Data, Analytics & AI Internships, Summer 2027

inmar; Winston-Salem (NC); On-site; USD 18,000 - 24,000; Full time

Job summary

Inmar Intelligence invites students to join its Summer Internship Program, offering hands-on experience with data, analytics, and AI projects. Interns work on high-impact cross-functional team assignments and department-specific responsibilities under the guidance of a direct manager.

Opportunities span Data Analytics, BI, Data Engineering, Data Science, AI, and related data-focused functions. Interns analyze data, build reports, and contribute to data pipelines and models in a collaborative,

Responsibilities

• Analyze business, customer, operational, or product data to identify trends, patterns, gaps, and opportunities.
• Help develop reports, dashboards, metrics, and visualizations that make complex information easier to understand and use.
• Translate analytical findings into clear insights and recommendations for technical and nontechnical audiences.
• Gather, organize, clean, validate, and prepare data from multiple sources for analysis, reporting, or product use.
• Support the development, testing, and optimization of data pipelines and data processing workflows.
• Help improve data quality, reliability, documentation, governance, and accessibility.
• Contribute to the design and development of scalable data and analytical solutions using cloud‑based technologies.
• Explore, develop, or support predictive models, machine learning, and advanced analytical solutions.
• Collaborate with Data, Analytics, Engineering, Product, Business Intelligence, Operations, and other teams to solve business problems.

Job description

Discover Your Future with Inmar Intelligence: Where Potential Meets Purpose

For more than 45 years, Inmar Intelligence has helped some of the world's leading brands, retailers, and healthcare organizations solve complex challenges through data, technology, and innovation. Our work has a meaningful impact on everyday life - from helping consumers save money to making healthcare safer and more efficient and helping businesses operate smarter.

Behind that work are people who are curious, collaborative, and motivated to make things better. At Inmar, our High Challenge, High Support culture creates an environment where people are encouraged to stretch their thinking, take on meaningful challenges, and grow - with the support and partnership to succeed.

Where Potential Meets Purpose comes to life through the opportunities our interns have to learn, contribute, and grow. You bring your curiosity, perspective, and what you've learned so far. We give you opportunities to put that potential to work on real business challenges, contribute to projects that matter, and learn alongside experienced professionals invested in your growth.

At Inmar, we believe in:

• Raising the Bar in everything we do
• Seeking Truth Together through collaboration and learning
• Putting our Customer First

Your internship is a chance to explore what you're capable of, build skills through real experience, and begin shaping what comes next.

About This Opportunity

Inmar's Summer Internship Program offers a dynamic experience designed to give students real-world exposure to a professional environment while contributing meaningfully to company initiatives. Interns split their time between a high-impact cross‑functional team project and department‑specific responsibilities assigned by their direct manager.

Our Data, Analytics & AI Internship opportunities give students hands‑on experience using data, technology, and analytical thinking to solve real business problems. Depending on business needs, opportunities may be available across areas such as Data Analytics, Business Intelligence, Data Engineering, Data Science, Analytics Engineering, Machine Learning, AI, Data Platforms, and other data‑focused functions .

As an intern, you may analyze data to uncover trends and opportunities, develop reports or dashboards, improve how information is organized and accessed, build or optimize data pipelines, contribute to predictive or analytical models, or explore how AI and automation can improve products, processes, and decision‑making.

The technical depth of assignments may vary. Some opportunities may focus on business analysis, reporting, visualization, and insights , while others may involve programming, data engineering, statistical modeling, machine learning, or cloud‑based data technologies . Across these opportunities, you'll learn how teams turn data into insights, insights into decisions, and technology into practical solutions.

Please note: These internship opportunities are expected to be based onsite at our Winston‑Salem, NC location and will require in‑person attendance during the summer. This posting is intended to build our candidate pipeline for anticipated Summer 2027 Data, Analytics & AI internship opportunities. Specific internship assignments, responsibilities, team placement, and technology stack will be based on business needs and determined as opportunities are finalized.

What You May Do

• Analyze business, customer, operational, or product data to identify trends, patterns, gaps, and opportunities.
• Help develop reports, dashboards, metrics, and visualizations that make complex information easier to understand and use.
• Translate analytical findings into clear insights and recommendations for technical and nontechnical audiences.
• Gather, organize, clean, validate, and prepare data from multiple sources for analysis, reporting, or product use.
• Support the development, testing, and optimization of data pipelines and data processing workflows .
• Help improve data quality, reliability, documentation, governance, and accessibility .
• Contribute to the design and development of scalable data and analytical solutions using cloud‑based technologies.
• Explore, develop, or support predictive models, machine learning, and advanced analytical solutions .
• Assist with organizing and structuring information to improve how teams access, manage, and use knowledge and data.
• Collaborate with Data, Analytics, Engineering, Product, Business Intelligence, Operations, and other teams to solve business problems.
• Apply AI and emerging technologies to research, analysis, coding, information organization, experimentation, or process improvement while maintaining appropriate review and validation.

What You'll Gain

Hands‑on experience using data and analytics to solve real business challenges .

Exposure to the lifecycle of data - from collection and preparation through analysis, visualization, modelin