Feature Engineer Intern - Enterprise Analytics Office

As a team member in Finance at Nationwide, a Fortune 100 company with nearly $70 billion in annual sales, the opportunities are endless! 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 Nationwide Insurance is seeking candidates for Feature Engineer Intern positions to join the Enterprise Analytics Office (EAO) from May to August 2027 in Columbus, Ohio .

The Feature Engineer team works with Data Scientists to transform AI/ML models into integrated solutions contributing to company success. In this role, you will collaborate closely with data scientists to design, build, and maintain robust data pipelines that support machine learning models and advanced analytics.

Your role will be to transform raw data into reliable, well-documented datasets optimized for analysis and modeling. Candidates should be pursuing 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: • Knowledge of common Linux/Unix commands and functions • Accomplished 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 logging • Implement solutions with complex business requirements and systems integrations • Collaborate with cross-functional teams to understand data requirements and deliver high-quality datasets • Prepares detailed specifications, requirements, scope documents, and logic flowcharts for the development and implementation of the most complex application programs and modifications • Application testing to ensure that the provided solution is executable, testable, complete and not ambiguous while meeting all end-user requirements • Understanding of data governance principles and best practices • Experience with or interest in ETL/ELT development and data pipeline architecture • Proficiency in SQL and either Python or R • Familiarity with statistical and machine learning concepts • Understanding of data governance principles and best practices Additional Experience: • Hands-on experience with cloud data platforms such as AWS, Databricks, or Snowflake • Exposure to DataOps or MLOps methodologies and tools • Generative AI design and implementation • Version Control (GitHub) • Test Automation Technologies (PyTest, jUnit, etc.

) • API Technology (Apigee, OAS "Swagger", REST/JSON, Splunk, Javascript) 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. Nationwide pays on a geographic-specific salary structure and placement within the actual starting salary range for this position will be determined by a number of factors including the skills, education, training, credentials and experience of the candidate; the scope, complexity and location of the role as well as the cost of labor in the market; and other conditions of employment.