Data Science Intern
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Job Description
About GM Financial:
GM Financial is the wholly-owned captive finance subsidiary of General Motors, headquartered in Fort Worth, U.S. It’s a global provider of auto finance solutions, operating in North America, South America, and the Asia Pacific region. They offer retail financing and lease programs to customers through relationships with auto dealers, and also provide commercial lending products to help dealers finance and grow their businesses. The company emphasizes a culture that values innovation, integrity, and community.
Job Description: Data Science Intern
This 12-week internship (May 21 – August 8, 2025) offers a competitive salary, networking opportunities, experience with independent and team projects, philanthropic activities, career development, and the possibility of a full-time job offer.
The intern will be responsible for:
• Modeling and Analysis: Developing expertise in forecasting, optimization, data mining, and analyzing complex datasets. This includes employing descriptive and supervised machine learning methods, advanced statistical methods, and the latest techniques and algorithms. The intern will summarize, report, and present findings to business leaders.
• Research and Project Work: Conducting research, analysis, and modeling on organizational data; analyzing key metrics; building technical knowledge to support research and analytic responsibilities; conducting research projects (including design, data collection, analysis, and summarizing findings); developing recommendations and communicating their impact to leadership.
• Algorithm Development and Application: Developing and applying algorithms or models to key business metrics to improve operations or answer business questions. Ensuring that delivered products meet business needs.
• Business Partnership and Communication: Partnering with and providing recommendations to business leadership on the application of analytics to business strategies; effectively communicating analysis and implications to senior leadership.
Required Skills and Qualifications:
• Current student pursuing a bachelor’s degree or higher in Computer Science, Data Science, Data Analytics, Information Systems, or Statistics, with at least one semester remaining after the internship starts.
• Minimum 3.0 GPA (out of 4.0 scale). Junior or senior classification preferred.
• Strong written and verbal communication skills (including presentation skills).
• Strong analytical, quantitative, problem-solving, and conceptual skills.
• Detail-oriented with the ability to prioritize tasks and meet deadlines.
• Ability to work independently and in a team setting.
• Previous internship experience is a plus.
Technical Skills:
• Advanced knowledge 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, and 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.
Work Environment: Flexible hybrid work environment with two days a week in the office.
