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Private Equity Data Science Jobs (NOW HIRING)

... 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.

Partner - Private Equity

Manhattan, NY · On-site

$150 - $250/hr

... 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.

The team partners with clients to design customized solutions spanning investment management, advisory, and research & data. As of May 31, 2026, Aksia's Private Equity team oversaw $116 billion in ...

The team partners with clients to design customized solutions spanning investment management, advisory, and research & data. As of May 31, 2026, Aksia's Private Equity team oversaw $116 billion in ...

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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 21, 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 August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Data Analyst, Associate - Private Equity Technology

Blackstone

New York, NY • On-site

$135K - $170K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 11 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.
As a Data Analyst within the Real Estate and Private Equity technology team at BXTI, you will be instrumental in developing analytical tools that support our alternative asset management operations. You will be expected to solve real business challenges by bridging strategy and technology execution - owning complex initiatives from inception to delivery. You are equal parts problem solver and operator with an instinct for identifying what matters, a bias for action, and the resilience to see things through. You will also play a key role in advancing the firm's data platform, driving Blackstone's transformation through cutting-edge technology solutions. Collaborating with a cross-functional team of technologists and product managers, you will ensure the delivery of high-quality solutions that add significant business value. Your responsibilities will encompass creating solutions for recurring deal diligence and automations to streamline the review and analysis of the current portfolio.
Responsibilities:
  • Lead intake and refinement of technology and data asks related to deal tracking, portfolio monitoring, and other workflows. Proactively identify opportunities for better tooling, automation, or data flows that increase adoption and reduce manual work.
  • Conduct business analysis and stakeholder sessions with various teams across the firm, focusing on our Private Equity business to drive efficient modeling, asset and portfolio management, and other workflows. This will also involve coordinating with a broader technology organization comprising product owners, application developers, and UX designers.
  • Partner with global and regional teams to document best practices and processes. Champion sustainable ways of working-across intake, prioritization, delivery, and documentation.
  • Develop and maintain analytical software solutions using Python and SQL, ensuring code quality, scalability, reliability, and security.
  • Manage the end-to-end lifecycle of data used in AI and analytics workflows, ensuring appropriate access controls, licensing compliance, and alignment with legal, security, and business requirements prior to release.
  • Promote and cultivate a culture of data analytics, science, and AI within the firm, including leading talks and training sessions for both technology and business teams.
  • Collaborate with platform and engineering teams on deployment workflows; familiarity with version control (Git), CI/CD concepts, and cloud deployment technologies is a plus.

Qualifications:
  • 3 years in a data analysis or data science role, with fluency in Python and SQL for interacting with data and data warehouses.
  • Experience working within a technology team for a financial firm, with a preference for alternative asset management and real estate.
  • Advanced analytical skills, including statistical analysis and data modeling techniques.
  • Experience with data governance, data quality, and data integration best practices.
  • Skilled in using Business Intelligence tools such as Sigma and Tableau.
  • Strong communication skills, both verbal and written, including demonstrated effectiveness in communicating and relating to both business and technical coworkers, and authoring documentation appropriate for the user community, development teams, and upper management.
  • Skilled at clearly defining project scope and managing and communicating scope changes.
  • Adept at managing multiple priorities and raising issues in a timely and productive fashion.
  • Bachelor's or Masters degree in Computer Science, Engineering, Finance, Economics, or other related field.

Preferred Skills:
  • Proficiency in software development lifecycle tools, such as version control, CI/CD tools, and cloud deployment technologies.

The duties and responsibilities described here are not exhaustive and additional assignments, duties, or responsibilities may be required of this position. Assignments, duties, and responsibilities may be changed at any time, with or without notice, by Blackstone in its sole discretion.
Expected annual base salary range:
$135,000 - $170,000
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 and benefits offered in connection with the role consist of comprehensive health benefits, including but not limited to medical, dental, vision, and FSA benefits; paid time off; life insurance; 401(k) plan; and discretionary bonuses. Certain employees may also be eligible for equity and other incentive compensation at Blackstone's sole discretion.
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.
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).
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 and 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.
To submit your application please complete the form below. Fields marked with a red asterisk * must be completed to be considered for employment (although some can be answered "prefer not to say"). Failure to provide this information may compromise the follow-up of your application. When you have finished click Submit at the bottom of this form.