AI Intern - Summer 2027 - Dallas, TX or Franklin, TN
About The Position
Nissan is seeking an AI Intern for its Data Quality & AI team in Dallas, Texas, or Franklin, Tennessee. The team manages technology systems and applications supporting Nissan’s Sales Finance companies in the United States and Canada, including core lending systems, customer and dealer systems, data quality initiatives, and artificial intelligence solutions. The intern will develop predictive AI and machine learning models to support NMAC portfolio risk analysis and business decision-making. The role includes building early-warning vintage monitoring models, developing forecasting and planning models for lifetime loss projections and net credit loss forecasts, and assessing data quality and engineering features from large datasets. The intern will work with Risk, Operations, and Technology teams and may present solutions and findings to senior leaders, including the VP of Operations and President. This is a full-time, 12-week summer 2027 internship. Candidates must be able to work onsite in Dallas, TX, or Franklin, TN. Applicants must be legally authorized to work in the United States; sponsorship is not available. Employment is contingent upon successful drug and background screenings.
Requirements
- Currently enrolled in an undergraduate or graduate degree program in a relevant 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 work onsite in Dallas, TX, or Franklin, TN.
- Legally authorized to work in the United States and able to provide proof of employment eligibility at hire; sponsorship is not available.
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 for 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 for lifetime loss projections and net credit loss forecasts.
- Perform data quality assessments, feature engineering, and analysis of large datasets to identify risk indicators.
- Partner with Risk, Operations, and Technology teams to turn portfolio behavior into model features and business insights.
- Present project outcomes, recommendations, and analytical findings to business stakeholders and leadership.
Benefits
- Opportunities to connect with colleagues through Business Synergy Teams (ERGs).
- Professional training and development through innovation offerings, seminars, learning platforms, and leadership trainings.
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What This Job Offers
Job Type
Full-time
Career Level
Intern
Education Level
No Education Listed
