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Internship Private Equity Data Science Jobs (NOW HIRING)

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Private Equity Analyst Client Name: Tucker's Farm Annual Compensation: $100,000 Company's Website ... Collecting and analyzing company and market data * Conduct market research and support investment ...

... private equity, credit, infrastructure, life sciences, growth equity, secondaries and hedge funds ... We use financial data, alternative datasets, and analytical methods to develop a perspective on our ...

Private Equity Associate

Manhattan, NY · Hybrid

$140K - $185K/yr

Job Summary Private Equity Associate Initio Capital Full-time, Part-time, Contract, Temporary, Internship Hybrid | New York, NY, United States The Opportunity You're the kind of person who is always ...

Support the Private Equity Practice team in the following key areas of our go-to-market ... Data Analysis, Reporting and Strategic Projects * Support internal and external portfolio ...

Ariel Alternatives is a growth-oriented private equity firm focused on acquiring high-quality ... Proficiency in analyzing, interpreting and distilling complex data sets and models to help drive ...

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Data Analysis, Reporting and Strategic Projects * Support internal and external portfolio ... Conduct market research on top Private Equity firms including fund cycle, investment approach ...

Private Equity Analyst

Irvine, CA · On-site

$60K - $100K/yr

... including data room preparation, LPdiligence responses, and ongoing investor reporting ... Analysts gain exposure to the full range of Cima's private equity strategies, including ...

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Internship Private Equity Data Science information

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

As of Sep 15, 2026, the average hourly pay for internship private equity data science in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

What is an internship in private equity data science?

An Internship in Private Equity Data Science is a temporary position where students or recent graduates work with private equity firms to analyze data and support investment decisions. Interns typically use data science techniques, such as statistical analysis, machine learning, and financial modeling, to evaluate potential investments, identify market trends, and optimize portfolio performance. This role provides hands-on experience in both finance and data analytics, helping interns build valuable skills for a career in the industry. Interns often collaborate with investment teams and gain exposure to real-world deal-making and data-driven strategies.

What types of projects do interns typically work on in a private equity data science internship?

As a Private Equity Data Science intern, you can expect to support the investment team by analyzing large datasets to uncover trends and actionable insights that inform deal sourcing, due diligence, and portfolio management. Common projects may include building financial models, developing predictive analytics for company performance, and automating data collection processes. Interns often collaborate closely with both data scientists and investment professionals, offering a unique perspective on how data-driven decisions impact private equity investments. This hands-on experience helps interns develop both technical and business acumen, positioning them well for future roles in finance or analytics.

What are the key skills and qualifications needed to thrive in a private equity data science internship, and why are they important?

To thrive in a Private Equity Data Science internship, you need strong analytical skills, proficiency in statistics, and a background in fields like finance, mathematics, or computer science. Familiarity with programming languages such as Python or R, experience with data visualization tools, and knowledge of financial modeling are typically required. Strong problem-solving abilities, attention to detail, and effective communication set standout candidates apart. These skills are essential for extracting actionable insights from complex datasets, supporting investment decisions, and contributing to the firm's success.

What is the difference between Internship Private Equity Data Science vs Internship Investment Banking?

AspectInternship Private Equity Data ScienceInternship Investment Banking
Required CredentialsRelevant degrees in Data Science, Finance, or related fields; coding skillsFinance, Economics, or Business degrees; strong quantitative skills
Work EnvironmentData analysis, modeling, and programming within private equity firmsFinancial modeling, pitch books, and client presentations in investment banks
Employer & Industry UsagePrivate equity firms, asset management, financial technologyInvestment banks, corporate finance divisions
Common Search & Comparison IntentUnderstanding roles in data-driven private equity internshipsExploring investment banking internship opportunities

Internship Private Equity Data Science focuses on data analysis, modeling, and programming within private equity firms, emphasizing technical skills. In contrast, Internship Investment Banking involves financial modeling, client presentations, and deal structuring. Both roles require strong quantitative backgrounds but differ in daily tasks and industry focus.

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Private Equity Associate

Manhattan, NY • On-site

$150K - $250K/yr

Full-time

Medical, Dental, Vision

Re-posted 8 days ago


Job description

About Bloom Equity Partners
Bloom Equity Partners is a leading Enterprise-focused Software and Services private equity firm headquartered in NYC, currently deploying capital out of Bloom Equity Partners Fund I. We specialize in unlocking growth in lower-middle market enterprise software and business services companies through control investments, further developing already-great businesses into market leaders.
Led by a team of technology-focused investors and industry operators, Bloom injects capital, operational resources, and playbooks into recession-resistant businesses to rapidly unlock transformational growth and deliver superior risk-adjusted returns to our investment partners and management teams.
At Bloom Equity, we are analytically minded, curious by nature, and voracious learners. We welcome people from different backgrounds, experiences, abilities, and perspectives. We are an equal opportunity employer with an inclusive working environment.
About the Role
As an Associate on the Investment Team, you will be a core member of the team, working across all stages of the investment lifecycle-from investment evaluation and due diligence through deal execution and post-acquisition value creation. You will work directly alongside senior investment professionals and portfolio company leadership to evaluate, execute, and manage investments in enterprise software and services businesses.
This is a high-impact, high-autonomy role at a fast-growing firm where you will gain meaningful exposure to every dimension of lower-middle market private equity investing.
Key Responsibilities
Investment Evaluation, Due Diligence & Execution
  • Build and maintain detailed financial models, including LBO analyses and operating models for prospective investments
  • Conduct preliminary screening of potential targets, including market sizing, competitive analysis, and financial assessment to determine strategic fit with Bloom's investment thesis
  • Prepare investment screening memos and present initial findings to the investment team
  • Lead workstreams during due diligence, developing deep understanding of target companies' customers, sales processes, churn dynamics, product positioning, competition, team, and market
  • Coordinate with external advisors-lawyers, accountants, consultants, and industry experts-throughout the transaction process
  • Prepare investment committee memoranda, presentations, and supporting materials
  • Support deal structuring, term sheet development, and negotiation processes

Portfolio Company Support
  • Work with the Board and management teams of portfolio companies post-transaction to improve operational efficiencies, sales and marketing workflows, and financial management
  • Support portfolio company M&A initiatives, including target identification, due diligence, and integration planning to fulfill buy-and-build strategies
  • Monitor portfolio company performance through financial analysis, KPI tracking, and regular reporting

Firm Building
  • Contribute to the development and refinement of Bloom's investment processes, CRM systems, and internal knowledge base

Ideal Candidate
  • At least 2 years of Investment Banking or Accounting experience or 1 year of Private Equity investment experience (Hard requirement, please do not apply if you do not meet this requirement)
  • Ideally have experience in buyouts of B2B enterprise software or tech-enabled services businesses
  • Strong financial modeling and due diligence acumen across multiple transaction types
  • Excellent analytical skills with the ability to synthesize complex data into clear, actionable investment recommendations
  • Ability to perform and prioritize multiple tasks simultaneously with extreme attention to detail
  • Strong project management, organizational, process management, and communication skills
  • Excel in building strong relationships with intermediaries, management teams, and advisors
  • A bachelor's degree from a top university with a strong GPA

What We Provide
  • Total Rewards: Competitive salary + discretionary bonus and full health benefits (Medical/Dental/Vision). Compensation band: $150,000-$250,000 Total Compensation - depending on experience
  • Mentorship, Not Management: Enjoy high autonomy within a lean, collaborative team that prioritizes your professional growth.
  • Direct Impact: Lead meaningful investment workstreams and gain direct exposure to C-suite executives and boards.
  • Accelerated Growth: Fast-track your career with a ground-floor role in a high-growth private equity firm.
  • Vibrant Culture: Centrally located office in Manhattan, fully stocked kitchen, annual retreats, and frequent team social events.