1

Private Equity Data Science Jobs (NOW HIRING)

Data Scientist - NYC

Newton, MA · On-site +1

$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.

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.

next page

Showing results 1-20

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 Jun 11, 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:
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.
Data Governance Manager - Private Equity

Data Governance Manager - Private Equity

Bain Capital

Boston, MA • On-site

Other

Posted 3 days ago


Job description

BAIN CAPITAL OVERVIEW
With approximately $215 billion of assets under management, Bain Capital is one of the world's leading private investment firms. We create lasting impact for our investors, teams, businesses, and the communities in which we live. Over four decades we have strategically grown our platform to focus on Private Equity, Growth & Venture, Capital Solutions, Credit, and Real Assets. Today, our team includes 1,985+ employees in 24 offices on four continents.
We partner differently to help people and companies embrace possibility and realize potential. Founded as a private partnership in 1984, we have fostered a culture of innovation, entrepreneurialism, and agility, empowering our people to define and own their career trajectories. Today, our partnership approach enables us to pursue strategic growth, build enduring relationships with a robust external network, and collaborate across our integrated platform to connect the deep and diverse expertise that unlocks breakthrough insights.
Our people are the heart of our advantage. Colleagues at all levels have a seat at the table as they tackle business challenges with a principal investor mindset. By asking incisive questions, respectfully challenging one another, and remaining intellectually agile, we work together to achieve exceptional outcomes.
For more information visit: Bain Capital
BAIN CAPITAL PRIVATE EQUITY OVERVIEW
Bain Capital Partners is the private equity affiliate of Bain Capital. Over the past 31 years, The Private Equity Group has made over 280 investments and has 15 active global buyout funds. Our private equity activity primarily includes leveraged buyouts and growth capital invested across a wide variety of sectors. Bain Capital has found that a combination of a strong management team, sound fundamental business analysis, and a focused strategy can substantially improve a company's income as well as its long-term strategic value.
Bain Capital Partners seeks opportunities to invest in market leading companies poised for dynamic change and to back outstanding management teams to implement that change. We believe the most critical ingredients in a company's success are the management team and the alignment of management incentives with those of the investors. Our portfolio companies have significant management-equity ownership as a key part of the investment strategy. Bain Capital professionals are significant investors in each transaction, which achieves an alignment of goals with portfolio company management teams.
The group has developed significant expertise in several business areas including technology, healthcare, retail, telecommunications, and industrial and consumer products. Transaction types include leveraged acquisitions, expansion capital, growth buyouts, turnarounds, consolidation plays, private buyouts, public company recapitalizations, convertible preferred investments, and financial restructurings.
PRIVATE EQUITY DATA GOVERNANCE - MANAGER
The successful candidate will join Bain Capital's Private Equity Data Governance function as a Manager, reporting to the Private Equity Data Governance Lead within the CFO organization. This role is responsible for designing, implementing, and sustaining a comprehensive suite of data governance capabilities, including data quality management, metadata and catalog governance, regulatory and audit-ready data controls, AI-readiness frameworks, and health metrics reporting. Grounded in established industry frameworks and enterprise-aligned standards, these capabilities enable accurate, transparent, and scalable data infrastructure across a large and complex investment platform. This role partners across enterprise-aligned functions including Finance, Analytics, Investment Operations, Investor Relations, Compliance and Information Technology. This is a high-impact role for a practitioner who can operate with technical rigor and strategic depth across a sophisticated, multi-strategy investment platform.
Key responsibilities are to:
• Develop and maintain enterprise-aligned data governance frameworks, including data quality standards, metadata and catalog governance, and regulatory and audit-ready data controls, in alignment with broader organizational governance programs
• Support the definition and governance of data architecture across the private equity platform, partnering with key business stakeholders to implement data strategies across source systems (including deal pipeline, accounting, portfolio monitoring, valuation models) and data lake access layers
• Drive data quality management and issue resolution, building reasonability tests and automated alerts, root-causing data issues, and designing remediation controls and process redesigns to prevent recurrence
• Administer and advance the data catalog and metadata framework, documenting key data terms, processes, and protocols to create transparency, foster appropriate data use, and support data lineage from collection through end-user reporting
• Drive AI-readiness and agentic governance design, identifying opportunities to deploy AI-assisted workflows, automated monitoring, and large language model-enabled data operations to modernize how governance is implemented and maintained at scale
• Enable automated reporting and visualization, ensuring data architecture supports accurate, flexible reporting through tools such as Power BI and approved AI/reporting tools across investor and internal management reporting
• Develop and track data health KPIs and metrics, establishing governance scorecards that measure data quality, process compliance, and reporting accuracy across the private equity platform
• Serve as a cross-functional governance partner to Investment and Trade Operations, Finance, Data Analytics & Reporting, Portfolio Management, Investor Relations, and Information Technology, collaborating across peer data governance programs within the organization
The primary measures of success in this role are:
• Reduction in data friction across the private equity platform, including improvements in data availability, timing, and accessibility for downstream reporting and analytics
• Measurable progress in process automation and the elimination of manual, error-prone workflows across data production and reporting cycles
• Tangible adoption of AI tools and agentic workflows within governance processes, with demonstrated efficiency gains
QUALIFICATIONS
• Strong stakeholder engagement and communication skills, with a demonstrated ability to build credibility and collaborate across functions including Finance, Operations, Investment Management, and Technology
• Strong process discipline, with the ability to design new processes and improve existing ones
• A self-starter with a deadline-driven mindset and the ability to manage competing priorities in a data-intensive, fast-moving investment environment
• A strong understanding of private equity as an asset class is a plus
• Proven experience in a data governance capacity, ideally within asset management or financial services; candidates with a primary background in data governance are strongly preferred over those coming from generalist Finance or Operations roles
• Curiosity and comfort with AI-assisted development, including experimentation with AI coding tools and agentic workflow design; hands-on exploration of these tools, even outside formal work contexts, is a strong plus
• 8+ years of experience in asset management or a closely related field, with meaningful tenure in data governance, data management, or a related discipline
Why Join Us
At Bain Capital, you'll have the opportunity to work with cutting-edge technologies in a collaborative environment that values innovation and excellence. You'll be part of a high-performing team that leverages data to drive strategic decisions and investment insights across global markets.
Compensation:
Expected Annual Base Salary $125,000 - 140,000
Actual base salary will be determined by a wide range of factors including but not limited to role, function, level, experience, qualifications and geographic location. In addition to a competitive base salary, this position may be eligible for a discretionary annual bonus based upon factors such as individual impact, team and firm performance. Bain Capital offers a competitive benefits package designed to support employees' health, financial security, family needs, and overall well-being.
Bain Capital is an equal opportunity employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.