Data Scientist - Portfolio Consumer (Hybrid)

enova· Analytics
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📍 Chicago, IL

About this role

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:
We are seeking a talented Data Scientist to join our Credit Risk Modeling team. In this role, you will develop, enhance and test our models for use in new customer acquisition and managing our existing customer portfolio. Our team focuses on ways to drive growth while balancing risk. You will independently dive into open-ended problems in order to present recommendations to executives and actively manage the credit models and offer generation that power Enova’s business. You will demonstrate the ability to interpret and organize data, and communicate it effectively to cross functional teams to solve business problems, provide requirements, and support implementation.
Our models power our lending decisions, providing critical risk insight to enable competitive and profitable loan offers. Your role will be essential in improving and managing this fundamental area of our business.
Key responsibilities:
  • Develop and refine proprietary models to assess customer credit profile
  • Collaborate closely with the Strategy and Operations team to drive new initiatives
  • Design and implement A/B testing frameworks to evaluate the performance of our models and product configurations, analyzing outcomes to drive continuous improvement
  • Communicate insights and recommendations to senior management, providing a data-driven perspective on customer risk and product development strategies
Requirements:
  • Degree in Statistics, Mathematics, Economics, Computer Science, or a related field
  • 3+ years of experience in Data Science, Analytics or related field
  • Advanced programming skills and the ability to write customized programs for meaningful data analysis and predictive modeling (Python)
  • Experience working with relational databases, such as SQL
  • Excellent knowledge in applied statistical methods and machine learning models
  • Ability to improve your work flow and delivery timelines with AI tools.
  • Strong problem-solving skills and the ability to work independently in a fast-paced, dynamic environment
  • Experience in financial services, fintech, or a related industry preferred

Compensation:

The budgeted annual salary range for this position is $87,000 to $110,000. Actual annual salary will be determined based on qualifications, skills, experience, and level assessed during the hiring process and may fall outside of the range shown. Additional compensation for this role may include a bonus. All full-time employees are eligible to participate in Company benefits, described in more detail here.

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. California Applicants: Click here to review our California Privacy Policy for Job Applicants.

Frequently Asked Questions

Is the salary disclosed for the Data Scientist - Portfolio Consumer (Hybrid) position at enova?
The salary for this Data Scientist - Portfolio Consumer (Hybrid) role at enova is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the Data Scientist - Portfolio Consumer (Hybrid) position at enova located?
This Data Scientist - Portfolio Consumer (Hybrid) role at enova is based in Chicago, IL. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
Which team or department does the Data Scientist - Portfolio Consumer (Hybrid) at enova belong to?
This Data Scientist - Portfolio Consumer (Hybrid) position is part of the Analytics department at enova. See the full job description for more information about the team structure and responsibilities.
How do I apply for the Data Scientist - Portfolio Consumer (Hybrid) position at enova?
Click the "Apply Now" button on this page. You will be redirected to enova's official application portal hosted on greenhouse where you can submit your application directly.
When was the Data Scientist - Portfolio Consumer (Hybrid) job at enova posted?
This Data Scientist - Portfolio Consumer (Hybrid) position at enova was posted on Apr 9, 2026. Apply as soon as possible — early applications are often reviewed first.
Data Scientist - Portfolio Consumer (Hybrid)
enova
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