modeling procedures in the language that audiences with no predictive analytics training can easily find connections to. Understand stakeholders' requests and hidden issues and explain possible solutions in their language.
• Schedule and prioritize workload demands. Maintain very good organization skills. Complete technical peer reviews as needed.
• Maintain strong interpersonal skills - listen deeply, ask correct questions, take notes, complete professional oral and written business communications (including email communications), presentations, and build business relationships in order to better understand insurance company processes and functions. Established relationships with multiple areas of interaction.

Skills

Statistical programming (R, Python, or

Education

Master's degree in analytics/CS/math/econ

Tools

MLflow

Git

Azure DevOps

Job description

American Modern Insurance Group, Inc., a Munich Re company, is seeking a Data Scientist to lead AI/ML initiatives across our US operations. You will build and deploy models, collaborate with ML Engineers, and present results to stakeholders while advancing modeling best practices.

The role focuses on actionable insights to improve customer satisfaction, policy growth, retention, and profitability within a hybrid work environment.