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Data Science Analyst

OneMain Financial

Salary not specified
Aug 16, 2025
Wilmington, DE, US
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OneMain Financial is looking to solve complex, unstructured business problems in consumer lending using machine learning systems to drive the company and produce great customer outcomes.

Requirements

  • Experience in use of open-source machine learning libraries (Python or R).
  • Strong analytic and strategic thinking skills.
  • Curiosity, creative problem solving, integrative business thinking, teamwork, and bias for action.
  • Innovative and capable of developing creative solutions to complex, data-driven problems.
  • Strong understanding of statistical and machine learning techniques.
  • Ability to work with large datasets and develop insights.
  • Familiarity with cloud-based data infrastructure.

Responsibilities

  • Apply diverse statistical and machine learning techniques to analyze a variety of datasets to solve complex, unstructured business problems.
  • 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.
  • Actively contribute to our team’s vibrant culture through sharing knowledge, helping peers, and generally being a great person to work with.

Other

  • 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 2025 or Spring 2026.
  • 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.
  • Ability to work in a team-oriented environment and collaborate with others.
  • Strong leadership skills and ability to work in a fast-paced environment.