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AI Data Science & Business Analytics Intern

Pay
Pay not listedSimilar roles state $95K–$144K
Work setting
Not stated
Employment
Not stated

Before you apply

Work authorization
Must already have the right to workToshiba Global Commerce Solutions will not be providing visa sponsorship for this position now or in the future

What you’ll work on

Full posting
  • Build predictive models to improve revenue forecast accuracy

  • Analyze Salesforce pipeline data for deal progression and win rates

  • Segment opportunities and estimate their likelihood and revenue potential

  • Build clean datasets and data pipelines from Salesforce data

  • Translate findings into recommendations for business planning

From the employer’s posting
Develop and enhance predictive models that improve revenue forecasting accuracy
Analyze Salesforce opportunity and pipeline data to find patterns in deal progression, stage conversion, win rates, deal velocity, and revenue realization.
segment opportunities, estimate their likelihood and revenue potential, and identify the key drivers of forecast outcomes
build clean, well-modeled datasets and data pipelines to support repeatable analysis and modeling
Translate complex findings into clear, actionable recommendations for business planning and decision-making

What you’ll bring

All qualifications

Core experience

  • Strong experience building, validating, and refining predictive models (e.g., regression, classification, clustering, time-series forecasting) 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, 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.
  • Experience with data visualization tools such as Power BI or Tableau.

Preferred experience

  • Experience with agentic AI, AI agents, and multi-step AI workflows.
  • Experience building AI-powered applications, automated workflows, or prototypes.
Qualification wording
Strong experience building, validating, and refining predictive models (e.g., regression, classification, clustering, time-series forecasting) 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, 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.
Experience with data visualization tools such as Power BI or Tableau.
Experience with agentic AI, AI agents, and multi-step AI workflows.
Experience building AI-powered applications, automated workflows, or prototypes.
Education & alternatives
- Must be able to work on-site at our Durham, NC headquarters at least one day per week; two days preferred. - 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 (e.g., regression, classification, clustering, time-series forecasting) through work, internships, research, or substantial projects.
Preferred Qualifications: - 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.

About Toshiba Global Commerce Solutions - External

Toshiba Global Commerce Solutions, Inc., is a dynamic billion-dollar global company based in Research Triangle Park, NC, providing retail store solutions to your favorite brands.

In the employer’s words · Read in context

Posting record

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Actively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 2, 20261 day ago
Recorded sightings
3
Last seen by us
Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$94.7K–$144K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 1,811 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 1

Early. Similar jobs usually come down between day 5 and day 41.

From 10,535 similar postings that came down. Coming down is not always a hire.

Toshiba Global Commerce Solutions - External is hiring

1 open job

Open jobs by the week we first saw them, last 12 weeks.

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • R
  • SQL
  • Excel
  • Power BI
  • Power Query
  • Tableau
  • pandas
  • scikit-learn
Where the posting names them
- 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.
- 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 (e.g., Power Query, Power Automate) to analyze data and automate workflows.
- Strong SQL skills and comfort working with large, messy, real-world datasets. - Working knowledge of Excel and Microsoft Power Platform tools (e.g., Power Query, Power Automate) to analyze data and automate workflows. - Experience with data visualization tools such as Power BI or Tableau.
- Working knowledge of Excel and Microsoft Power Platform tools (e.g., Power Query, Power Automate) to analyze data and automate workflows. - Experience with data visualization tools such as Power BI or Tableau. - Excellent business judgment, strong analytical thinking, and attention to detail, with the ability to explain technical results clearly to non-technical audiences.

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Job description

View original posting ↗

Spring 2027 Internship: This position is located at our HQ in Durham, NC (Research Triangle Park).  Expected program dates are January 19 – April 23, 2027. Anticipated working hours will be 15-30 per week. Final hours and schedule will be determined between the intern and their manager.  

Note: Toshiba Global Commerce Solutions will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship. 

Introduction: 

Our Solutions Group analyzes the financial performance of our software product portfolio and the drivers of our P&L. We’re looking for an analytically strong, business-minded student to make our forecasting more predictive and more robust. You’ll work deeply with Salesforce pipeline data and build models that segment and score opportunities, forecast revenue, and surface the leading indicators behind forecast outcomes. You’ll also turn that work into insights that shape business planning.

What You’ll Work On:

  • Predictive forecasting: Develop and enhance predictive models that improve revenue forecasting accuracy, strengthen pipeline visibility, and give forward-looking insight into revenue performance.
  • Pipeline analytics: Analyze Salesforce opportunity and pipeline data to find patterns in deal progression, stage conversion, win rates, deal velocity, and revenue realization.
  • Modeling and segmentation: Apply statistical analysis, clustering, regression, classification, and other techniques to segment opportunities, estimate their likelihood and revenue potential, and identify the key drivers of forecast outcomes.
  • Risk and leading indicators: Identify leading indicators, pipeline risks, and emerging trends to explain forecast variability and improve the reliability of revenue projections.
  • Data modeling and pipeline building: Explore and document Salesforce data structures, and build clean, well-modeled datasets and data pipelines to support repeatable analysis and modeling.
  • Portfolio and P&L context: Connect pipeline analytics to broader revenue expectations, software portfolio performance, and the drivers of the P&L.
  • Insight to action: Translate complex findings into clear, actionable recommendations for business planning and decision-making for both technical and non-technical stakeholders.
  • Applied ML and AI: Explore and prototype ways machine learning, LLMs, and AI agents can strengthen our analytics, such as extracting signal from opportunity notes and unstructured CRM fields or automating multi-step analytical workflows.
  • Continuous improvement: Build scalable, repeatable analytical processes, and monitor, backtest, and refine models over time to improve forecast reliability.

Required Qualifications:

  • Must be able to work on-site at our Durham, NC headquarters at least one day per week; two days preferred.
  • 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 (e.g., regression, classification, clustering, time-series forecasting) 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, 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 (e.g., Power Query, Power Automate) to analyze data and automate workflows.
  • Experience with data visualization tools such as Power BI or Tableau.
  • Excellent business judgment, strong analytical thinking, and attention to detail, with the ability to explain technical results clearly to non-technical audiences.
  • Curiosity, initiative, and a willingness to experiment with new technologies, take ownership of tasks, and learn through hands-on problem-solving.

Preferred Qualifications:  

  • 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.

About the Company:  

Toshiba Global Commerce Solutions, Inc., is a dynamic billion-dollar global company based in Research Triangle Park, NC, providing retail store solutions to your favorite brands.  Have you ever been in a hurry and made use of the self-checkout at Lowe’s Foods, earned fuel rewards at Kroger, or just paid for purchases at retailers such as Walmart, Michaels, Carrefour, The Gap, Calvin Klein, Boots, Cencosud, BJ’s, or Costco?  These are just a few examples of our in-store solutions and impressive customer base that made us the world's installed market share leader.  

The nature of retail is changing quickly, so if you share our 'Together Commerce' vision of a seamless two-way, participatory shopping experience, let’s get together to drive the new economy.   

EEO:  

Toshiba is an equal opportunity/affirmative action employer that evaluates qualified applicants without regard to age, ancestry, color, religious creed, disability, marital status, medical condition, genetic information, military or veteran status, national origin, race, sex, gender, gender identity, gender expression and sexual orientation or any other protected factor. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. 

Individuals who need a reasonable accommodation because of a disability for any part of the employment process should email benefits@toshibagcs.com to request an accommodation. 

DIVERSITY, EQUITY & INCLUSION:

We at Toshiba Global Commerce Solutions firmly believe that our people are an integral part of the success of our customers. Furthermore, we’re committed to Diversity, Equity, and Inclusion for all our people as highlighted by our 5 Core Principles (Create Outreach, Foster Belonging, Unleash Opportunity, Diverse Cultural Engagement and Culture of Transparency).  We’re passionate about our customers, the retail industry, and becoming a more responsible company as we help create a brighter future.

 

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Location & working pattern

Durham, NC

Required Qualifications: - Must be able to work on-site at our Durham, NC headquarters at least one day per week; two days preferred. - 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.
Work authorization
Spring 2027 Internship: This position is located at our HQ in Durham, NC (Research Triangle Park). Expected program dates are January 19 – April 23, 2027. Anticipated working hours will be 15-30 per week. Final hours and schedule will be determined between the intern and their manager. Note: Toshiba Global Commerce Solutions will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship. Introduction:

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