Summer 2025 Graduate Data Science Intern - Remote

You’re curious about why things are the way they are, and you want data to back up your conclusions.  So do we, and that’s why we need you.

WHAT WE CAN OFFER YOU:

• Hourly Wage: $30.00-39.00
• Benefits and Perks, 401(k) plan with a 2% company contribution and 6% company match.

WHAT YOU'LL DO:

• You will collaborate with business partners to understand business objectives/goals, then develop a clear and well-defined analytic plan that supports obtaining those objectives.
• Perform data extraction and data manipulation.
• Develop trusted, actionable outcomes by applying appropriate analytical techniques and metrics.
• Perform predictive modeling and association modeling such as segmentation analysis, data modeling, risk modeling, behavioral analysis, cross-selling analysis, and customer churn analysis.
• You will communicate clear outcomes at varying levels of detail.

WHAT YOU’LL BRING:

• Pursuing a graduate degree in analytically driven fields such as artificial intelligence, mathematics, statistics, physics, economics, data science, computer engineering, computer science, operations research or actuarial science
• Proficient at SQL and/or NoSQL to gather data from source systems.
• Proficient in one of more computer programming languages, of which at least one must be Python.
• Statistical analysis and machine learning background.
• Thorough proficiency in data visualization and knowledge of structured and unstructured data platforms.
• You promote a culture of diversity and inclusion, value different ideas and opinions, and listen courageously, remaining curious in all that you do.
• Able to work remotely with access to a high-speed internet connection and located in the United States or Puerto Rico.

PREFERRED:

• Pursuing PhD in analytically driven fields such as artificial intelligence, mathematics, statistics, physics, economics, data science, computer engineering, computer science, operations research or actuarial science
• Experience with Hadoop and Hadoop components
• Experience with large language models (LLMs) and/or causal AI

We value diverse experience, skills, and passion for innovation. If your experience aligns with the listed requirements, please apply! 

If you have questions about your application or the hiring process, email our Talent Acquisition area at careers@mutualofomaha.com. Please allow at least one week from time of applying if you are checking on the status.