2027 TFS Data Science Internship

Toyota • Plano, TX

5d • Onsite

About The Position

Toyota Financial Services (TFS) is seeking highly motivated graduate students interested in technology, financial services, and the automotive industry for its Data Science Internship Program. The program combines on-the-job experience, networking, and mentorship. Interns spend approximately 12 weeks at Toyota Headquarters in Plano, Texas, from May through August 2027. Strong performers may be offered the opportunity to return for full-time positions.

Interns uncover actionable insights through data analysis and support data-based decision-making across the customer lifecycle. Work may support Sales and Marketing, Credit Risk, Residual Value, Customer Management and Collections, Finance and HR, or related Insurance and Manufacturing businesses. Example projects include developing or validating credit-risk models, testing pricing strategies for hourly vehicle rentals, and analyzing the effects of interest-rate reductions.

Toyota does not provide immigration support or sponsorship for this role. Applicants must be authorized to work in the United States without requiring Toyota sponsorship now or in the future.

Requirements

• Be within one year of completing a Master’s or Ph.D. in a heavily analytical discipline.
• Have advanced hands-on experience with tools such as Python (NumPy/Pandas), scikit-learn, R, and/or SQL.
• Have experience applying a variety of statistical and machine-learning techniques to solve problems.
• Be able to present analysis results and make recommendations to leadership.
• Demonstrate problem-solving ability, creative thinking, and a passion for learning and growth.
• Be at least 18 years of age.
• Have reliable transportation.
• Have the right to work in the United States without requiring Toyota immigration-related employment sponsorship now or in the future.
• Have a minimum GPA of 2.7.

Nice To Haves

• Exposure to or familiarity with 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.

Responsibilities

• Partner with business stakeholders to identify important questions about customers and their value.
• Extract and wrangle data from internal and external systems using tools such as SQL, Python, and R.
• Analyze data and build models using advanced analytics techniques and statistical software.
• Develop, manage, and deploy analytical solutions.
• Prepare PowerPoint presentations that recommend business decisions.
• Visualize findings through fixed reports or tools such as Tableau and Power BI.
• Develop analytical project plans and coordinate information flows with upstream and downstream teams.
• Attend and participate, where appropriate, in project planning and prioritization sessions.

Benefits

• A work environment built on teamwork, flexibility, and respect.
• Professional growth and development programs and opportunities.
• The interview process can provide details about Toyota’s industry-leading benefits and career development opportunities.

What This Job Offers

• Career Level: Intern