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Private Equity Data Science Jobs (NOW HIRING)

Boutique Recruiting

Private Equity Analyst

Boston, MA · On-site

$80K - $120K/yr

Company phone and data plan * Free lunch in the office * MBTA monthly pass reimbursement If you are a Private Equity Analyst looking to take the next step in your career, apply now! #LI-RB1

Alan Biller

Private Equity Analyst

Menlo Park, CA · On-site

$175K - $200K/yr

As a member of the Research Team, Private Equity Analysts conduct due diligence and oversight on ... Conduct due diligence including data analysis, manager conference calls, on-site visits, background ...

Alan Biller

Private Equity Analyst

Menlo Park, CA · On-site

Identify new and established Private Equity investment managers with superior skills and ... Conduct due diligence including data analysis, manager conference calls, on-site visits, background ...

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.

Carlyle

Investment Data Scientist

New York, NY · On-site

$190K - $220K/yr

At least 8 years of overall relevant technical experience in Data Science, required * Previous experience with hedge funds, preferred * Experience in the financial services or private equity industry ...

Guru Schools

Data Scientist

New York, NY · On-site

Overview: Job Title: Data Scientist **Exp:10****Client analytics and statistical modelling ... Desirable Skills - (1) Past experience in Private Equity (PE) Investor Relations or understanding ...

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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 Jun 12, 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 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 features. Private equity data scientists often focus on the most impactful variables or data sources to optimize models and decision-making processes efficiently.

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.

How much do private equity data scientists make?

Private equity data scientists typically earn between $100,000 and $150,000 annually, with senior roles reaching over $200,000. Compensation often includes bonuses and stock options, and strong skills in data analysis, machine learning, and financial modeling are highly valued in this field.

Do private equity firms hire data scientists?

Private equity firms increasingly hire data scientists to analyze investment opportunities, optimize portfolio companies, and improve decision-making processes. These roles often require skills in data analysis, machine learning, and financial modeling, with familiarity in tools like Python, R, and SQL. Data scientists in private equity contribute to competitive advantage through data-driven insights.

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.

Is 40 too late for data science?

Private equity data science roles often value relevant skills and experience over age, and many professionals transition into data science later in their careers. Gaining proficiency in programming, statistics, and tools like Python or R can enable individuals of any age to succeed in this field, especially with continuous learning and certifications. Age should not be a barrier if you develop the necessary technical expertise and industry knowledge.

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 June 2026, with employment types broken down into 1% As Needed, 89% Full Time, 9% Part Time, and 1% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Private Equity Analyst

Private Equity Analyst

Boutique Recruiting

Boston, MA • On-site

$80K - $120K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 27 days ago

Job description

Position Title: Private Equity Analyst
The Private Equity Analyst plays a crucial role in supporting investment decisions within a growing European private equity firm. This position offers the opportunity to engage in approximately 8-10 deals annually, providing valuable exposure to financial modeling and investment analysis. Analysts will work closely with a small, dedicated team, contributing to due diligence processes and investment presentations. The role demands strong analytical and communication skills, with a focus on understanding company performance and market trends. A commitment to learning and professional growth is essential, as the firm promotes from within and fosters a collaborative environment.
Salary Range: $80,000 - $120,000 / Year DOE
Private Equity Analyst Responsibilities:
  • Analyze financials and potential investments
  • Support due diligence efforts and create investment presentations
  • Research markets and industries
  • Assist portfolio companies with acquisitions
  • Track performance metrics of investments
  • Participate in meetings to gain insights and knowledge
  • Help prepare reporting and fundraising materials

Private Equity Analyst Requirements:
  • 1-3 years of experience is ideal
  • Strong understanding of financial modeling
  • Bachelor's or Master's in finance, business, economics, or a related field
  • Experience in investment banking or related private equity experience
  • Familiarity with small boutique investment banks focused on mid to lower market companies
  • Proficiency in Word and Outlook
  • Exposure to the SaaS/software sector is preferred

Benefits:
  • Comprehensive medical, dental, and vision insurance options
  • Short-term and long-term disability coverage (company-paid)
  • 401(k) plan with 6% company match
  • 22 PTO days, 5 sick days, and 13 holidays annually
  • $105 monthly wellness benefit
  • Company phone and data plan
  • Free lunch in the office
  • MBTA monthly pass reimbursement

If you are a Private Equity Analyst looking to take the next step in your career, apply now! #LI-RB1
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About Boutique Recruiting

Sourced by ZipRecruiter

We are a team with shared goals; mindfully placing candidates in the workforce to successfully fulfill their career ambitions while encouraging a sense of purpose and value. We have created a new kind of placement firm — one that values connection, personalization, commitment, impact, boldness and achievement. At Boutique Recruiting, our clients, candidates and employees are at the heart of our success.

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

San Diego, CA, US

Year founded

2014

Social media

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