Enterprise AI Data Scientist — Lead, Deploy & Scale (Hybrid)

Munich Reinsurance America, Inc

Chattanooga (TN)

Hybrid

USD 140,000 - 200,000

Full time

6 days ago
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Benefits offered by this job

Health insurance
401k with company match
Paid time off

Job summary

American Modern Insurance Group, Inc., a Munich Re company, seeks a Principal AI Data Scientist to build, deploy, and scale enterprise AI solutions. The role drives data-driven decisions across functional areas, contributing to customer satisfaction, policy growth, retention, and profitability.

The candidate will lead modeling projects, communicate results to business partners, and ensure scalable, governed AI solutions throughout the lifecycle, in a hybrid work environment across locations in

Qualifications

  • Master's degree in Business Analytics, Statistics, Computer Science, or Statistics/Math and Economics double major, or Statistics/Math and Computer Science double major or Statistics/Math and Operation Research double major.
  • 6+ years of data science/predictive analytics experience in (re)insurance or 8+ years predictive modeling experience in another industry.

Responsibilities

  • Prepare and complete predictive analytics analyses and modeling on complex projects.
  • Present results to customers and management upon request.
  • Lead data preparation and identify data quality issues.
  • Communicate assumptions, results, and alternatives clearly to stakeholders.
  • Provide hands-on leadership across the AI lifecycle from model development to deployment.

Skills

R/Python/SAS
SQL
Statistical modeling
Data wrangling
Communicate results
Leadership

Education

Master's degree in Analytics/Statistics/CS

Job description

American Modern Insurance Group, Inc., a Munich Re company, seeks a Principal AI Data Scientist to build, deploy, and scale enterprise AI solutions. The role drives data-driven decisions across functional areas, contributing to customer satisfaction, policy growth, retention, and profitability.

The candidate will lead modeling projects, communicate results to business partners, and ensure scalable, governed AI solutions throughout the lifecycle, in a hybrid work environment across locations in

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