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Nationwide Insurance

Intern (Data Science - Modeling Specialization Intern)

Columbus, OH

As a team member in the Finance and Internal Audit department at Nationwide, the opportunities are endless! You can grow and learn in diverse areas across many disciplines such as Advanced Analytics, Investments, Actuarial, Accounting, Risk Management, Critical Business Advisor and so much more. Let Nationwide help create your career journey!

Job Description Summary

Job Description

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Nationwide Insurance is currently seeking candidates for multiple Data Science Intern positions to join the Enterprise Analytics Office, lasting from approximately mid-May through mid-August of 2022 (based on schedules).

We are dedicated to working with business partners to develop integrated, end-to-end solutions that contribute to the company’s bottom line. As a Data Science Intern, you’ll have the opportunity to work with real-world data, build and evaluate predictive models, and deliver your findings to both technical and non-technical audiences. You’ll work with enterprise-class analytic software tools and platforms including R, Python, Tableau, Teradata, and Amazon Web Services.

Graduate or undergraduate candidates will be considered, from any major. Some statistical and/or technical background is preferred. Special consideration will be given to candidates with graduation dates in 2022.

Job Summary

The Data Science Intern will take an active role on one or more projects within Nationwide’s Enterprise Analytics Office and participate in many or all phases of the analytic lifecycle, including:

  • Working with team members and business partners to identify, define and articulate the business problem to be solved.
  • Acquiring, preparing, and cleaning data sets from one or more data sources, some containing millions of rows and hundreds of dimensions.
  • Analyzing and visualizing trends and patterns in structured and/or unstructured data and effectively communicating relevant insights in support of business problem solving.

Building, evaluating, and documenting predictive

Client-provided location(s): Columbus Metropolitan Area, OH, USA
Job ID: 65bf5186cefc858552b4939a84c933db4b800158b72c56b39403765825207758
Employment Type: Other