What are the responsibilities and job description for the Intern - Data Science position at GM Financial?
Why GM Financial?
GM Financial is the wholly owned captive finance subsidiary of General Motors and is headquartered in Fort Worth, U.S. We are a global provider of auto finance solutions, with operations in North America, South America, and the Asia Pacific region. Through our long-standing relationships with auto dealers, we offer attractive retail financing and lease programs to meet the needs of each customer. We also offer commercial lending products to dealers to help them finance and grow their businesses.
At GM Financial, our team members define and shape our culture — an environment that welcomes innovative ideas, fosters integrity, and creates a sense of community and belonging. Here we do more than work — we thrive.
Our Purpose: We pioneer the innovations that move and connect people to what matters
Responsibilities
Our program offers:
- 12-weeks of work experience (May 21 – Aug. 8, 2025)
- Competitive salary
- Executive and peer networking opportunities
- Independent and team project experiences
- Philanthropic activities
- Career development
- Opportunity to apply for full-time career position
Job Description
- Modeling with expertise in forecasting, optimization, data mining, analysis, and analyzing complex datasets;
- Conducting studies with the use of descriptive and supervised machine learning methods and advanced statistical methods using innovative and the latest advanced technique and algorithms;
- Summarizing, reporting, and providing polished presentations to business leaders
- Performs research, analysis, and modeling on organizational data
- Assists in analyzing key metrics and performing data analysis
- Builds technical knowledge to support research and analytic responsibilities including advanced techniques and algorithms
- Conducts research projects, incorporate project design, data collection and analysis, summarizing findings, developing recommendations, and effectively communicating to leadership the impact to the business
- Develops and applies algorithms or models to key business metrics with the goal of improving operations or answering business questions
- Ensures that the delivered products meet the business needs of the company
- Partners with and provide recommendations to business leadership on the appropriate application of analytics to business strategies and effectively communicate analysis and implications to senior leadership
- Strong quantitative, analytical and data interpretation skills with a solid foundation of mathematics, probability, and statistics
- Advanced knowledge and demonstrated understanding of applied methodologies including least squares regression, logistic regression, sampling methodologies, time series, survival analysis, cluster analysis, categorical data analysis, decision trees, multivariate methodologies, non-parametric techniques, principal components, and linear programming techniques
- Advanced skills in Python, SAS, SQL, R, JMP, Excel, Word, PowerPoint
- Ability to design and implement model documentation and monitoring protocols
- Demonstrated understanding and experience with technical systems, datasets, data warehouses, and data analysis techniques
Qualifications
- Must be a current student pursuing a bachelor's degree or higher from an accredited college or university in Computer Science, Data Science, Data Analytics, Information Systems, Statistics with at least one semester remaining upon start of the internship.
- Must possess a minimum of a 3.0 (out of a 4-point scale) overall GPA.
- Junior or Senior classification preferred.
- Strong written and verbal communication skills required. This incumbent will be required to give presentations and communicate with business leaders.
- Strong analytical, quantitative, problem solving, and conceptual skills required.
- Must be detail oriented and able to prioritize tasks to meet deadlines.
- Must be able to work independently or in a team setting.
- Previous internships are considered a plus.
Our Culture: Our team members define and shape our culture — an environment that welcomes innovative ideas, fosters integrity, and creates a sense of community and belonging. Here we do more than work — we thrive.
Work Life Balance: Flexible hybrid work environment, 2-days a week in office
