AI Data Science & Business Analytics Intern

External • Durham, NC

1d • Hybrid

About The Position

The AI Data Science & Business Analytics Intern will support the Solutions Group’s analysis of software portfolio financial performance and P&L drivers. The intern will work with Salesforce pipeline data to develop predictive models that segment and score opportunities, forecast revenue, and identify indicators that explain forecast outcomes. The work will inform business planning and revenue decisions.

The internship is based at Toshiba Global Commerce Solutions’ headquarters in Durham, North Carolina, with on-site work required at least one day per week and two days preferred. The Spring 2027 program is expected to run from January 19 through April 23, 2027. Anticipated hours are 15–30 per week; the final schedule will be determined with the intern’s manager. The company will not provide current or future visa sponsorship.

Requirements

• 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, such as regression, classification, clustering, or time-series forecasting, through work, internships, research, or substantial projects.
• Strong understanding of AI and LLMs, including how they work, their limitations, and applications to analytics.
• Experience working with Salesforce or other CRM data, including opportunities, stages, accounts, and pipeline history.
• Proficiency in Python or R, including common data science libraries such as 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 such as Power Query and Power Automate for data analysis and workflow automation.
• Experience with data visualization tools such as Power BI or Tableau.
• Excellent business judgment, analytical thinking, and attention to detail, with the ability to explain technical results clearly to non-technical audiences.
• Curiosity, initiative, willingness to experiment with new technologies, take ownership of tasks, and learn through hands-on problem-solving.
• Ability to work on-site at the Durham, NC headquarters at least one day per week; two days are preferred.
• Ability to work without current or future visa sponsorship.

Nice To Haves

• 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.

Responsibilities

• Develop and enhance predictive models to improve revenue forecasting accuracy, pipeline visibility, and forward-looking insight into revenue performance.
• Analyze Salesforce opportunity and pipeline data, including deal progression, stage conversion, win rates, deal velocity, and revenue realization.
• Use statistical analysis, clustering, regression, classification, and other techniques to segment opportunities, estimate likelihood and revenue potential, and identify drivers of forecast outcomes.
• Identify leading indicators, pipeline risks, and emerging trends to explain forecast variability and improve revenue projection reliability.
• Explore and document Salesforce data structures, and build clean, well-modeled datasets and data pipelines for repeatable analysis and modeling.
• Connect pipeline analytics to broader revenue expectations, software portfolio performance, and P&L drivers.
• Translate complex analytical findings into clear, actionable recommendations for business planning and decision-making for technical and non-technical stakeholders.
• Explore and prototype applications of machine learning, LLMs, and AI agents, such as extracting signals from opportunity notes and unstructured CRM fields or automating analytical workflows.
• Build scalable and repeatable analytical processes; monitor, backtest, and refine models over time to improve forecast reliability.

What This Job Offers

• Job Type: Part-time
• Career Level: Intern