AI Intern - Summer 2027 - Dallas, TX or Franklin, TN

Location: Irving, Texas - United States of America; Franklin, Tennessee - United States of America

Location(s): Dallas, TX or Franklin, TN Job Schedule: Full-time, 12-week program Degree Level: Junior or Senior Preferred Degree: Data Science, Computer Science, Artificial Intelligence, Machine Learning, Statistics, Applied Mathematics, Data Analytics, Information Systems, Engineering, or a related field Sponsorship: Not Available

Shape the Future of Mobility at Nissan: Launch Your Career, Drive Innovation

We are currently looking for an AI Intern to join our team in Dallas, TX or Franklin, TN. Our team manages technology systems and applications supporting Nissan's Sales Finance companies across the United States and Canada. We are responsible for delivery and operations across core lending systems while also supporting customer and dealer systems, data quality initiatives, and artificial intelligence solutions. This internship opportunity will be within the Data Quality & AI team, where the selected candidate will develop predictive AI models to support NMAC portfolio risk analysis. The intern will work closely with the NMAC Risk team and may have the opportunity to present their solutions and findings to senior leaders, including the VP of Operations and President.

A Day in the Life

Develop predictive AI and machine learning models to support portfolio risk analysis and business decision-making.

Build Early Warning Vintage Monitoring models to improve loss forecasting and proactive risk detection.

Develop forecasting and planning models to enhance lifetime loss projections and net credit loss forecasts.

Perform data quality assessments, feature engineering, and analysis of large datasets to identify meaningful risk indicators.

Partner with Risk, Operations, and Technology teams to translate portfolio behavior into actionable model features and business insights.

Present project outcomes, recommendations, and analytical findings to business stakeholders and leadership.

Who We’re Looking For: Required:

Must be currently enrolled in an undergraduate or graduate degree program in Data Science, Computer Science, Artificial Intelligence, Machine Learning, Statistics, Applied Mathematics, Data Analytics, Engineering, Information Systems, or a related field.

Students entering their Junior or Senior year at the start of the upcoming academic term.

Strong experience with Python, SQL, scikit-learn, XGBoost, and statistical modeling techniques.

Experience with data quality analysis, feature engineering, and working with large datasets.

Ability to build models related to delinquency, default probability, loss forecasting, prepayment behavior, and portfolio risk segmentation.

Knowledge of model validation, back-testing, bias and fairness assessments, drift monitoring, and model explainability techniques.

Strong analytical, problem-solving, and communication skills.

GPA of 3.0 or above (Candidates will be required to provide an official or unofficial transcript during the application process for verification.)

Ability to perform work onsite in Dallas, TX or Franklin, TN.

Preferred

Experience working with cloud and data platforms such as Snowflake, AWS, or similar technologies.

Exposure to predictive analytics, machine learning, and artificial intelligence applications in financial services.

Experience developing risk models, forecasting solutions, or analytical tools using large-scale datasets.

Ability to translate complex analytical findings into clear business recommendations.

Interest in risk management, portfolio analytics, auto finance, or financial technology.

What You’ll Look Forward to at Nissan

Connection and Collaboration: We offer Business Synergy Teams (ERGs) and opportunities for our employees to strengthen their relationships and meet people from similar and diverse backgrounds to foster a culture of belonging.

Professional Training and Development: Expand your knowledge and skills through Nissan’s rich innovation offerings, seminars, learning platforms, and leadership trainings.

Nissan is committed to a drug-free workplace. All employment is contingent upon the successful completion of drug and background screenings in accordance with Nissan policies and in compliance with federal, state, and local laws, including the California Fair Chance Act and the Los Angeles County Fair Chance Ordinance. Nissan will consider qualified candidates with arrest or conviction records for employment in a manner consistent with these laws.

It is Nissan’s policy to provide Equal Employment Opportunity (EEO) to all persons regardless of race, gender, military status, disability, or any other status protected by law. Candidates for this position must be legally authorized to work in the United States and will be required to provide proof of employment eligibility at the time of hire; Nissan uses E-Verify to validate employment eligibility.

NISSAN FOR EVERYONE

People are our most valuable assets, and Nissan seeks to maximize the power of each individual member of our team. When everyone belongs, the power of NISSAN is undeniable. Nissan aims to improve business results through a workplace and business that meets the needs of our employees and customer base.

Nissan is committed to creating a culture where everyone belongs and employees, customers, and partners feel respected, valued, and heard. We have Business Synergy Teams (BSTs) across the Americas that are open to all employees and seek to connect employees through common interests and foster a company culture where all employees feel supported and included.

Nissan also values inclusion in our business as we respect and recognize the diversity of our customer base and the communities where we do business. We are committed to procuring innovative goods and services, retailing our products, and communicating from a position that will help us continue to offer our customers competitively designed, market-driven products.