Data Scientist - AI
Listed on 2025-11-20
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IT/Tech
AI Engineer, Data Scientist, Machine Learning/ ML Engineer, Data Analyst
Title: Data Scientist - AI
Location: current schedule is hybrid (40-50% in the Amelia, Ohio office)
Recruiter: Sonya Fischesser
Employment Type: Full-time
Seniority Level: Mid-Senior level
Job Function: Information Technology
Industry: Insurance
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, and with associates located across the United States, 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 - all in a flexible environment that helps them succeed both at work and at home.
Join our innovative Predictive Analytics team as a Principal Data Scientist and play a key leadership role in shaping and executing our Artificial Intelligence and Machine Learning (AI/ML) strategy. As a senior member of the AI/ML Predictive Analytics team, you will be responsible for driving the development and deployment of cutting‑edge AI/ML models that drive business growth, inform strategic initiatives, and revolutionize business decision‑making.
You will collaborate with senior stakeholders to identify complex business problems, develop tailored solutions, and implement advanced statistical and machine learning techniques to drive business outcomes. With a focus on strategic leadership, innovation, and collaboration, you will have the opportunity to make a significant impact on our organization, develop and implement new analytics methodologies and best practices, and mentor and guide junior team members.
You will be expected to stay at the forefront of industry trends and advancements in AI/ML, and to leverage this expertise to drive business innovation and growth.
Use data and statistical analysis to drive business decisions and target improved results across various functional areas.
Roles & Responsibilities- Lead development and execution of AI/ML strategy.
- Develop, deploy, monitor, and maintain predictive models using Python, with a focus 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.
- Participate in the development of predictive analytics and modeling presentations and present results/topics to customers (internal & external) and management as requested.
- Concentrate on loosely defined problems which require application of creative approaches. Contribute to projects that yield actionable insights the business can use to increase customer satisfaction, policy growth, retention, and profitability.
- Complete required data preparation, including data input with 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. Communicate with regulators when called upon to support rate filings or modeling practices in general.
- Create and maintain modeling best practices and new techniques in coordination with internal and external business partners.
- Explain advanced analytic and modeling procedures in the language that audiences with no predictive analytics training can easily find connections to. Understand customers' requests and hidden…
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