AlpInvest Embedded Data Scientist

The Carlyle Group; New York (NY); On-site; USD 180,000 - 200,000; Full time

Benefits offered by this job

Retirement benefits

Health insurance

Life insurance and disability

Paid time off

Paid holidays

Wellness programs

Annual discretionary incentive program

Job summary

The Carlyle Group in New York seeks an Embedded Data Scientist on the Investment Data Science Team to partner with deal professionals across Primaries, Secondaries, and Co-Investments. You will build analytical frameworks, deploy ML models, and create AI-powered diligence workflows to support investment decisions and portfolio insights.

The role demands both technical depth and strategic thinking, with opportunities to shape GP scoring, One-Day Pricing, and market intelligence initiatives within

Qualifications

• Bachelor's degree or higher in a quantitative discipline required.
• 8+ years of technical experience in Data Science, ML, or related fields.
• Experience building and deploying production-grade analytical products and models.
• Strong Python programming skills and familiarity with data science libraries.
• Experience collaborating with senior stakeholders and solving complex business problems.

Responsibilities

• Partner with investment professionals across Primaries, Secondaries, and Co-Investments to support live opportunities.
• Translate questions into analytical frameworks, models, and actionable insights.
• Conduct quantitative analyses of fund managers, strategies, and market opportunities.
• Present findings to investment teams and senior leadership.
• Develop GP Scoring methodologies and scalable analytical products for investment workflows.
• Design and deploy ML, statistical, and AI-driven solutions to improve decisions.
• Support One-Day Pricing capabilities and market intelligence products.

Skills

Python

Data science

Machine learning

Stakeholder engagement

Education

Bachelor's degree or higher in quantitative discipline

MS/PhD/MBA or equivalent preferred

Job description

Position Summary

Join our dynamic Investment Data Science Team as an Embedded Data Scientist to partner directly with investment professionals across Primaries, Secondaries, and CoInvestments.

This role sits at the intersection of investing, data science, artificial intelligence, and product development. The successful candidate will work alongside deal teams to develop analytical frameworks, generate proprietary investment insights, and build scalable products that enhance investment decision-making.

Unlike traditional data science roles, this position requires the ability to operate as both a technical expert and a strategic thought partner. The ideal candidate can move seamlessly between developing machine learning models and engaging with investment professionals on questions related to manager selection, fund evaluation, portfolio construction, investment pricing, and market intelligence.

This individual will help advance several strategic initiatives, including GP Scoring, OneDay Pricing, AI-powered diligence workflows, portfolio intelligence, and market signal generation.

Primary Responsibilities

Investment Analytics & Decision Support

• Partner directly with investment professionals across Primaries, Secondaries, and Co-Investments to support live investment opportunities.
• Translate investment questions into analytical frameworks, models, and actionable insights.
• Conduct quantitative analyses to evaluate fund managers, investment strategies, portfolio performance, and market opportunities.
• Present findings and recommendations to investment teams and senior leadership.
• Develop and enhance proprietary GP Scoring methodologies used to evaluate private equity managers.
• Build scalable analytical products that integrate into AlpInvest's investment workflows.
• Design and deploy machine learning, statistical, and AI-driven solutions to improve investment decision-making.
• Contribute to the development of One-Day Pricing capabilities for LP interest transactions.
• Support the creation of market intelligence, portfolio monitoring, and company intelligence products.

AI & Data Science Innovation

• Develop and improve predictive models leveraging structured and unstructured investment datasets.
• Apply modern AI techniques, including LLMs, agent-based workflows, and retrieval systems, to investment research and diligence processes.
• Collaborate with engineering and product teams to productionize analytical capabilities.
• Identify opportunities to automate workflows and improve scalability across investment processes.

Stakeholder Engagement

• Build strong relationships with investment professionals and become a trusted advisor across business lines.
• Gather requirements, prioritize opportunities, and translate business needs into technical solutions.
• Communicate complex analytical concepts to both technical and non-technical audiences.
• Help drive adoption of data science products and insights throughout the organization.

Requirements

Education & Certificates

• Bachelor's degree or higher (MS, PhD, MBA, or equivalent), required
• Concentrations in Data Science, Computer Science, Statistics, Mathematics, Economics, Engineering, Finance, or a related quantitative discipline, preferred.

Professional Experience

• 8+ years of overall relevant technical experience, required
• Experience in Data Science, Machine Learning, Quantitative Analytics, Applied AI, or related fields, with a proved track record of success.
• Experience building and deploying production-grade analytical products and models.
• Demonstrated ability to work directly with senior business stakeholders and solve complex business problems.
• Experience operating in highly ambiguous environments and managing multiple priorities simultaneously.
• Strong programming skills in Python and experience with modern data science libraries and frameworks.
• Deep understanding of statistical modeling, machine learning, experimentation, and predictive analytics.
• Experience working with structured and unstructured datasets at scale.
• Familiarity with cloud-based analytics environments and modern data platforms.
• Experience applying generative AI, LLMs, or agent-based systems is strongly preferred.
• Experience within private equity, asset management, investment management, alternative investments, financial services, or investment technology.
• Familiarity with investment performance metrics, portfolio analytics, fund structures, or manager evaluation frameworks.
• Experience developing products that combine quantitative analysis with business decision-making.

Benefits/Compensation

The compensation range for this role is specific to New York and takes into account a wide range of factors including but not limited to the skill sets required/preferred; prior experience and training; licenses and/or certifications.

The anticipated base salary range for this role is $180,000 to $200,000.

In addition to the base salary, the hired professional will enjoy a comprehensive benefits package spanning retirement benefits, health insurance, life insurance and disability, paid time off, paid holidays, family planning benefits and various wellness programs. Additionally, the hired professional may also be eligible to participate in an annual discretionary incentive program, the award of which will be dependent on various factors, including, without limitation, individual and organizational performance.

Due to the high volume of candidates, please be advised that only candidates selected to interview will be contacted by The Carlyle Group.