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Accounting and Financial Admin Intern

  • Canada
  • On-site
  • Posted Sep 26, 2026
  • 1 position

Opens an external site

Employment type
Internship / apprenticeship
Experience level
Entry, Junior · 0+ years
Posting language
English
Working hours
40 hours per week
Seniority
Entry level
Application method
Direct apply is available

Job summary

Manage AI-assisted bookkeeping, predictive analytics, and automated expense tracking using financial data and business operations. Generate AI-enhanced reports, maintain financial records, and assist with administrative tasks.

Job details

Important Notice This internship is unpaid and intended exclusively for students who are: Currently enrolled in a college, university, or professional training program, and Approved by their institution to complete an internship for academic credit or program requirements. Please do not apply if you are not currently a student or do not have formal approval from your school to do an internship. This is a learning-based opportunity designed to support students in completing their academic programs. We cannot accept independent or volunteer applicants at this time. Straight Talk. Real Experience. Seeking a detail-oriented number cruncher who can help keep finances organized. You'll work with real financial data and business operations - not textbook examples. You'll Actually Learn AI-powered financial analysis Automated bookkeeping systems Predictive forecasting tools Smart expense tracking Machine learning for finance Automated reporting systems What You'll Do Manage AI-assisted bookkeeping Use predictive analytics Implement automated tracking Generate AI-enhanced reports Maintain records Help with admin tasks You Should Have Basic prompt engineering skills Understanding of financial AI tools Basic accounting knowledge Attention to detail Organization skills Analytical mindset Perfect For Students In John Abbott College – Applied Accounting and Administration (AEC – LCA.AB) NFSB Continuing Education – Nova Career Centre – Accounting (DEP) Université de Hearst – Bachelor of Business Administration Cégep de Maisonneuve – Business Management Related financial fields What Makes This Different Handle real finances Work with AI financial tools Learn predictive analytics Learn business operations Relevant skills you'll gain: financial management, business operations, accounting practices, forecasting, and financial reporting. Note: This is a unpaid internship.Skills: smart expense tracking,attention to detail,understanding of financial ai tools,attention to detail in data entry,analytical mindset,basic accounting knowledge,basic prompt engineering skills,organization skills,automated reporting systems,machine learning for finance,automated bookkeeping systems,ai-powered financial analysis,predictive forecasting tools

What you’ll do

Manage AI-assisted bookkeeping, predictive analytics, and automated expense tracking using financial data and business operations. Generate AI-enhanced reports, maintain financial records, and assist with administrative tasks.

Requirements

Applicants must be currently enrolled in a college, university, or professional training program and have institutional approval to complete an internship for academic credit or program requirements. The role calls for basic accounting knowledge, familiarity with financial AI tools, basic prompt engineering skills, attention to detail, organization, and an analytical mindset.

Listed skills

  • Organization · Preferred
  • Attention to detail · Preferred
  • Data entry · Preferred
  • prompt engineering · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

  • Smart Expense Tracking
  • Attention to Detail
  • Financial AI Tools
  • Data Entry
  • Analytical Thinking
  • Basic Accounting
  • Prompt Engineering
  • Organization
  • Automated Reporting
  • Machine Learning for Finance
  • Automated Bookkeeping
  • AI-Powered Financial Analysis
  • Predictive Forecasting

Job areas

  • Finance & Accounting
  • Administrative
  • Data & Analytics

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