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Private Equity Data Science Jobs (NOW HIRING)

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 ...

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 ... Experience in private equity, buyouts, growth equity, investment banking, or corporate strategy.

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Private Equity Data Science information

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$37.5K

$122.7K

$196.5K

How much do private equity data science jobs pay per year?

As of Aug 1, 2026, the average yearly pay for private equity data science in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What are some common challenges faced by professionals in Private Equity Data Science roles?

Professionals in Private Equity Data Science often encounter challenges such as integrating data from various sources, handling incomplete or unstructured data, and communicating complex analyses to non-technical stakeholders. The fast-paced and confidential nature of private equity deals means timelines can be tight and priorities may shift rapidly. Building scalable data solutions and frameworks that can adapt to diverse portfolio companies is also a frequent demand. Despite these challenges, the role offers high visibility within the firm and the opportunity to directly impact investment outcomes.

What are the key skills and qualifications needed to thrive in the Private Equity Data Science position, and why are they important?

To thrive in Private Equity Data Science, you need strong analytical abilities, advanced skills in statistical modeling and machine learning, and a solid grounding in finance or economics, typically supported by a quantitative degree. Expertise with data analytics tools like Python, R, SQL, and data visualization software such as Tableau is often required, and certifications like CFA or data science credentials are advantageous. Effective communication, business acumen, and an ability to translate data insights for investment teams are key soft skills. These qualities enable you to drive data-driven investment decisions and add measurable value to private equity firms.

What is a Private Equity Data Science job?

A Private Equity Data Science job involves using data analytics, machine learning, and statistical modeling to support investment decisions, portfolio management, and risk assessment in private equity firms. Data scientists in this field analyze financial statements, market trends, and alternative data to identify investment opportunities and optimize fund performance. They work closely with investment teams to provide data-driven insights that improve due diligence, deal sourcing, and operational efficiency. The role requires expertise in programming, data engineering, financial modeling, and predictive analytics.

More about Private Equity Data Science jobs
What cities are hiring for Private Equity Data Science jobs? Cities with the most 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 Private Equity Data Science jobs? States with the most job openings for Private Equity Data Science jobs include:
What job categories do people searching Private Equity Data Science jobs look for? The top searched job categories for Private Equity Data Science jobs are:
Private Equity Data Science jobs near you
Infographic showing various 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, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Private Equity Data Operations Analyst

LP Analyst

Dallas, TX • On-site

Full-time

Medical, Dental, Retirement, PTO

Re-posted 27 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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