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Internship Private Equity Data Science Jobs (NOW HIRING)

Cresset Capital

ASSOCIATE, PRIVATE EQUITY

Denver, CO · On-site

... through internships or full-time positions with a preference for experience at a foundation ... Analytical problem-solving and data analysis skills with high attention to detail * Intellectual ...

Cresset Capital

ASSOCIATE, PRIVATE EQUITY

Denver, CO · On-site

$85K - $115K/yr

... through internships or full-time positions with a preference for experience at a foundation ... Analytical problem-solving and data analysis skills with high attention to detail * Intellectual ...

PER

... internships in investment banking, consulting, private equity or accounting Fluent speaker of German and English with exceptional interpersonal skills #J-18808-Ljbffr

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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 16, 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 Client Service Analyst

Private Equity Client Service Analyst

LP Analyst

Dallas, TX • On-site

Full-time

Medical, Dental, Retirement, PTO

Posted 11 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 seeking motivated and detail-oriented individuals to join our Client Services team. As a Client Service Analyst, you’ll play a key role in delivering high-quality private markets reporting and analytics to institutional investors. This role provides a unique opportunity to develop domain expertise in private assets, strengthen communication and project management skills, and grow into a client-facing role within the firm.
Responsibilities and Duties
  • Gain hands-on exposure to private equity investment data by supporting early-stage data structuring and validation, in collaboration with the Data Operations team
  • Build expertise in client deliverables by using internal tools and workflows to review and organize private asset data including financial statements, capital account and cash flows
  • Develop expertise in the nuances of private equity reporting, which vary across strategies, regions, and investment managers, through hands-on work and ongoing training
  • Assist in preparing and delivering reporting and analytics packages for institutional clients
  • Coordinate across internal teams to ensure high-quality, on-time client outputs
  • Review investment and portfolio data for completeness, consistency, and presentation quality
  • Contribute to ad hoc analysis, client dashboards, and materials for client meetings
  • Grow into a client-facing role by helping to answer questions, clarify data, and support recurring reporting cycles
 
Qualifications and Skills
  • Bachelor’s degree in Business, Finance, Accounting, Economics, Mathematics, or a related field
  • Strong academic foundation with a demonstrated interest in private equity or institutional investing
  • 0–2 years of internship or professional experience in finance, investment operations, data analysis, or similar fields
  • Excellent organizational skills and strong attention to detail
  • Ability to manage multiple tasks and deadlines in a dynamic, fast-paced environment
  • Ability to interpret financial statements and structured investment data
  • Comfortable using Excel and other technology tools; familiarity with Power BI or SQL is a plus
  • Quick learner with a proactive mindset and the ability to take ownership of tasks while contributing to a collaborative team
  • Strong written and verbal communication skills
  • Positive attitude, team-oriented mindset, and eagerness to grow into a client-facing role with increasing responsibility
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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