Analytics Intern

We are interested in every qualified candidate who is eligible to work in the United States. However, we are not able to sponsor visas or take over sponsorship at this time.

About the role: As an Analytics Intern, you’ll immerse yourself in the Analytics department and get a unique experience by working on real projects that impact our day-to-day business and production.

We are problem-solvers, self-directors and action-oriented thinkers so you’ll be expected to hit the ground running and own your projects, with guidance from your manager and teammates.

You’ll be placed on one of our core teams, however, you’ll also have opportunities to collaborate with other Analytics teams, giving you a broad view of our work and helping you discover where you might want to focus after graduation.

When you’re not performing your Analytics responsibilities you’ll be having fun, learning professional skills and networking with the rest of Enova. This internship will begin June 15, 2027 - August 19, 2027.

This role is hybrid and eligible candidates must be able to work in the Chicago office 3 days per week. Responsibilities: • Learn the technologies, strategies and analytic techniques we use here at Enova • Develop, enhance and test the company’s models for use in determining the appropriate lending criteria and verification procedures • Conduct ad hoc analysis using statistical and financial tools to recommend risk management, marketing and operational strategies • Work with senior management to develop key performance indicators (KPI's) to ensure that our products are performing optimally • Present on your project findings and results to key executives and the department at the conclusion of your internship Requirements: • Acceptable Graduation Dates: December 2027 - June 2028 • Been working toward a Bachelor’s or Master's Degree in Data Science, Statistics, Mathematics, Economics, or a related field • Advanced programming skills and the ability to write customized programs for meaningful data analysis and modeling (Python) • Experience working with relational databases, such as SQL • Knowledge in statistical methods and machine learning models • Ability to communicate technical concepts to a non-technical audience • Local to the Chicagoland area or willing to relocate Compensation: This is a paid internship.

The budgeted hourly rate for this position is $33.00 per hour for students pursuing a Bachelor's degree and $35.00 per hour for students pursuing a Masters degree.

Benefits & Perks: • Our hybrid roles require in-office work Tuesday through Thursday, with remote flexibility on Mondays and Fridays. This schedule fosters collaboration, team connection, and strategic planning, enhancing communication and effectiveness to drive results.

• Health, dental, and vision insurance including mental health benefits • 401(k) matching plus a roth option (U.S. Based employees only) • PTO & paid holidays off • Sabbatical program (for eligible roles) • Summer hours (for eligible roles) • Paid parental leave • DEI groups (B.

L.A.C.K. @ Enova, HOLA @ Enova, Women @ Enova, Pride @ Enova, South Asians @ Enova, APEX @ Enova, and Parents @ Enova) • Employee recognition and rewards program • Charitable matching and a paid volunteer day…Plus so much more!

About Enova Enova International is a leading financial technology company that provides online financial services through our AI and machine learning-powered Colossus™platform.

We serve non-prime consumers and businesses alike, while offering world-class technology and services to traditional banks—in order to create accessible credit for millions.

Being a values-driven organization is at the core of Enova’s success. We live our values by listening to our customers, challenging assumptions, thinking big, setting high expectations, and hiring and developing the best.

Through our values and our commitment to making Enova an awesome place to work, we maintain an environment of inclusion and culture where our employees can thrive.

You can learn more about Enova’s values and culture here. It is our policy to provide equal employment opportunity for all persons and not discriminate in employment decisions by placing the most qualified person in each job, without regard to any other classification protected by federal, state, or local law.

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