Senior FCAS Data Scientist - Pricing & Analytics Lead

Munich RE

Arlington (TX)

Hybrid

USD 140,000 - 220,000

Full time

14 days+
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Benefits offered by this job

Health insurance
401k with match
Paid time off
On-site dining facilities

Job summary

American Modern Insurance Group, Inc., a Munich Re company, seeks a Principal Data Scientist to lead FCAS pricing model strategy within the Predictive Analytics team. You will drive end‑to‑end model development, validation, and regulatory filings with senior leadership and cross‑functional partners.

You will mentor junior data scientists, communicate complex results clearly, and contribute to broader predictive analytics initiatives aligning pricing with profitability and growth objectives.

Qualifications

  • FCAS required; pricing analytics leadership.
  • Strong programming in R and Python with model development exposure.
  • Deep understanding of GLMs and GBMs.
  • Familiarity with AI/ML concepts and NLP is a plus.

Responsibilities

  • Lead pricing model strategy for a subset of products.
  • Develop, deploy, monitor, and maintain predictive models.
  • Collaborate with stakeholders and manage filing schedules.
  • Mentor junior data scientists and analysts.
  • Communicate results to business partners and regulators as needed.

Skills

FCAS
R
Python
GLMs
GBMs
AI/ML concepts
Databricks
Data structures
Software design patterns
Agile/Scrum/Kanban
Model testing
Project management

Education

Master’s degree in Business Analytics/Statistics/CS

Tools

Databricks

Job description

American Modern Insurance Group, Inc., a Munich Re company, seeks a Principal Data Scientist to lead FCAS pricing model strategy within the Predictive Analytics team. You will drive end‑to‑end model development, validation, and regulatory filings with senior leadership and cross‑functional partners.

You will mentor junior data scientists, communicate complex results clearly, and contribute to broader predictive analytics initiatives aligning pricing with profitability and growth objectives.

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