2027 TFS Data Science Internship

Toyota; Plano (TX); On-site; USD 28,000 - 39,000; Part time

Job summary

Toyota Financial Services Data Science Internship Program is seeking highly motivated graduates to work on real-world analytics projects in Plano, TX. You will gain hands-on experience over a ~12-week period (May–August 2027), collaborating with a global team to explore customer value, pricing, risk, and other business KPIs.

Ideal candidates are within 1 year of completing a Master's or Ph.D. in a analytical field, proficient in Python, SQL, R, and ML techniques, and eager to learn and present

Qualifications

• Must be within 1 year of completing a Master's or Ph.D. in a heavily analytical discipline.
• Advanced hands-on experience with Python (NumPy/Pandas), scikit-learn, R, and/or SQL.
• Experience using a variety of statistical and machine learning techniques to solve problems.
• Exposure to Logistic Regression, Time Series, Experimental Design, GLMs, Mixed Modeling, Multivariate Statistics, Large-Scale Predictive Modeling, CHAID/trees, Gradient Boosted Trees, Random Forests, and Neural Networks.
• Ability to problem solve and learn quickly with a motivation to grow.
• Presenting analysis results and making recommendations to leadership.

Responsibilities

• Partner with the business to identify key questions about customers and their value.
• Extract and wrangle data from internal/external systems using SQL, Python, R.
• Build and evaluate models using statistical software like Python and R.
• Develop, manage and deploy analytic solutions using R, Python, etc.
• Create PowerPoint presentations to support business decisions.
• Visualize findings with fixed reports or tools like Tableau/Power BI.
• Plan analytics projects and integrate information with teams upstream and downstream.

Skills

Python

SQL

R

Machine learning

Data analysis

Communication & presentation

Education

Master's or PhD in analytical discipline

Tools

NumPy/Pandas

scikit-learn

Tableau/Power BI

Job description

Location Plano, Texas, 75024 Category College & Trainee Programs Job Id 10338545 Posted Date 10/20/2026

Collaborative. Respectful. A place to dream and do. These are just a few words that describe what life is like at Toyota. As one of the world's most admired brands, Toyota is growing and leading the future of mobility through innovative, high-quality solutions designed to enhance lives and delight those we serve. We're looking for talented team members who want to Dream. Do. Grow. with us.

Toyota does not offer support or sponsorship of job applicants for employment-based visas or any other work authorization for this role now or in the future. You must have the right to work in the United States and not require Toyota support or sponsorship for immigration-related employment (e.g., H-1B, O-1, E-3, H-1B1, TN, F-1 OPT, F-1 STEM OPT, F-1 CPT, 'job flexibility benefits' [also known as I-140 or Adjustment of Status portability], etc.) now or in the future. You should not apply for this role if you will require Toyota to assist with immigration support or sponsorship now or in the future.

Who we are looking for:

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, which are critical components for personal and professional growth. As a Data Science Intern, you will spend approximately 12 weeks at our Toyota Headquarters in Plano, TX gaining relevant work experience with a globally respected company. The program will run from May - August 2027. Strong performers are often given the opportunity to return for full-time positions.

What you'll be doing:

• Partner with the business to identify the most important questions that need to be answered about our customers and their value.
• Hands on data extraction and data wrangling from internal and external systems using SQL, Python, R, etc.
• Analysis and model building using advanced analytics tools and techniques using statistical software packages like Python, R, etc.
• Develop, manage and deploy analytic solutions using statistical software packages like R, Python, etc.
• 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 inflows and outflows of information with teams upstream and downstream from analytical efforts.
• Attend and participate (where appropriate) in various project planning and prioritization sessions.

Projects may include:

• Credit Risk Champion Challenger Model - create a new model to predict customer credit risk using a more advanced predictive algorithm to either find a better way of predicting customer credit risk or validate that the current model performs better than the proposed new model.
• Price Testing for Hourly Vehicle Rentals - implement multiple pricing tests and analyzed the resulting data to learn the impact of various pricing strategies on the hourly rental business.
• Interest Rate Reduction Test - implement a test where the interest rates charged in some areas of the country were reduced by a specified amount and the resulting data was analyzed using statistical methods to calculate the impact of the rate reduction on specific KPIs.

What you bring:

• Within 1 year of completing a Master's or Ph.D. in a heavily analytical discipline
• Advanced hands-on experience with tools such as Python (NumPy/Pandas), scikit-learn, R, and/or SQL.
• Experience in 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.
• Ability to problem solve and think outside the box with a passion to learn and grow
• Presenting analysis results and making recommendations to leadership

Required Qualifications

• 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 forimmigration-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
• Within 1 year of completing a Master's or Ph.D. in a heavily analytical discipline

What we'll bring

During your interview process, our team can fill you in on all the details of our industry-leading benefits and career development opportunities. A few highlights include:

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

Belonging at Toyota

Our success begins and ends with our people. We embrace all perspectives and value unique human experiences. Respect for all is our North Star.

Applicants for our positions are considered without regard to race, ethnicity, national origin, sex, sexual orientation, gender identity or expression, age, disability, religion, military or veteran status, or any other characteristics protected by law.