Data Science Internship: AI for Smart Manufacturing

Nissan Motor Corporation; Smyrna (TN); On-site; USD 34,000 - 44,000; Full time

Job summary

Nissan Motor Corporation in Smyrna, TN is seeking a Data Science Intern to join our team for a 12-week, full-time program. You will work with AI technologies and data analytics to optimize manufacturing performance and throughput in a world-class automotive production environment.

You’ll develop AI-powered tools, support root-cause analysis, analyze downtime and performance data, and collaborate with engineering and maintenance to drive data-driven improvements onsite.

Qualifications

• Must be enrolled in an undergraduate or graduate degree program in Data Science, Computer Science, Artificial Intelligence, Machine Learning, Information Systems, Computer Engineering, or a related field.
• Students entering their Junior, Senior, or Master’s program at the start of the upcoming academic term.
• Strong programming skills with Python, SQL, C++ or similar technologies.
• Strong analytical and problem-solving abilities.
• Willingness to work onsite at Smyrna, TN with GPA 3.0+.

Responsibilities

• Develop AI-powered tools to improve manufacturing efficiency and operational performance.
• Support root cause analysis using data analytics and AI technologies to identify and resolve process issues.
• Analyze downtime events and manufacturing performance data to uncover improvement opportunities.
• Assist with enhancements to CMMS and related reporting tools.
• Collaborate with engineering, maintenance, and production teams to implement data-driven continuous improvement initiatives.

Skills

Python

SQL

C++

Analytical skills

Communication

Education

Pursuing Data Science/CS/AI/ML degree

Job description

Nissan Motor Corporation in Smyrna, TN is seeking a Data Science Intern to join our team for a 12-week, full-time program. You will work with AI technologies and data analytics to optimize manufacturing performance and throughput in a world-class automotive production environment.

You’ll develop AI-powered tools, support root-cause analysis, analyze downtime and performance data, and collaborate with engineering and maintenance to drive data-driven improvements onsite.