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

Nissan • Irving, TX

12d • Onsite

About The Position

Nissan is hiring an AI Intern for its Data Quality & AI team in Dallas, Texas, or Franklin, Tennessee. The team manages technology systems and applications for Nissan’s Sales Finance companies in the United States and Canada, including core lending systems, customer and dealer systems, data quality initiatives, and AI solutions. The intern will develop predictive AI models to support NMAC portfolio risk analysis, working closely with the NMAC Risk team. The role may include presenting solutions and findings to senior leaders, including the VP of Operations and President.

This is a full-time, 12-week summer internship for students entering their junior or senior year. The intern will build predictive and forecasting models, analyze large datasets, collaborate with Risk, Operations, and Technology teams, and communicate analytical findings to business stakeholders. Work must be performed onsite in Dallas, TX, or Franklin, TN. Employment sponsorship is not available.

Requirements

• Currently enrolled in an undergraduate or graduate degree program in a listed or related field, such as Data Science, Computer Science, Artificial Intelligence, Machine Learning, Statistics, Applied Mathematics, Data Analytics, Engineering, or Information Systems.
• Entering 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 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; an official or unofficial transcript is required during the application process for verification.
• Ability to perform work onsite in Dallas, TX, or Franklin, TN.
• Must be legally authorized to work in the United States and provide proof of employment eligibility at hire.

Nice To Haves

• Experience 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.

Responsibilities

• 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.

Benefits

• Business Synergy Teams (ERGs) and opportunities to build relationships and connect with colleagues from similar and diverse backgrounds.
• Professional training and development through seminars, learning platforms, innovation offerings, and leadership training.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern
• Education Level: No Education Listed