Mobility Data Science Intern: Build Insights & AI Solutions

Nissan Motor Corporation; Franklin (TN); On-site; USD 25,000 - 34,000; Full time

Job summary

Nissan in Franklin, Tennessee is seeking a Data Science Intern to join the TCS QSM Data Analytics team. You will work with complex vehicle, warranty, and customer data to deliver actionable insights, predictive models, and data-driven solutions.

The internship provides hands-on experience with Snowflake, SQL, Python, visualization tools, and cloud technologies while collaborating with experienced analysts and data scientists on real-world challenges.

Qualifications

• Must be currently enrolled in an undergraduate or graduate degree program in Data Analytics, Data Science, Statistics, Engineering, Computer Science, or a related quantitative field.
• Students entering their Junior, Senior, or Master's program at the start of the upcoming academic term.
• GPA of 3.0 or above (official transcript required).
• Ability to perform work onsite at Franklin, TN.

Responsibilities

• Clean, transform, and analyze complex datasets to uncover trends, insights, and opportunities.
• Develop SQL queries, Python-based analytics solutions, and data-driven applications.
• Create dashboards, visualizations, and reporting tools that support business decision-making.
• Explore and apply machine learning and AI technologies to solve business challenges.
• Support projects involving Connected Vehicle applications, backend data platforms, customer retention models, and customer loyalty analytics.

Skills

Analytical thinking

Problem-solving

Critical thinking

Communication skills

Education

Senior or Master's degree

Tools

SQL

Python

Job description

Nissan in Franklin, Tennessee is seeking a Data Science Intern to join the TCS QSM Data Analytics team. You will work with complex vehicle, warranty, and customer data to deliver actionable insights, predictive models, and data-driven solutions.

The internship provides hands-on experience with Snowflake, SQL, Python, visualization tools, and cloud technologies while collaborating with experienced analysts and data scientists on real-world challenges.