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Private Equity Data Science Jobs (NOW HIRING)

Private Equity Associate

New York, NY ยท Hybrid

$140K - $185K/yr

Private Equity Associate (Entry-Level) - Career Launch AI Talent Network Location: San Francisco ... Present data-backed opinions on risks, opportunities, and value-creation levers. Portfolio Company ...

Private Equity Associate

Chicago, IL ยท Hybrid

$140K - $185K/yr

Private Equity Associate (Entry-Level) - Career Launch AI Talent Network Location: San Francisco ... Present data-backed opinions on risks, opportunities, and value-creation levers. Portfolio Company ...

Private Equity Associate

San Francisco, CA ยท Hybrid

$140K - $185K/yr

Private Equity Associate (Entry-Level) - Career Launch AI Talent Network Location: San Francisco ... Present data-backed opinions on risks, opportunities, and value-creation levers. Portfolio Company ...

Private Equity Associate

Miami, FL ยท Hybrid

$140K - $185K/yr

Private Equity Associate (Entry-Level) - Career Launch AI Talent Network Location: San Francisco ... Present data-backed opinions on risks, opportunities, and value-creation levers. Portfolio Company ...

Private Equity Associate

San Francisco, CA ยท Hybrid

$140K - $185K/yr

Private Equity Associate (Entry-Level) - Career Launch AI Talent Network Location: San Francisco ... Present data-backed opinions on risks, opportunities, and value-creation levers. Portfolio Company ...

Private Equity Associate

Manhattan, NY ยท Hybrid

$140K - $185K/yr

Private Equity Associate (Entry-Level) - Career Launch AI Talent Network Location: New York City, N ... Present data-backed opinions on risks, opportunities, and value-creation levers. Portfolio Company ...

Senior Private Equity Analyst

Menlo Park, CA ยท On-site

$160K - $185K/yr

Conduct due diligence including data analysis, manager conference calls, on-site visits, background ... Familiarity with top tier private equity and private debt managers. Manage ongoing relationships ...

Private Equity Associate

Los Angeles, CA ยท Hybrid

$140K - $185K/yr

Private Equity Associate (Entry-Level) - Career Launch AI Talent Network Location: San Francisco ... Present data-backed opinions on risks, opportunities, and value-creation levers. Portfolio Company ...

Private Equity Associate

New York, NY ยท Hybrid

$140K - $185K/yr

Private Equity Associate (Entry-Level) - Career Launch AI Talent Network Location: San Francisco ... Present data-backed opinions on risks, opportunities, and value-creation levers. Portfolio Company ...

Private Equity Associate

Manhattan, NY ยท Hybrid

$140K - $185K/yr

Private Equity Associate (Entry-Level) - Career Launch AI Talent Network Location: San Francisco ... Present data-backed opinions on risks, opportunities, and value-creation levers. Portfolio Company ...

Private Equity Associate Department: Investment Team Reports To: Managing Director Employment ... Strong analytical skills with the ability to synthesize complex, raw data into clean and actionable ...

Showing results 41-60

Private Equity Data Science information

See salary details

$37.5K

$122.7K

$196.5K

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

As of Sep 13, 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 a private equity data science?

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.

What are the key skills and qualifications needed to thrive in private equity data science?

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 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.

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Infographic showing various Private Equity Data Science job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 12% Part Time, and 2% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

2027 Data Science Summer Analyst

Manhattan, NY โ€ข On-site

$110K/yr

Other

Posted 18 days ago


Job description

Blackstone is the world's largest alternative asset manager. Blackstone seeks to deliver compelling returns for institutional and individual investors by strengthening the companies in which the firm invests. Blackstone's over $1.3 trillion in assets under management include global investment strategies focused on real estate, private equity, credit, infrastructure, life sciences, growth equity, secondaries and hedge funds. Further information is available at www.blackstone.com. Follow @blackstone on LinkedIn, X (Twitter), and Instagram.

Summer AnalystBlackstone Data ScienceOverview

Blackstone Data Science ("BXDS") is the firm-wide team that uses AI and statistical methods to make us better investors and business operators, the first such team in private equity. Integrated into our investing groups, we focus on answering mission-critical investment and business questions using data science, statistics, programming, and machine learning techniques. We use financial data, alternative datasets, and analytical methods to develop a perspective on our investments and accelerate growth at our portfolio companies, as well as help source new investment and partnership opportunities. BXDS works hand-in-hand with Blackstone's deal teams and portfolio company management teams to underwrite investments, drive operating efficiencies, and identify new sources of value. We build scalable tools and technology that are integral to how we underwrite new deals and manage the portfolio, sitting at the intersection of quantitative and qualitative investment analysis with an explicit focus on projects that "move the needle." You will have the opportunity to work directly with senior management at Blackstone as well as top executives from our portfolio companies. If you're seeking stimulating quantitative work with clear, tangible business impact, BXDS may be a good fit for you.

Program Description

Blackstone's Summer Analyst Program is a 10-week in-person experience, offering participants extensive exposure across the firm. This program provides Summer Analysts with valuable guidance through mentorship, continuous feedback, technical and soft skill training, networking opportunities with professionals across the firm, and the unique chance to fully immerse themselves in Blackstone's culture.

Job Description

Blackstone is looking to hire a passionate undergraduate to join BXDS as a Summer Analyst. This individual will play a key role in accelerating a data-driven evolution within Blackstone by using data science techniques to evaluate live private equity and real estate deals, work with our portfolio company management teams to drive business value, and curate novel insights using broad-ranging datasets. This individual needs to be dedicated to the application of quantitative methods to drive investment analysis and business impact, and intellectually curious about solving real-world questions using data. This individual will be responsible for generating novel approaches to critical investment processes and driving innovation in private equity. Successful candidates must be creative, strategic, highly motivated, and highly detail-oriented. They also must be effective communicators of technical outcomes to non-technical stakeholders, and create business-friendly outputs and visualizations.

Eligibility Criteria
  • Currently enrolled in an undergraduate program or pursuing a master's degree immediately following undergraduate studies
  • Anticipated graduation date: Fall 2027 - Spring 2028
  • Resume must include expected graduation month/year and GPA
  • Resume must be in PDF format
  • Application submitted by 9/20/2026
Qualifications
  • Proficiency in programming and querying languages (Python required, SQL preferred)
  • Foundation in statistics and mathematics
  • Comfortable working with and combining disparate and varied data sources
  • Strong skills using analytical methodologies and desire to solve novel technical challenges
  • Experience balancing multiple projects and efficiently meeting goals in a fast-paced environment
  • Strong written and verbal communication skills
  • Excellent commercial-mindedness and understanding of what matters in a business / investment context
  • Independently drives key workstreams forward and collaborates effectively with internal and external stakeholders
  • Experience developing AI and generative AI applications preferred
  • Experience in a data-driven professional setting preferred
  • No previous experience in the financial services industry is required
Salary and Compensation

Expected annual base salary range: $110,000 - $110,000. Actual base salary within that range will be determined by several components including but not limited to the individual's experience, skills, qualifications and job location. For roles located outside of the US, please disregard the posted salary bands as these roles will follow a separate compensation process based on local market comparables. Additional compensation: Base salary does not include other forms of compensation or benefits offered in connection with the advertised role.

Equal Employment Opportunity

Blackstone is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, creed, religion, sex, pregnancy, national origin, ancestry, citizenship status, age, marital or partnership status, sexual orientation, gender identity or expression, disability, genetic predisposition, veteran or military status, status as a victim of domestic violence, a sex offense or stalking, or any other class or status in accordance with applicable federal, state and local laws. This policy applies to all terms and conditions of employment, including but not limited to hiring, placement, promotion, termination, transfer, leave of absence, compensation, and training. All Blackstone employees, including but not limited to recruiting personnel and hiring managers, are required to abide by this policy.

Reasonable Accommodations

If you need a reasonable accommodation to complete your application, please contact Human Resources at 212-583-5000 (US), +44 (0)20 7451 4000 (EMEA) or +852 3656 8600 (APAC).

Securities Licenses

Depending on the position, you may be required to obtain certain securities licenses if you are in a client facing role and/or if you are engaged in the following: Attending client meetings where you are discussing Blackstone products and/or client questions; Marketing Blackstone funds to new or existing clients; Supervising or training securities licensed employees; Structuring or creating Blackstone funds/products; and Advising on marketing plans prepared by a sales team or developing and/or contributing information for marketing materials. Note: The above list is not the exhaustive list of activities requiring securities licenses and there may be roles that require review on a case-by-case basis. Please speak with your Blackstone Recruiting contact with any questions.

Health and Insurance Benefits

You will not be eligible to participate in Blackstone's health and other insurance benefit programs.

AI Resume Screening

Please note that we use an AI resume screening tool to help with the initial review of applications. The tool helps us assess candidates based on skills, experience, and qualifications. The tool's scores are one of the factors we consider when deciding who moves to the next stage of the application process.

Company Culture

At Blackstone, we look to attract and retain the brightest minds in the business, hiring professionals across a wide range of disciplines. Our employees are integral to the firm's identity, contributing to a culture of integrity, professionalism and excellence. It is their dedication and passion for their work that has helped Blackstone become a trusted partner for some of the largest institutional investors in the world. We encourage independent thinking and reward initiative, while providing services to help employees grow professionally. Our global business platform and brand reputation provide an unparalleled launch pad for growing your career.

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