AI Intern

Nissan Motor Corporation

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

Posted 10/27/2026full-timeUnited StatesEntry LevelWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing predictive AI and machine learning models for portfolio risk analysis and business decision-making, with strong capabilities in data quality assessment, feature engineering, and large dataset analysis. Proficient in statistical modeling techniques and able to communicate analytical findings effectively to stakeholders.

Highest-signal resume keywords

Python ProgrammingSQL ProficiencyMachine Learning Model DevelopmentData Quality AnalysisStatistical Modeling Techniques

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Predictive AnalyticsFeature EngineeringLoss ForecastingModel ValidationBack-TestingBias and Fairness AssessmentsDrift MonitoringPortfolio Risk SegmentationDelinquency ModelingPrepayment Behavior Analysis

Soft Skills

Analytical SkillsProblem-Solving SkillsCommunication Skills

Tools & Technologies

Scikit-learnXGBoostSnowflakeAWSAnalytical Tools

Industry Keywords

Data ScienceArtificial IntelligenceMachine LearningFinancial ServicesRisk ModelsForecasting SolutionsLarge-Scale Datasets

Tech Stack

Tools & technologies

AWSPythonScikit-LearnSnowflakeSQL

About the role

Key responsibilities & impact

Develop predictive AI and machine learning models for portfolio risk analysis and business decision-making
Build Early Warning Vintage Monitoring models for 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 large-dataset analysis
Partner with Risk, Operations, and Technology teams to translate portfolio behavior into model features and business insights
Present project outcomes, recommendations, and analytical findings to stakeholders and senior leadership
Support Nissan Sales Finance technology systems and applications across the United States and Canada

Requirements

What you’ll need

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
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 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
Ability to perform work onsite in Dallas, TX or Franklin, TN
Experience with or exposure to Snowflake, AWS, predictive analytics, machine learning, artificial intelligence, financial services, risk models, forecasting solutions, analytical tools, and large-scale datasets preferred
Must be legally authorized to work in the United States
Successful completion of drug and background screenings

Benefits

Comp & perks

Business Synergy Teams (ERGs) and opportunities to strengthen relationships and foster belonging
Professional training and development through innovation offerings, seminars, learning platforms, and leadership trainings
Equal Employment Opportunity protections
Drug-free workplace
Employment eligibility validation through E-Verify