Data Science Intern - Summer 2027

Summary

The Mutual Group is building a modern analytics organization that supports business strategy and profitable underwriting growth. As a Data Science Intern, you will apply analytics to real property & casualty insurance business problems, supporting model monitoring, exploratory analysis, documentation, and learning foundational insurance and data science workflows.

Responsibilities

• Support exploratory data analysis for pricing, underwriting, claims, or operational analytics use cases
• Build or enhance repeatable reporting outputs such as model monitoring summaries, rating variable distributions, actual-versus-expected analysis, or lift-chart support
• Help document modeling datasets, feature logic, assumptions, limitations, and data lineage
• Contribute to code cleanup, reusable functions, testing scripts, and version-controlled project organization
• Learn foundational insurance concepts including exposure, premium, claims frequency, claims severity, loss ratio, rate adequacy, and underwriting risk selection
• Translate analytical findings into business-friendly summaries for actuarial, underwriting, claims, or leadership audiences
• Shadow team members to understand how model outputs are consumed in pricing, profitability analysis, underwriting workflows, and management reporting
• Prepare a capstone presentation connecting technical work to business value – such as improved pricing insight, greater efficiency, better monitoring, or clearer documentation

Skills

• Currently pursuing an undergraduate (junior/senior) or graduate degree in data science, statistics, mathematics, actuarial science, analytics, economics, or a related field
• Comfort with at least one programming language, preferably Python or R
• Basic SQL skills, or the ability and willingness to learn SQL quickly
• Coursework or project experience involving statistics, regression, machine learning, data visualization, or applied analytics
• Strong written and verbal communication skills and an interest in applying analytics to real business problems
• Interest in insurance, financial services, risk analytics, or business decision support
• Strong analytical thinking and quantitative skills
• Exposure to version control (e.g., Git), data visualization tools (e.g., Tableau), or model monitoring concepts
• Curiosity, reliability, and a collaborative, feedback-oriented mindset
• Comfort with at least one programming language, preferably Python or R

Qualifications

Must Haves

• Currently pursuing an undergraduate (junior/senior) or graduate degree in data science, statistics, mathematics, actuarial science, analytics, economics, or a related field
• Comfort with at least one programming language, preferably Python or R
• Basic SQL skills, or the ability and willingness to learn SQL quickly
• Coursework or project experience involving statistics, regression, machine learning, data visualization, or applied analytics
• Strong written and verbal communication skills and an interest in applying analytics to real business problems
• Interest in insurance, financial services, risk analytics, or business decision support
• Strong analytical thinking and quantitative skills
• Exposure to version control (e.g., Git), data visualization tools (e.g., Tableau), or model monitoring concepts
• Curiosity, reliability, and a collaborative, feedback-oriented mindset

Nice to Haves

• Comfort with at least one programming language, preferably Python or R

Benefits

• Mentorship Programs: Pairing interns with experienced professionals.
• Networking Events: Intern mixers, speaker series, or meet-and-greets with executives.
• Volunteer Opportunities: Organized events for community service.
• Free Lunch: On-site cafeteria available Tuesday-Thursday.
• A 39-hour work week designed to support productivity and well-being.
• Flexible work schedules and hybrid/remote options for eligible positions