AI & GenAI Data Scientist — Predictive Modeling & Deployment

American Modern Insurance Group

Bloomington (IN)

Hybrid

USD 120,000 - 180,000

Full time

6 days ago
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Benefits offered by this job

Health insurance
401k plan
Paid time off
Bonuses
Tuition assistance
On-site facilities

Job summary

American Modern Insurance Group, a Munich Re company, is expanding its centralized Data Science team to drive AI/ML initiatives across residential property and recreational lines. You will collaborate with senior data scientists to test, deploy, and monitor models, ensuring alignment with business goals and regulatory requirements.

The role emphasizes building scalable models, data quality, and presenting complex analytics in clear business terms while contributing to modeling best practices

Qualifications

  • Master’s degree in Business Analytics, Statistics, Computer Science, or related field.
  • 2+ years data science or predictive analytics in (re)insurance or 4+ years in another industry.

Responsibilities

  • Build and deploy AI/ML models with general guidance.
  • Liaise between ML engineers and data science teams for deployments.
  • Present results to stakeholders and management as requested.
  • Identify data anomalies and ensure data prep quality.
  • Document assumptions, results, and alternatives clearly.

Skills

Python
R
SQL
SAS
MLflow
Git
Azure DevOps
Statistical modeling
Data wrangling
Communication

Education

Master’s degree in Analytics/CS/Statistics

Tools

MLflow
Git
Azure DevOps
Python
R
SQL

Job description

American Modern Insurance Group, a Munich Re company, is expanding its centralized Data Science team to drive AI/ML initiatives across residential property and recreational lines. You will collaborate with senior data scientists to test, deploy, and monitor models, ensuring alignment with business goals and regulatory requirements.

The role emphasizes building scalable models, data quality, and presenting complex analytics in clear business terms while contributing to modeling best practices

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