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Internship Private Equity Data Science Jobs (NOW HIRING)

Interplay

Partner, Private Equity

New York, NY · On-site

... and data management. * A person who gets things done, finds a way around walls and pursues ... internship experience. An MBA/CFA is nice to have. * Are savvy with spreadsheets and financial ...

The Hollister Group

Data Scientist - NYC

Boston, MA · On-site

$100 - $200/hr

Our team brings data science and machine learning to the private equity investment process, providing unparalleled access to alternative data sources and proprietary data from portfolio companies.

FM

Analyst-Private Equity

Boston, MA · On-site

$106K/yr

... scientific research capability and engineering expertise are solely dedicated to property risk ... FM Investments Management (FMIM) is seeking an Analyst - Private Equity to support its growing ...

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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 Jul 13, 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 the 80 20 rule in data science?

In data science, the 80/20 rule, also known as Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or data features. For an internship in private equity data science, understanding this principle helps prioritize data analysis and model development by focusing on the most impactful variables or tasks.

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.

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.

How much does a private equity intern make?

A private equity intern typically earns between $20 and $40 per hour, with total summer internships often paying between $3,000 and $7,000 per month. Compensation varies based on the firm, location, and intern experience, and may include additional benefits or stipends for housing and travel.

What is the 80/20 rule in private equity?

In private equity, the 80/20 rule often refers to the Pareto principle, where approximately 80% of the value or results come from 20% of the investments or efforts. For an internship in private equity data science, understanding this concept helps in analyzing which portfolio companies or data points contribute most significantly to overall performance, enabling more targeted analysis and decision-making.

What are the key skills and qualifications needed to thrive as an Internship Private Equity Data Science, 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.

Does private equity use data science?

Private equity firms increasingly use data science to analyze market trends, evaluate investment opportunities, and perform due diligence. Data analytics tools and machine learning models help improve decision-making and optimize portfolio management. Data science skills are valuable for roles involving financial modeling and quantitative analysis within private equity.

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 cities are hiring for Internship Private Equity Data Science jobs? Cities with the most Internship Private Equity Data Science job openings:
What are the most commonly searched types of Private Equity Data Science jobs? The most popular types of Private Equity Data Science jobs are:
What states have the most Internship Private Equity Data Science jobs? States with the most job openings for Internship Private Equity Data Science jobs include:
Internship Private Equity Data Science jobs near you
Private Equity Data Operations Analyst

Private Equity Data Operations Analyst

LP Analyst

Dallas, TX • On-site

Full-time

Medical, Dental, Retirement, PTO

Re-posted 8 days ago

Job description

Company Overview
LP Analyst is a leading independent private asset cloud-based analytics and consulting solutions firm that works closely with many of the industry’s most prominent institutional investors (LPs) and fund managers (GPs) to get better, more actionable decision-making intelligence into the hands of today’s demanding investors.
 
Our firm truly sits at the intersection of private asset analytics and consulting which means we take both a highly quantitative and qualitative approach to tackling big challenges and developing cutting-edge solutions for our clients. For our analyst team, this means not only getting into the details when working with large amounts of private asset data across a wide range of strategies but also an opportunity to synthesize this information, through the firm’s proprietary reporting and analytics platform, for key decision makers at our clients’ investment programs, including private asset class leads and chief investment officers.
If you are a high achiever with a passion for learning about the private asset analytics and consulting landscape while also being part of a strong, motivated and innovative team of forward-thinking professionals, LP Analyst might be the right place for you.
LP Analyst encourages and promotes diversity within its team. Women, minorities, people with disabilities, veterans and members of all underrepresented groups are strongly encouraged to apply.
Job Summary
LP Analyst is expanding its team of Private Equity Data Operations Analysts to support a growing client base. Analysts in this role play a key part in helping LP Analyst’s clients gain transparency into their private markets portfolios by capturing, structuring, and validating investment data across a variety of strategies and sources.
Responsibilities and Duties
  • Interpret and validate data extracted from private equity investment financial statements, including capital account details, cash flows, and fund terms, using internal tools and AI-assisted workflows
  • Prepare and structure investment data for ingestion into internal systems with a focus on accuracy and consistency
  • Develop expertise in the nuances of private equity reporting, which vary across strategies, regions, and managers, through hands-on work and ongoing training
  • Collaborate with other teams to complete client deliverables and research tasks
  • Communicate with investment managers to request documents or clarify data points
  • Build familiarity with private market investment strategies through ongoing exposure to investment reporting and manager communication
  • Contribute to improving internal processes and data standards by identifying recurring issues and proposing solutions
  • Take on more advanced data validation and exception handling responsibilities as experience and subject matter knowledge grow
  • With experience, support client-specific reporting and data requests in coordination with the Client Services team
Qualifications and Skills
  • Bachelor’s degree in business, finance, accounting, economics, math or a related field
  • Strong academic performance with demonstrated analytical thinking
  • 0 - 2 years of prior internship or work experience in finance, investment operations, data analysis or similar roles
  • Strong attention to detail and a commitment to data accuracy
  • Ability to interpret financial statements and structured investment data
  • Comfortable working with technology and tools such as Excel; familiarity with Power BI or SQL is a plus
  • Ability to learn quickly, take ownership of tasks, and meet deadlines while working in a collaborative team environment
  • Strong written and verbal communication skills, with the ability to interact effectively with internal teams and external investment managers
  • Positive attitude, team-oriented mindset, and an interest in private assets, financial data, and analytics
Why LP Analyst?
  • Comprehensive onboarding and training programs, including a structured Private Asset Training Program and regular business/industry teach-ins
  • Early opportunities for advancement for top-performing analysts
  • Opportunity to build valuable professional skills early in your career, including communication, organization, and leadership, by working on a dynamic and growing team with cross-functional exposure
  • Exposure to a wide range of strategies (private equity, venture capital, real estate, infrastructure, credit), with the opportunity to specialize in areas of interest
  • High-impact role providing transparency to the world’s leading institutional investors
  • Collaborative, high-performing team culture with smart, supportive colleagues
  • Company-sponsored 401(k) plan, healthcare, and dental insurance
  • Competitive compensation and fully paid parental leave
  • Generous paid time off that increases with tenure, plus an annual volunteer day
  • Casual dress code, frequent team events, and a downtown Dallas office with paid parking, free snacks, and other perks

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