Data Science Analyst

Locations: Wilmington, DE; Charlotte, NC (Hybrid)

As an Data Science Analyst, you’ll develop the technical skills to build the machine learning systems that drive our company and produce great customer outcomes. You’ll get hands-on experience as you apply your talents, creativity, and passion to create innovative solutions to real-world data science use cases. No matter the projects, you’ll have the opportunity to explore, while learning from experts in consumer lending in a close-knit team-oriented environment.

This role will provide exposure across multiple disciplines to accelerate your career growth.

In the Role:

• Apply diverse statistical and machine learning techniques to analyze a variety of datasets to solve complex, unstructured business problems.

• Actively contribute to our team’s vibrant culture through sharing knowledge, helping peers, and generally being a great person to work with.

• Develop creative technical solutions to improve the company’s decision making, the customer’s experience, and shareholder returns.

• Evaluate non-traditional data sources to see if they result in better underwriting decisions, saving our hard-working customers millions in interest payments.

• Mine the “digital exhaust” of our marketing campaigns to identify new populations who would benefit from our products.

• Partner with our operations teams to surface data insights that will allow our thousands of branch staff to better serve our customers.

Requirements:

• Current post-graduate degree student in a quantitative discipline (Engineering, Data Science, Statistics, Biostatistics, Physics, Economics, Operations Research, or Computer Science) with an expected graduation date of Winter 2026 or Spring 2027.

• Outstanding communication skills, including the ability to explain technical topics and concepts to a non-technical audience.

• Proven experience (in an academic, athletic, volunteer, or employment context) working with teams of diverse individuals to deliver complex projects.

• Experience in use of open-source machine learning libraries (Python or R).

• Innovative and capable of developing creative solutions to complex, data-driven problems.

Preferred:

• Successful candidates will possess strong analytic, strategic thinking, communications, and leadership skills.

• They will also demonstrate curiosity, creative problem solving, integrative business thinking, teamwork, and bias for action.

• Just as importantly, they will be enthusiastic learners who want to tackle real-world challenges.

About You:

• You are ready to launch your data science career.

• You want to create solutions to help hard-working Americans improve their financial lives.

• You want to work on a modern cloud-based data infrastructure.

• You want to directly learn from some of the best data science and business leaders in consumer finance.

• You want to be part of a team which is nimble, collaborative, diverse, and fun.

Who we Are:

OneMain Financial (NYSE: OMF) is the leader in offering nonprime customers responsible access to credit and is dedicated to improving the financial well-being of hardworking Americans. Since 1912, we’ve looked beyond credit scores to help people get the money they need today and reach their goals for tomorrow. Our growing suite of personal loans, credit cards and other products help people borrow better and work toward a brighter future.

Driven collaborators and innovators, our team thrives on transformative digital thinking, customer-first energy and flexible work arrangements that grow lives, careers and our company. At every level, we’re committed to an inclusive culture, career development and impacting the communities where we live and work. Getting people to a better place has made us a better company for over a century. There’s never been a better time to shine with OneMain.

Because team members at their best means OneMain at our best, we provide opportunities and benefits that make their health and careers a priority. That’s why we’ve packed our comprehensive benefits package for full- and some part-time employees with:

• Health and wellbeing options including medical, prescription, dental, vision, hearing, accident, hospital indemnity, and life insurances

• Up to 4% matching 401(k)

• Employee Stock Purchase Plan (10% share discount)

• Tuition reimbursement

• Paid time off (15 days vacation per year)

• Paid sick leave as determined by state or local ordinance, prorated based on start date

• Paid holidays (11 days per year, based on start date)

• Paid volunteer time (3 days per year, prorated based on start date)

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