Summer 2026 Graduate Data Science Intern

Location: Remote Work Type: Full Time Temporary Job No: 504167 Categories: Internships, Analytics/Data Science, Early Career Programs Application Closes: Closes Oct 3, 2025 2025-09-09 Are you the kind of person who constantly asks “why” and won’t settle for answers without data? So are we — and that’s exactly why we need you. As a Data Science Intern, you’ll dive into diverse datasets to help us tackle real business challenges. You’ll apply advanced statistical techniques, machine learning models, and your programming know-how to uncover insights and guide smart decisions. You’ll join a team of inquisitive thinkers who thrive on understanding the “how” and “why” — and turning that curiosity into impactful solutions. WHAT WE CAN OFFER YOU: • Hourly Wage:$30.00-39.00 • 401(k) plan with a 2% company contribution and 6% company match. • Work-life balance with vacation, personal time and paid holidays. See our benefits and perks page for details. 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. • Engineer AI systems that perform complex tasks by leveraging foundation and other models (including generative AI), systems of rules, prompt engineering, tools and data store access. • 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 at least one advanced data skillset, such as AI engineering, data visualization, or 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 If you have questions about your application or the hiring process, email our Talent Acquisition area at [email protected]. Please allow at least one week from time of applying if you are checking on the status. Stay Safe from Job Scams Mutual of Omaha only accepts applications from mutualofomaha.com/careers. Legitimate communications will come from '@mutualofomaha.com.' We never request sensitive information or extend job offers without conducting interviews. For more details, check our Hiring FAQs. Stay alert for scams and apply securely! Fair Chance Notices Need help? Email Us Great place to work Together we achieve greatness. Not only is this a core value, but it’s also representative of the kind of place we are — built by the strength and integrity of our employees. It’s why we’re named a “Great Place to Work”. An inclusive culture Surround yourself with an authentic and inclusive culture. Your strengths and differences will be valued and celebrated by a diverse community of co‑workers. Apply tot his job