Principal Data Scientist - AI

Overview

AI Meets Insight—Data Science at Its Best!

Title:

AI Data Scientist

Location:

hybrid (40-50% in Amelia, Ohio office); open to remote candidates
Recruiter:
Sonya Fischesser
Salary range: $150-170K base
Exempt position

American Modern Insurance Group, Inc., a Munich Re company, is a widely recognized specialty insurance leader that delivers products and services for residential property – such as manufactured homes and specialty dwellings – and the recreational market, including boats, personal watercraft, classic cars, and more. We provide specialty product solutions that cover what the competition often can’t. We write admitted products in all 50 states and have a premium volume of $2.2 billion.

Headquartered in Amelia, Ohio, with associates across the United States, we are part of Munich Re’s Global Specialty Insurance division. Our employees have opportunities to grow and make a difference in a flexible environment that supports work‑life balance.

Join our Predictive Analytics team as a Principal Data Scientist and contribute to shaping and executing our AI/ML strategy. As a senior member of the AI/ML Predictive Analytics team, you will drive the development and deployment of advanced AI/ML models to accelerate business growth, inform strategic initiatives, and enhance decision-making. You will collaborate with senior stakeholders to identify complex business problems, develop tailored solutions, and apply advanced statistical and machine learning techniques to drive business outcomes.

You will mentor junior team members and stay at the forefront of AI/ML trends to foster innovation and growth.

Purpose: Use data and statistical analysis to drive business decisions and target improved results across functional areas.

• Lead development and execution of AI/ML strategy.
• Develop, deploy, monitor, and maintain predictive models using Python, focusing on AI/ML techniques to drive business outcomes.
• Utilize expertise in Large Language Models (LLMs) for natural language processing and text analysis tasks.
• Collaborate with cross-functional teams to identify business problems and develop data-driven solutions.
• Work with data engineering to design and implement data pipelines and architectures.
• Prepare predictive analytics analyses and modeling with guidance on complex projects.
• Present results to internal/external customers and management as requested.
• Address loosely defined problems with creative approaches; contribute to projects yielding actionable insights to improve customer satisfaction, policy growth, retention, and profitability.
• Complete data preparation, identify anomalies, and coordinate necessary adjustments.
• Identify data and operational issues requiring specialized analytics attention, data scrubbing, and modeling techniques.
• Document assumptions, results, and alternatives; communicate with regulators when needed for rate filings or modeling practices.
• Create and maintain modeling best practices with internal/external partners.
• Explain advanced analytic and modeling concepts to audiences without predictive analytics training.
• Schedule and prioritize workload; maintain organization; perform technical peer reviews as needed.
• Maintain strong interpersonal skills and professional communications to build relationships and understand insurance processes.

• Expert-level proficiency in Python with libraries such as Num Py, pandas, scikit-learn; experience with R.
• Deep understanding of AI/ML concepts (supervised/unsupervised learning, deep learning, NLP).
• Experience with Databricks or similar big data platforms is highly desirable.
• Familiarity with cloud platforms (AWS or Azure) is a plus.
• Strong understanding of data structures, algorithms, and software design patterns.
• Experience in an agile environment (Scrum/Kanban).
• Strong commitment to testing, validation, and continuous improvement of models and workflows.
• Experience with MLflow (model management, versioning, deployment).

• Leads a team that completes modeling projects and statistical analyses.
• Effectively communicates results to business partners to drive decisions.
• Contri…