As a team member in the Finance 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, Internal Audit, and so much more. Let Nationwide help create your career journey! At Nationwide®, “on your side” goes beyond just words. Our customers are at the center of everything we do and we’re looking for associates who are passionate about delivering extraordinary care.

Job Description Summary

Job Description Summary
Do you have the desire to play a critical role in driving data-based business outcomes? At Nationwide, our Analytic professionals are responsible for modeling complex problems, discovering insights and identifying business opportunities using scientific research methods, statistics, machine learning and data visualization techniques. They participate in all phases of the analytic lifecycle, from research design, data collection and data processing to model building, deployment and presentation of results.

Our industry-leading workforce uses an agile work environment and a collaborative culture to deliver outstanding solutions and results. If that sounds like something you aspire to, we want to know more about you!

Job Description

Nationwide is seeking candidates for Analytic Engineer Intern positions to join the Enterprise Analytics Office (EAO) from May to August 2026 in Columbus, Ohio.

The Analytic Engineer team works with Data Scientists to transform AI/ML models into integrated solutions contributing to company success. As an Analytic Engineer intern, you will design, develop and deploy automated solutions to deliver consumable data products and actionable insights to business partners.

Interested candidates must understand application design, programming principles, and cloud technologies with the ability to code, test, debug, optimize, document, and maintain complex application programs while being competent to work on most phases of development life-cycle with provided instruction and guidance in phases.

Candidates should have a graduate degree in any of the following areas: Computer Science, Computer Information Systems, Computer Engineering, Software Engineering, Web Development, Information Technology, or related fields.

Required Experience: Candidates should demonstrate hands on experience with the following expectations:

Programming with multiple programming/scripting languages (Python, R, Java, Shell)Writing and debugging SQL queriesExperience with ELT/ETL development to support data science initiativesKnowledge of common Linux/Unix commands and functionsAccomplished self-learner, demonstrating an awareness of technology trends and ability to learn and teach.Analyzes and resolves moderately complex issues related to application support and loggingImplement solutions with complex business requirements and systems integrationsCollaborate with cross-functional teams to understand data requirements and deliver high-quality datasetsPrepares detailed specifications, requirements, scope documents, and logic flowcharts for the development and implementation of the most complex application programs and modificationsApplication testing to ensure that the provided solution is executable, testable, complete and not ambiguous while meeting all end-user requirementsFamiliarity with statistical and machine learning conceptsUnderstanding of data governance principles and best practices

Additional Experience:

Version Control (GitHub)Infrastructure solutions (Docker, AWS, Azure, Kubernetes, Artifactory)AWS Sagemaker, S3, and CloudwatchDataOps or MLOps methodologies and toolsTest Automation Technologies (PyTest, Selenium, jUnit, etc.)API Technology (Apigee, OAS "Swagger", REST/JSON/SOAP, Splunk, J2EE, Javascript)Generative AI design and implementation

Nationwide does not participate in the Stem OPT Extension program. At its sole discretion, Nationwide determines whether to offer sponsorship for qualifying positions based on business need and budget. However, it is not usually available for entry level roles.