Senior Data Scientist — AI/ML & GenAI (Hybrid)

Munich Reinsurance America, Inc; Charleston (SC); Presencial; USD 100.000 - 140.000; Tempo integral

Benefícios oferecidos por esta vaga

Two health insurance options (PPO or H

Vision and dental insurance

Retirement and life plans

Resumo da vaga

American Modern Insurance Group, Inc., a Munich Re company, is expanding its centralized Data Science team to drive AI/ML and GenAI initiatives across the business. You will collaborate with senior data scientists to develop, validate, and deploy predictive models that impact underwriting, pricing, and customer outcomes.

You will test models for accuracy and compliance, integrate them into CI/CD pipelines, and monitor performance post‑deployment.

Qualificações

• 2+ years of data science/predictive analytics experience in (re)insurance or 4+ years predictive modeling experience in another industry.
• Experience building and deploying statistical and ML models to address business challenges.
• Familiarity with data wrangling, quality evaluation, transformation, and cleaning for analysis.

Responsabilidades

• Build and deploy AI/ML models with general guidance.
• Act as liaison between ML Engineers and Data Science team for deployments and testing.
• Present modeling results to stakeholders and management.
• Identify actionable insights to improve customer satisfaction, policy growth, retention, and profitability.
• Prepare data and identify anomalies under guidance; document assumptions and results.
• Maintain modeling best practices and introduce new techniques in coordination with partners.

Conhecimentos

Data science

Mentor juniors

Communication

Predictive analytics

Formação

Master's degree in Analytics/CS/Statistics

Ferramentas

MLflow

Git

Azure DevOps

Descrição da vaga

American Modern Insurance Group, Inc., a Munich Re company, is expanding its centralized Data Science team to drive AI/ML and GenAI initiatives across the business. You will collaborate with senior data scientists to develop, validate, and deploy predictive models that impact underwriting, pricing, and customer outcomes.

You will test models for accuracy and compliance, integrate them into CI/CD pipelines, and monitor performance post‑deployment.