AI-Driven Data Science Intern - Manufacturing Ops

Nissan; Smyrna (TN); On-site; USD 25,000 - 39,000; Full time

Job summary

Nissan in Smyrna, TN invites a Data Science Intern to join a 12-week program focused on AI technologies and data analytics to improve manufacturing performance. You will work with engineering, maintenance and production teams to implement data-driven improvements, analyze downtime, and contribute to CMMS enhancements.

The role requires current enrollment in a related degree program and strong Python/SQL/C++ skills, with a passion for AI and manufacturing tech.

Qualifications

• Currently enrolled in an undergraduate or graduate degree program in Data Science, Computer Science, Artificial Intelligence, Machine Learning, Information Systems, Computer Engineering, or related field.
• Students entering their Junior, Senior, or Master's program at the start of the upcoming academic term.
• Strong computer and technical skills with an interest in AI, analytics, and manufacturing technologies.
• Experience with programming languages such as Python, SQL, C++, or similar technologies.
• Strong written and verbal communication skills.

Responsibilities

• Develop AI-powered tools to improve manufacturing efficiency and operational performance.
• Support root cause analysis activities by leveraging 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++

Data analytics

AI/ML concepts

Education

Data Science

Computer Science

Artificial Intelligence

Machine Learning

Information Systems

Computer Engineering

Tools

CMMS

SCADA

Databases

ERP systems

Job description

Nissan in Smyrna, TN invites a Data Science Intern to join a 12-week program focused on AI technologies and data analytics to improve manufacturing performance. You will work with engineering, maintenance and production teams to implement data-driven improvements, analyze downtime, and contribute to CMMS enhancements.

The role requires current enrollment in a related degree program and strong Python/SQL/C++ skills, with a passion for AI and manufacturing tech.