Data Scientist Intern - Python

About Us

At CNH, we're driven by a clear purpose: we serve and advance the people who feed and build a growing world.

As a global leader in agriculture and construction, we create the equipment, technology, and solutions that help our customers work more productively and sustainably. Our success starts with our people, and we foster a collaborative culture where innovation thrives and every employee has the opportunity to grow.

Grow a Career. Build a Future.

If you're ready to make an impact and build a career with purpose, there's a place for you at CNH.

Job Purpose

The PEPD PV DataOps team is a multi-functional group composed of Software Engineers, Data Scientists, Data Engineers, and Electrical Engineers. Since its formation in 2022, the team has been building a Python-based data platform that supports precision technology product development at CNH Industrial.

Our Mission: Empower Product Validation teams to reliably collect data and draw actionable, data-driven insights that improve the customer experience.
Our Objectives:

• Build a scalable, versatile, and resilient data platform

• Generate accessible, reliable, and trustworthy data

• Provide analytic support for actionable, data-driven insights

As a Data Scientist Intern, you will gain hands-on experience working with product performance data, applying AI and advanced analytics to generate insights that directly inform product validation and development.

Intern Program Overview:
We are committed to building a strong talent pipeline by investing in early career professionals. Our internship and co-op programs provide mentorship, training, hands-on experience, and growth opportunities that empower students to explore their career paths with confidence. Through competitive wages, networking events, social and volunteer activities, professional development workshops, and housing support, we strive to deliver one of the best internship experiences—designed to develop and inspire the talent of tomorrow. Summer interns work full-time (40 hours per week) from May through August. Candidates must be currently enrolled college students actively pursuing a degree to participate in the internship program.

Key Responsibilities

Your responsibilities may include:

• Leveraging AI to enrich performance metrics and uncover product performance insights

• Working with Python and large product performance datasets to generate key metrics, reports, and dashboards

• Collaborating with engineers and validation teams to ensure data-driven insights directly support product improvement initiatives

• Supporting the team’s mission to provide accessible, reliable, and actionable data that empowers smarter decision-making

Experience Required

Must currently be pursuing a Bachelor's degree in related field

Preferred Qualifications

Experience working with data using Python

Pay Transparency

The annual salary for this role is USD $19.57 - $35.02 plus any applicable bonus (Actual salaries will vary and will be based on various factors, such as skill, experience and qualification for the role.)

For roles open across multiple locations, the salary range indicated refers to the primary location. If a different location is considered, the applicable salary range will be communicated to candidates prior to the first interview.

What We Offer

We offer dynamic career opportunities across an international landscape. As an equal opportunity employer, we are committed to delivering value for all our employees and fostering a culture of respect.

At CNH, we understand that the best solutions come from the diverse experiences and skills of our people. Here, you will be empowered to grow your career, to follow your passion, and help build a better future. To support our employees, we offer regional comprehensive benefits, including:

• Flexible work arrangements
• Savings & Retirement benefits
• Tuition reimbursement
• Parental leave
• Adoption assistance
• Fertility & Family building support
• Employee Assistance Programs
• Charitable contribution matching and Volunteer Time Off