Investment Data Scientist
Listed on 2026-06-26
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IT/Tech
Data Analyst, Data Scientist, Data Science Manager
Join to apply for the Investment Data Scientist role at The Carlyle Group
Join to apply for the Investment Data Scientist role at The Carlyle Group
This range is provided by The Carlyle Group. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range$/yr - $/yr
Position Summary
Join our dynamic Investment Data Science Team as a Data Scientist and immerse yourself in the heart of the investment process. This unique role fuses technical data science expertise with sharp commercial insight, placing you at the crossroads of investment decision-making and value creation. Collaborate closely with our investment teams and company leaders, leveraging your skills to make a tangible impact in due diligence and growth strategies.
Responsibilities
- Develop scalable diligence analyses for thorough investment due diligence, balancing swift execution with meticulous analysis to assess potential risks and opportunities.
- Own diligence data domain and development of new scalable analyses for diligence insights
- Partner with AI product team to further develop AI diligence platform giving business insight and feedback on usability
- Own execution of company diligences and delivery end to end using AI platform and tools
- Mentor and be a technical manager for individual contributor Investment Data Scientists
- Lead in developing and implementing data-centric strategies and tools, enhancing our investment processes and supporting our deal teams.
- Provide critical support in live due diligence, translating complex data into comprehensive analysis under tight deadlines.
- Engage in sophisticated data analysis, including feature engineering and analytics.
- Cleanse, integrate, and interrogate diverse datasets to unearth unique insights.
- Conduct rigorous hypothesis testing, statistical analysis, and modeling.
- Develop and own short-term roadmap for diligence analysis improvements and new analyses
- Take investment team feedback incorporating it with near-term roadmap to improve diligence outcomes
- Work with upstream partners on data and insight teams to add new features to diligence analyses and ensure data cleansing and availability is sufficient
What you'll do:
- Navigate and analyze complex datasets, extracting key insights to guide investment strategies.
- Collaborate with internal teams and external executives on data-driven growth initiatives.
- Manage third-party resources, integrating external expertise into our internal framework.
- Spearhead the creation of innovative data tools and products to scale our deal support capabilities.
Qualifications
Education & Certificates
- A bachelor's degree or higher in a STEM field, required
- Concentration in Computer Science, Math, Physics or other engineering related field, preferred
- Professional Experience
- At least 6 years of experience in data engineering or a related discipline, with a proven track record of success.
- Experience in commercial consulting, investment banking, or client-oriented roles is advantageous.
- Experience in the financial services or private equity industry, preferred
- Exceptional problem-solving abilities.
- Aptitude for translating data into actionable business strategies.
- Strong verbal and written communication skills, with a flair for public presentation and storytelling.
- Solid understanding of investment, financial valuation, and commercial growth principles.
- Advanced Python and SQL skills for complex data analysis.
- Proficient in machine learning techniques and handling large datasets.
- Skilled in data visualization and statistical modeling.
- Familiarity with AWS cloud computing and Git version control systems.
The compensation range for this role is specific to Denver, CO, 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 $150,000 to $175,000.
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…
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