Job Description
Full job description
Basic information
Job Name:
Investment Data Scientist
Location:
London
Line of Business:
Data Science
Job Function:
Investor Services
Date:
Wednesday, July 9, 2026
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
Competencies & Attributes
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.
Company Information
The Carlyle Group (NASDAQ: CG) is a global investment firm with $453 billion of assets under management and more than half of the AUM managed by women, across 641 investment vehicles as of March 31, 2026. Founded in 1987 in Washington, DC, Carlyle has grown into one of the world's largest and most successful investment firms, with more than 2,300 professionals operating in 29 offices in North America, Europe, the Middle East, Asia and Australia. Carlyle places an emphasis on development, retention and inclusion as supported by our internal processes and seven Employee Resource Groups (ERGs). Carlyle's purpose is to invest wisely and create value on behalf of its investors, which range from public and private pension funds to wealthy individuals and families to sovereign wealth funds, unions and corporations. Carlyle invests across three segments - Global Private Equity, Global Credit and Carlyle AlpInvest - and has expertise in various industries, including: aerospace, defense & government services, consumer & retail, energy, financial services, healthcare, industrial, real estate, technology & business services, telecommunications & media and transportation.
At Carlyle, we believe that a wide spectrum of experiences and viewpoints drives performance and success. Our CEO, Harvey Schwartz, has stated that, "To build better businesses and create value for all of our stakeholders, we are focused on assembling leadership teams with the strongest insights from a range of perspectives." We strive to foster an environment where ideas are openly shared and valued. By bringing together teams with varied expertise and approaches, we enjoy a competitive advantage and create a stronger foundation for long-term success.
Basic information
Job Name:
Investment Data Scientist
Location:
London
Line of Business:
Data Science
Job Function:
Investor Services
Date:
Wednesday, July 9, 2026
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
Competencies & Attributes
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.
Company Information
The Carlyle Group (NASDAQ: CG) is a global investment firm with $453 billion of assets under management and more than half of the AUM managed by women, across 641 investment vehicles as of March 31, 2026. Founded in 1987 in Washington, DC, Carlyle has grown into one of the world's largest and most successful investment firms, with more than 2,300 professionals operating in 29 offices in North America, Europe, the Middle East, Asia and Australia. Carlyle places an emphasis on development, retention and inclusion as supported by our internal processes and seven Employee Resource Groups (ERGs). Carlyle's purpose is to invest wisely and create value on behalf of its investors, which range from public and private pension funds to wealthy individuals and families to sovereign wealth funds, unions and corporations. Carlyle invests across three segments - Global Private Equity, Global Credit and Carlyle AlpInvest - and has expertise in various industries, including: aerospace, defense & government services, consumer & retail, energy, financial services, healthcare, industrial, real estate, technology & business services, telecommunications & media and transportation.
At Carlyle, we believe that a wide spectrum of experiences and viewpoints drives performance and success. Our CEO, Harvey Schwartz, has stated that, "To build better businesses and create value for all of our stakeholders, we are focused on assembling leadership teams with the strongest insights from a range of perspectives." We strive to foster an environment where ideas are openly shared and valued. By bringing together teams with varied expertise and approaches, we enjoy a competitive advantage and create a stronger foundation for long-term success.
💡 Quick Summary
Seeking a career-building opportunity? The Investment Data Scientist position is now open for candidates interested in the Health Jobs sector. This role in London offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Health Jobs is a plus.