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Munich Re
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October 11, 2026
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Amelia, OH
Internship
Hybrid
Intern
American Modern is hiring interns for multiple data, analytics, and AI teams. Interns will contribute to projects involving business analytics, responsible AI governance, model monitoring, customer service quality, underwriting, and portfolio risk.
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Responsibilities

  • Collect, process, and analyze datasets to identify trends, patterns, and business insights
  • Design interactive Power BI dashboards and reports that turn raw data into actionable information
  • Meet with cross-functional partners to understand business needs and translate them into technical solutions
  • Support data validation and testing to improve the reliability and accuracy of analytics outputs
  • Evaluate opportunities to incorporate AI and automation into quality processes
  • Analyze quality data, risk and improvement opportunities
  • Participate in calibration sessions, and partner with Quality Analys, and other business partners
  • Support quality initiatives by gathering information, tracking progress, and documenting recommendations
  • Develop and present recommendations at the end of the internship
  • Review and organize information about AI tools, predictive models, generative AI, and analytics use cases
  • Help maintain complete and accurate AI inventory information
  • Research responsible AI, insurance applications, regulations, and emerging topics
  • Summarize findings for business and technical audiences
  • Explore considerations such as fairness, transparency, accuracy, privacy, human oversight, and accountability
  • Support third-party AI reviews and analyze AI governance data
  • Help improve templates, guidance, tracking tools, and processes
  • Support model-monitoring capabilities for predictive models in production
  • Build dashboards that help data scientists and business stakeholders monitor model health
  • Analyze monitoring results and identify areas for further investigation
  • Depending on project needs, help develop or use ground-truth datasets for generative AI testing
  • Compare AI-generated responses with expected results
  • Analyze error patterns and summarize findings
  • Automate quarterly modeling tasks, including KPI matrices, exceedance probability curves, event loss tables, internal risk reporting, and budget reporting
  • Create exposure import tables for the Management and Analytics of Exposures platform planned for 2027
  • Run quarterly reporting data and supplemental wildfire scores for pricing
  • Research and refine risk accumulation methods by peril
  • Support monthly geocoding, quarterly DEFCON analysis, and business presentations
  • Assist with migrating documentation and code to Databricks

Qualification

Required

  • Currently pursuing a degree in Data Science, Statistics, Computer Science, Business Analytics, or a related field
  • Rising Junior or Senior at the time of the internship
  • Strong communication, organizational, analytical, and problem-solving skills
  • Ability to work independently and collaboratively in a team environment
  • Proficiency with Microsoft Office applications, including Excel, Word, PowerPoint, and Outlook
  • Applicants must be authorized to work in the United States on a permanent basis without requiring employer sponsorship now or in the future. At this time, we are unable to consider candidates who require current or future sponsorship, including Optional Practical Training or Curricular Practical Training

Preferred

  • Knowledge of Power BI, SQL, Python, Databricks, or similar technologies is helpful but not required for this opportunity

Benefits

  • Flexible hybrid work environment, with interns typically spending approximately 40 to 50% of their time in the office
  • Connect with fellow interns, experienced professionals, senior leaders, and the CEO throughout the summer
  • Executive networking opportunities
  • Intern project presentations to senior leaders
  • Community service events
  • Volunteer opportunities and community outreach initiatives
  • Dedicated support from managers and mentors
  • Meaningful work from day one on real projects
  • Professional development and practical experience strengthening analytical, communication, problem-solving, and leadership skills
  • Exposure to a global reinsurance organization through Munich Re
Munich Re is an insurance company that provides reinsurance, insurance, and risk solutions.
Glassdoor
4.1
Founded in 1980
Munich, Bayern, DEU
10001+ employees
https://www.munichre.com