Data Science Intern: Real-World Analytics for Insurance

Great West, An Old Republic Company; South Sioux City (NE); On-site; USD 30,000 - 39,000; Full time

Benefits offered by this job

Competitive internship compensation

Mentoring by data scientists

Hands-on experience with real data

Networking with leaders

Job summary

Great West Casualty Company in South Sioux City, NE is offering a Data Science Intern position. You will work on real-world data problems, learn applied analytics, and contribute to projects across underwriting, claims, and risk control.

Ideal candidates are pursuing a data-focused degree, with strong analytical skills and experience with SQL and Python/R. The role emphasizes collaboration, learning, and professional mentoring in a supportive environment.

Qualifications

• Pursuing a Bachelor’s or Master’s degree in a quantitative field.
• Strong analytical and problem-solving skills with passion for data.
• Experience with SQL and Python/R basics.

Responsibilities

• Assist with collecting, cleaning, transforming, and analyzing datasets from multiple sources.
• Perform exploratory data analysis to identify trends, risks, and opportunities.
• Develop reports, dashboards, and visualizations to communicate insights.
• Support statistical analysis, predictive modeling, and ML initiatives.
• Collaborate with stakeholders to understand business challenges and deliver solutions.
• Validate data quality and contribute to governance processes.
• Present findings and recommendations to team members and stakeholders.
• Document analytical processes and contribute to repeatable solutions.
• Participate in special projects and other duties as assigned.

Skills

Data analysis

SQL

Python

Git

Education

Bachelor’s or Master’s degree in data science or related quantitative field

Tools

Power BI

Tableau

Job description

Great West Casualty Company in South Sioux City, NE is offering a Data Science Intern position. You will work on real-world data problems, learn applied analytics, and contribute to projects across underwriting, claims, and risk control.

Ideal candidates are pursuing a data-focused degree, with strong analytical skills and experience with SQL and Python/R. The role emphasizes collaboration, learning, and professional mentoring in a supportive environment.