Sr Data Scientist - GM Protection

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.

Job Description At GM Financial, our team members define and shape our culture — an environment that welcomes new 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.

GM Financial is targeting significant growth as it transforms the Protection/Insurance Products into a full captive platform. Our team is responsible for bringing the branded General Motors F&I products to market, and we work hands on with our dealer partners to improve performance in their F&I department. To provide the most competitive products and business insights, we are building advanced data and analytics capabilities.

The Senior Data Scientist is responsible for implementing the design, development, deployment, and maintenance of predictive, prescriptive, and statistical models to support marketing effectiveness and claims optimization for GM Protection. This includes modeling with expertise in forecasting, optimization, and advanced analytics, as well as applying modern AI/ML techniques such as natural language processing (NLP) and large language models (LLMs). The role involves analyzing complex datasets, conducting studies using descriptive and supervised learning methods, and leveraging innovative algorithms to deliver actionable insights.

You will summarize and present findings to internal stakeholders, collaborate with cross‑functional teams to achieve business objectives, and lead research and analysis to quantify the impact of internal and external factors on portfolio performance. The Senior Data Scientist serves as a subject matter expert with deep knowledge of quantitative methods, data ecosystems, and modern tools.

• Provide leadership, coaching, and/or mentoring to Data Scientists I and II
• Assist in analyzing key metrics and performing data analysis
• Build technical knowledge to support research and analytic responsibilities including advanced techniques and algorithms
• Conduct research projects, incorporate project design, data collection and analysis, summarizing findings, developing recommendations and effectively communicating to leadership the impact to the business
• Develop and apply algorithms or models to key business metrics with the goal of improving operations or answering business questions
• Ensure that the delivered products meet the business needs of the company
• Partner 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
• Prioritize tasks and meet project deadlines in a fast‑paced work environment

• Strong quantitative, analytical and data interpretation skills with a solid foundation of mathematics, probability, and statistics
• Ability to identify and understand business issues and map these issues into quantitative questions
• 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 as well as hands‑on experience with NLP, LLMs, and Agentic RAG‑based solutions
• Advanced skills and proficiency in Python, SAS, SQL
• Ability to design and implement model documentation and monitoring protocols
• Comprehensive knowledge and experience with data engineering, and data analysis techniques in…