AI Data Analyst Intern

Job Title: AI Data Analyst Intern

Location: Based in Singapore

Organisation: Scientific Infra & Private Assets (SIPA)

About Scientific Infra & Private Assets (SIPA)

SIPA, founded on research developed at EDHEC Business School, is a provider of market indices, benchmarks and valuation analytics for investors in unlisted infrastructure equity, private debt and private equities. Asset owners, asset managers, consultants and asset valuation professionals use our datasets.

The position

This is an opportunity for a motivated intern with a foundational understanding of accounting, finance, or economics to develop in-depth knowledge of disclosures in infrastructure and private equity fund reports. The role involves working across a high volume of annual reports and supporting model training through structured data labeling.

• Perform financial report annotation/data labeling across document structure, financials, debt and events using a provided playbook
• Apply basic accounting knowledge to interpret financial statements/notes and assign accurate tags/labels
• Flag unclear cases or system issues for review and track progress in Jira
• Apply feedback to improve accuracy and throughput over time

Skills and Qualifications:

This is an opportunity for a candidate with:

Currently pursuing a Diploma or Bachelor's degree in Accounting or a related discipline (final-year polytechnic or early-year university candidates welcome)

Foundational accounting knowledge (e.g., ability to interpret financial statements and notes)

Strong attention to detail and ability to follow structured guidelines consistently across high volumes of documents

Comfortable working with web-based tools, spreadsheets (EXCEL), and ticketing/workflow tools (e.g., Jira)

Able to work well under tight timelines while maintaining accuracy and consistency.

To apply for this offer, please send a CV and a cover letter in pdf format.

Please note: Only shortlisted candidates will be contacted. If you do not hear from us within 21 days, please assume your application has not been successful on this occasion.

To know more about SIPA: https://sipametrics.com/discover-sipa/about-us/