Summer 2026 Graduate Data Science Intern (Marketing Analytics) - Remote Job at Mutual of Omaha, United States

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  • Mutual of Omaha
  • United States

Job Description



Summer 2026 Graduate Data Science Intern (Marketing Analytics) - Remote



Location: Remote

Work Type: Full Time Temporary

Job No: 504168

Categories: Internships, Analytics/Data Science, Early Career Programs

Application Closes: Closes Oct 3, 2025

2025-09-09

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Youre curious about why things are the way they are, and you want data to back up your conclusions. So do we, and thats why we need you.

As a Data Science Intern, youll help use data in multiple formats to help us solve business problems. Youll use advanced statistical and machine learning methods, as well as programming skills and knowledge of technical infrastructure to help us sift through the data to find the best way forward. Youll be part of a team of curious minds who want to know the how and why of the world and come up with solutions that work.

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.
  • 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 YOULL BRING:

  • 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
  • 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.
  • Experience with Bayesian methods, causal inference, time series analysis, and machine learning algorithms.
  • 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:

  • Strong foundation in statistical modeling, econometrics, predictive analytics, preferably with coursework or research in Marketing Mix Models (MMM) and Customer Lifetime Value (CLTV).
  • Advanced research or industry experience in media attribution, marketing analytics, or customer segmentation strategies is preferred.


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 [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!

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Great place to work

Together we achieve greatness. Not only is this a core value, but its also representative of the kind of place we are built by the strength and integrity of our employees. Its why were named a Great Place to Work.

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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.

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Job Tags

Hourly pay, Full time, Temporary work, Traineeship, Summer work, Remote work,

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