2027 TFS Data Science Internship

About the Role

Toyota Financial Services (TFS) Data Science team is looking for highly motivated, driven graduate students with an interest in technology, financial services, and the automotive industry to fill internship roles in our Data Science team. The Data Science Internship Program is designed to provide a combination of on-the-job experience, networking, and mentorship. As a Data Science Intern, you will spend approximately 12 weeks at Toyota Headquarters in Plano, TX. The program will run from May – August 2027.

Location

• Toyota Headquarters - Plano, TX

What You’ll Be Doing

Through this internship, you will uncover actionable insights through data analysis and help drive data-based decision making throughout the customer lifecycle. You will support one or more areas, including Sales and Marketing, Credit Risk, Residual Value, Customer Management and Collections, Finance & HR, or associated business including Insurance and Manufacturing.

• Partner with the business to identify key questions about customers and their value.
• Perform hands-on data extraction and wrangling from internal and external systems using SQL, Python, R.
• Conduct analysis and model building using advanced analytics tools and techniques with statistical software packages like Python, R.
• Develop, manage, and deploy analytic solutions using statistical software packages like R, Python.
• Build PowerPoint presentations to recommend business decisions.
• Create output and/or results that visualize findings using fixed reports and/or tools like Tableau/Power BI.
• Develop analytical project plans and integrate information flow with upstream and downstream teams.
• Attend and participate in project planning and prioritization sessions.

Projects May Include

• Credit Risk Champion Challenger Model: Create a new model to predict customer credit risk using an advanced predictive algorithm.
• Price Testing for Hourly Vehicle Rentals: Implement and analyze multiple pricing tests to understand the impact of various pricing strategies.
• Interest Rate Reduction Test: Implement and analyze data from a test where interest rates were reduced to calculate the impact on specific KPIs.

Requirements & Tech Stack

• Advanced hands-on experience with tools such as Python (NumPy/Pandas), scikit-learn, R, and/or SQL.
• Experience using a variety of statistical and machine learning techniques to solve problems.
• Exposure and familiarity with topics like Logistic Regression, Time Series Analysis, Experimental Design, Generalized Linear Models, Mixed Modeling, Multivariate Statistics, Large-Scale Predictive Modeling, CHAID/decision trees, Gradient Boosted Trees, Random Forests, and Neural Networks.

Qualifications

• Within 1 year of completing a Master’s or Ph.D. in a heavily analytical discipline.
• Must be 18 years of age or older.
• Must have reliable transportation.
• Must have the right to work in the United States and not require Toyota sponsorship for immigration-related employment (e.g., H-1B, O-1, E-3, H-1B1, TN, or F-1 OPT extension) now or in the future.
• Minimum GPA of 2.7 or higher.
• Ability to problem-solve and think outside the box with a passion to learn and grow.
• Ability to present analysis results and make recommendations to leadership.

What We’ll Bring

• A work environment built on teamwork, flexibility, and respect.
• Professional growth and development programs and opportunities.