Data Science Intern - Summer

Department

Analytics

At The Mutual Group, we’re building a modern analytics organization that plays a critical role in shaping business strategy and driving profitable underwriting growth. As a Data Science Intern, you’ll gain hands‑on experience applying analytics to real property & casualty insurance business problems. Working alongside our actuarial and data teams, the intern will support model monitoring, exploratory analysis, and documentation while building a foundation in predictive modeling, insurance fundamentals, and modern analytics workflows.

This is an applied, mentorship‑driven experience designed to develop both technical and professional skills, as well as introduce students to data science career paths in insurance.

Employees who live within 30 miles of the TMG home office are expected to follow a hybrid or in‑office schedule. The initial training period may require additional in‑office days.

• 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.

• 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.

• Gain meaningful, real‑world data science experience.
• Work alongside experienced data scientists, data engineers, and credentialed actuaries who are invested in your development.
• Contribute to projects that have a direct impact on business decisions.
• Build technical, analytical, and professional skills that will prepare you for a successful data science career.
• Experience a collaborative culture that values learning, collaboration, innovation, and professional growth.

• Competitive Pay:
  Interns earn hourly wages while gaining hands‑on experience. The hourly pay range for this internship is $23-$25, commensurate with experience.
• Mentorship Programs:
  Pairing interns with experienced professionals.
• Networking Events:
  Intern…