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How much do entry level private equity data science jobs pay per hour?

As of Jul 21, 2026, the average hourly pay for entry level private equity data science in the United States is $19.05, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $21.39 per hour, depending on experience, location, and employer.
What are the most commonly searched types of Private Equity Data Science jobs? The most popular types of Private Equity Data Science jobs are:
Entry Level Private Equity Data Science jobs near you
Infographic showing various Entry Level Private Equity Data Science job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $39,629 per year, or $19.1 per hour.

Private Equity Research Analyst

Initio Capital

New York, NY • Remote

Full-time

Posted 9 days ago

Job description

ABOUT INITIO CAPITAL

Initio Capital is hiring for this role and related opportunities across consulting, finance, product, software, AI, operations, market research, and growth-focused workstreams.

THE ROLE

As a Private Equity Research Analyst, you will help identify promising markets, companies, products, operators, and investment or growth opportunities. You will turn ambiguous information into clear research, structured analysis, prioritized target lists, and practical recommendations.

This is a remote, flexible role for candidates who are analytical, commercially curious, and comfortable moving quickly across business, finance, technology, and strategy topics.

WHAT YOU MAY WORK ON
  • Research companies, markets, business models, and investment themes.
  • Build target lists, market maps, competitive scans, and opportunity pipelines.
  • Analyze data, documents, websites, interviews, and public information to form concise recommendations.
  • Support strategy, sourcing, diligence, product, growth, finance, and operations projects.
WHO THIS IS FOR

This is a strong fit for candidates interested in consulting, finance, investment research, product strategy, software, AI/data, business operations, corporate development, private markets, or entrepreneurship.

COMPENSATION

Compensation varies by project and experience. Many roles are flexible, remote, and project-based.