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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Embedded Data Scientist - **Company:** The Carlyle Group - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $180,000.0 - $200,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Automated Storage and Retrieval Systems, Cloud Computing, Computer Programming, Data Infrastructure, Decision Support Systems, Python (Programming Language), Machine Learning, Unstructured Data, Large Language Models, Information Technology - **Published:** July 1, 2026 - **Apply:** https://carlyle.avature.net/externalcareers/ApplicationMethods?jobId=5493 ## About the Role · 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. ## Description Join our dynamic Investment Data Science Team as an Embedded Data Scientist to partner directly with investment professionals across Primaries, Secondaries, and Co-Investments. 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. Responsibilities 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. Product & Model Development · 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. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Green Cloud Computing](https://www.wearedevelopers.com/videos/592-green-cloud-computing) - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) - [WebAssembly: The Next Frontier of Cloud Computing](https://www.wearedevelopers.com/videos/972-webassembly-the-next-frontier-of-cloud-computing) - [What non-automotive Machine Learning projects can learn from automotive Machine Learning projects](https://www.wearedevelopers.com/videos/397-what-non-automotive-machine-learning-projects-can-learn-from-automotive-machine-learning-projects) ## Related Articles - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Data Analyst Salary in Switzerland](https://www.wearedevelopers.com/magazine/276-data-analyst-salary-in-switzerland) - [Best Companies to work for in London: Top 25 Companies in 2023](https://www.wearedevelopers.com/magazine/187-best-companies-to-work-for-in-london-top-25-companies-in-2023) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)