Principal Data Scientist - AI
Listed on 2026-02-19
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IT/Tech
Data Scientist, AI Engineer, Machine Learning/ ML Engineer, Data Analyst
AI Meets Insight—Data Science at Its Best!
Title: Principal Data Scientist - AI
Location: Remote
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 and the recreational market. We write admitted products in all 50 states and have a premium volume of $2.2 billion. Headquartered in Amelia, Ohio, and with associates nationwide, we are part of Munich Re’s Global Specialty Insurance division.
Our employees receive boundless opportunity to grow their careers and make a difference every day in a flexible environment that helps them succeed both at work and at home.
- Lead development and execution of AI/ML strategy.
- Develop, deploy, monitor, and maintain predictive models using Python, focusing on AI and machine learning techniques to drive business outcomes.
- Utilize expertise in Large Language Models (LLMs) to develop innovative solutions for natural language processing and text analysis tasks.
- Collaborate with cross-functional teams to identify business problems and develop data-driven solutions.
- Work closely with data engineering teams to design and implement data pipelines and architectures.
- Prepare and complete predictive analytics analysis and modeling with general guidance on very complex projects.
- Present results and topics to customers (internal & external) and management.
- Concentrate on loosely defined problems that require creative approaches and deliver actionable insights to improve customer satisfaction, policy growth, retention, and profitability.
- Complete required data preparation, including input and guidance. Identify data anomalies and seek guidance on necessary adjustments.
- Identify data and operational issues requiring specialized analytics attention, data scrubbing, and modeling techniques.
- Document and communicate assumptions, results, and alternatives to team members and internal customers with guidance, including communication with regulators when required.
- Create and maintain modeling best practices and new techniques in coordination with internal and external partners.
- Explain advanced analytic and modeling procedures in a language accessible to audiences with no predictive analytics training.
- Schedule and prioritize workload demands, maintain strong organizational skills, and complete technical peer reviews as needed.
- Maintain strong interpersonal skills, build business relationships, and communicate effectively in oral and written business contexts.
- Expert‑level proficiency in Python, with experience in Num Py, pandas, and scikit‑learn.
- Experience with other programming languages, including R.
- Deep understanding of AI and machine learning concepts, including supervised/unsupervised learning, deep learning, and NLP.
- Experience with Databricks or similar big‑data platforms is highly desirable.
- Familiarity with cloud‑based data platforms such as AWS or Azure is a plus.
- Strong understanding of data structures, algorithms, and software design patterns.
- Experience working in an agile team environment using Scrum or Kanban.
- Strong commitment to testing, validation, and continuous improvement of models and workflows.
- Experience with MLflow, including model management, versioning, and deployment.
- Leads a team that completes modeling projects and statistical analysis.
- Effectively communicates results to business partners and drives business decisions.
- Participates in creation and discussion of best practices and proposes new techniques.
- Assists in managing projects and directing work of junior team members.
- Six (6) or more years of data science/predictive analytics experience in insurance or eight (8+) or more years of predictive modeling experience in another industry.
- Master’s degree in Business Analytics, Statistics, Computer Science, or a double major in Statistics/Math and Economics, or Statistics/Math and Computer Science, or Statistics/Math and Operation Research.
- Two options for your health…
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