Data Scientist (AI/GenAI) – Insurance Analytics & Modeling

Munich Reinsurance America, Inc; Chattanooga (TN); Híbrido; USD 120 000 - 170 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

401k plan with up to 5% employer match

Paid time off 24 days/year

Tuition assistance

On-site cafeteria and coffee shop

Health insurance options

Hybrid work environment

Resumo da oferta

American Modern Insurance Group, Inc., a Munich Re company, is hiring for a Data Scientist to lead AI/ML model development and deployment across multiple insurance domains. You will collaborate with senior data scientists to build GenAI models, validate them before deployment, and monitor performance post-launch.

You will work in a hybrid environment, advancing modeling techniques, presenting results to stakeholders, and driving business value through analytics.

Qualificações

• 2+ years data science/predictive analytics in (re)insurance or 4+ years predictive modeling in other industries.
• Strong ability to translate complex analytics into business insights.
• Experience presenting results to stakeholders and mentoring junior team members.

Responsabilidades

• Build and deploy AI/ML models with general guidance.
• Liaise between ML Engineers and Data Science team for deployments and testing.
• Present modeling results to stakeholders and management as requested.
• Develop modeling best practices and communicate assumptions and results to teammates.
• Prepare data and identify anomalies for analytics projects.
• Mentor junior team members and contribute to team knowledge.

Conhecimentos

R

Python

SAS

SQL

CI/CD

MLflow

Git

Azure DevOps

Formação académica

Master's degree in Business Analytics/Statistics/CS

Ferramentas

MLflow

Git

Azure DevOps

Descrição da oferta de emprego

American Modern Insurance Group, Inc., a Munich Re company, is hiring for a Data Scientist to lead AI/ML model development and deployment across multiple insurance domains. You will collaborate with senior data scientists to build GenAI models, validate them before deployment, and monitor performance post-launch.

You will work in a hybrid environment, advancing modeling techniques, presenting results to stakeholders, and driving business value through analytics.