Data, Analytics & AI Internships, Summer 2027

Inmar Intelligence helps brands, retailers, and healthcare organizations address complex challenges through data, technology, and innovation. The company is seeking interns for Summer 2027 opportunities in data, analytics, and AI to analyze information, develop reporting and analytical solutions, support data pipelines and models, and apply emerging technologies to business problems.

What you'll 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 they're looking for:

• Currently pursuing a Bachelor's or Master's degree in Data Analytics, Business Analytics, Data Science, Computer Science, Data Engineering, Statistics, Mathematics, Information Systems, Economics, Engineering, Business, or another quantitative or related field
• Strong analytical, critical-thinking, and problem-solving skills with curiosity about what data can reveal
• Comfort working with data and using information to identify patterns, answer questions, or support recommendations
• Strong attention to detail and a willingness to validate, question, and clearly document findings
• Comfort using productivity and analytical tools such as Excel and/or Google Sheets
• Clear written and verbal communication skills, including the ability to explain findings to technical and nontechnical audiences
• Ability to collaborate effectively across teams and work independently when appropriate
• Curiosity about data, analytics, AI, and emerging technologies and how they can be applied to real business problems
• Eagerness to learn new tools and contribute in a fast-paced, collaborative environment
• This position is not eligible for student visa sponsorship, including F-1 OPT or CPT. Candidates must have authorization to work in the U.S. without the need for employer sponsorship now or in the future
• Coursework or project experience in data analytics, business intelligence, data engineering, data science, machine learning, statistics, databases, or big data
• Experience with SQL, Python, R, Java, or other programming or analytical languages

Benefits:

• Expected to be based onsite at the Winston-Salem, NC location, requiring in-person attendance during the summer.
• Hands-on experience using data and analytics to solve real business challenges.
• Opportunities to strengthen skills in data analysis, business intelligence, data visualization, data storytelling, data engineering, statistical analysis, machine learning, and AI, depending on the assignment.
• Mentorship and guidance from experienced data, analytics, and technology professionals.
• Learning and development opportunities designed to support your growth.
• Mentorship, cross-functional networking, and collaboration with fellow interns.
• Experience collaborating with both technical and business teams.
• Opportunity to contribute to real-world projects and build relationships across Inmar.