AI Data Science & Business Analytics Intern

The role

This intern will develop predictive models and analyze Salesforce pipeline data to improve revenue forecasting. You will build data pipelines and translate complex findings into actionable insights for business planning.

What you will do

• Develop and enhance predictive models to improve revenue forecasting accuracy.
• Analyze Salesforce opportunity and pipeline data to find patterns.
• Apply statistical analysis, clustering, regression, and classification to segment opportunities.
• Identify leading indicators, pipeline risks, and emerging trends.
• Build clean, well-modeled datasets and data pipelines from Salesforce data.
• Connect pipeline analytics to software portfolio performance and P&L drivers.
• Translate complex findings into actionable recommendations for stakeholders.
• Explore and prototype ways machine learning, LLMs, and AI agents can strengthen analytics.
• Build scalable, repeatable analytical processes and refine models over time.

Required qualifications

• Must be able to work on-site at Durham, NC headquarters at least one day per week.
• Currently pursuing a bachelor’s or master’s degree in Data Science, Business Analytics, AI, Statistics, Computer Science, Mathematics, Economics, Business Administration, or a related field.
• Strong experience building, validating, and refining predictive models through work, internships, research, or substantial projects.
• Strong understanding of AI/LLMs, including how they work, their limitations, and where they can be applied to analytics.
• Experience working with Salesforce or other CRM data.
• Proficiency in Python or R, including pandas and scikit-learn.
• Strong SQL skills and comfort working with large, messy, real-world datasets.
• Working knowledge of Excel and Microsoft Power Platform tools.
• Experience with data visualization tools such as Power BI or Tableau.
• Excellent business judgment, strong analytical thinking, and attention to detail.
• Curiosity, initiative, and a willingness to experiment with new technologies.

Nice to have

• Pursuing a master’s degree in a quantitative or analytics-focused program.
• Coursework, internship, or project experience in finance, accounting, FP&A, or revenue/sales operations.
• Basic understanding of P&L structure and how revenue drivers affect financial performance.
• Experience with agentic AI, AI agents, and multi-step AI workflows.
• Experience building AI-powered applications, automated workflows, or prototypes.

Before you apply

• Toshiba Global Commerce Solutions will not be providing visa sponsorship for this position now or in the future.
• You must have the ability to work without a need for current or future visa sponsorship.

About the company

Toshiba Global Commerce Solutions, Inc. is a billion-dollar global company based in Research Triangle Park, NC, providing retail store solutions to brands like Walmart, Costco, and Kroger.