Senior FCAS Data Scientist - Pricing & Predictive Analytics

Munich Reinsurance America, Inc; Charleston (SC); Hybrid; USD 150,000 - 210,000; Full time

Benefits offered by this job

Health insurance options

401k with company match

On-site wellness facilities

Job summary

American Modern Insurance Group, Inc., a Munich Re company, is seeking a Principal Data Scientist to lead end-to-end pricing model development for personal lines. The role emphasizes ownership of modeling workflows, regulatory filings, and mentoring junior team members, with the opportunity to contribute to broader predictive analytics initiatives.

The successful candidate will drive end-to-end pricing strategy, collaborate with stakeholders, and ensure robust model performance in a hybrid

Qualifications

• FCAS is required.
• Proficient in Python and R.
• Strong understanding of GLMs and GBMs.
• Familiarity with AI/ML concepts including supervised/unsupervised learning, deep learning, and NLP.
• Databricks or similar big data platforms are highly desirable.
• Strong commitment to testing, validation, and continuous improvement of models.

Responsibilities

• Lead pricing model strategy for a subset of products.
• Develop, deploy, monitor, and maintain predictive models.
• Collaborate effectively with stakeholders.
• Manage filing schedules for aligned products.
• Prepare predictive analytics analyses and modeling with guidance on complex projects.
• Present results to internal/external customers and management as requested.
• Mentor junior data scientists and analysts.

Skills

FCAS

Python

R

GLMs/GBMs

AI/ML concepts

Agile methodologies

Project management

Education

Master's degree in Business Analytics/Statistics/CS or related double major

Tools

Databricks

Job description

American Modern Insurance Group, Inc., a Munich Re company, is seeking a Principal Data Scientist to lead end-to-end pricing model development for personal lines. The role emphasizes ownership of modeling workflows, regulatory filings, and mentoring junior team members, with the opportunity to contribute to broader predictive analytics initiatives.

The successful candidate will drive end-to-end pricing strategy, collaborate with stakeholders, and ensure robust model performance in a hybrid