Data and Analytics Intern

Munich Re•Batavia Township, OH

3d•Hybrid

About The Position

American Modern is offering Data, Analytics and AI Internship Opportunities for the summer of 2027. This program is designed for students interested in gaining meaningful experience in data, analytics, and artificial intelligence. Interns will contribute to real projects, collaborate with professionals, connect with senior leaders, and develop skills for their post-graduation careers. American Modern is a specialty insurance provider focused on manufactured homes, specialty dwellings, boats, personal watercraft, and classic cars, offering innovative solutions to protect customer assets. The company is headquartered in Amelia, Ohio, near Cincinnati, and provides a flexible hybrid work environment where interns typically spend 40-50% of their time in the office for collaboration and networking.

Requirements

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.
Available to work full-time, 40 hours per week, for the duration of the summer internship program.
Able to work in a hybrid environment, including approximately 40 to 50% of the time in our Amelia, Ohio office.
Reliable transportation to commute to the office as required.
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.
An eagerness to learn, take initiative, ask thoughtful questions, and contribute to meaningful projects.
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.

Nice To Haves

Knowledge of Power BI, SQL, Python, Databricks, or similar technologies is helpful but not required for this opportunity.
Experience with tools such as Power BI, SQL, Python, Excel, Databricks, statistical modeling, or machine learning may be helpful depending on the team.

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 Analysts, 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.

Benefits

Meaningful Work from Day One - Contribute to real projects that support business objectives and provide valuable professional experience.
Build Your Professional Network - Connect with fellow interns, experienced professionals, senior leaders, and our CEO throughout the summer.
Develop Skills That Matter - Build practical experience while strengthening your analytical, communication, problem-solving, and leadership skills.
Flexible Hybrid Work Experience - Experience the benefits of both in-person collaboration and virtual work.
Give Back to the Community - Participate in volunteer opportunities and community outreach initiatives.
Executive networking opportunities
Intern project presentations to senior leaders
Community service events
Dedicated support from managers and mentors
Exposure to a global reinsurance organization through Munich Re