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- Tasks: Dive into data analysis and support investment decisions with your technical skills.
- Company: Join The Carlyle Group, a leading global investment firm with a diverse portfolio.
- Benefits: Enjoy a collaborative culture, professional growth opportunities, and a focus on inclusion.
- Why this job: Make a real impact in investment strategies while working with top professionals in the field.
- Qualifications: Bachelor's degree in STEM and 6+ years of relevant experience required.
- Other info: Work in a dynamic environment that values diverse perspectives and innovative ideas.
The predicted salary is between 36000 - 60000 ÂŁ per year.
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
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.
Primary 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.
Requirements
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.
Company Profile
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, 2025. 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.
Seniority level
-
Seniority level
Not Applicable
Employment type
-
Employment type
Full-time
Job function
-
Job function
Other
-
Industries
Venture Capital and Private Equity Principals
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Investment Data Scientist employer: The Carlyle Group
Contact Detail:
The Carlyle Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Investment Data Scientist
✨Tip Number 1
Familiarise yourself with the investment landscape and the specific sectors Carlyle operates in. Understanding their focus areas, such as private equity and credit, will help you tailor your discussions and demonstrate your knowledge during interviews.
✨Tip Number 2
Network with current or former employees of The Carlyle Group. Engaging with them can provide valuable insights into the company culture and expectations for the Investment Data Scientist role, which can be a great advantage in your application process.
✨Tip Number 3
Brush up on your Python and SQL skills, focusing on complex data analysis and machine learning techniques. Being able to discuss specific projects where you've applied these skills will set you apart from other candidates.
✨Tip Number 4
Prepare to showcase your problem-solving abilities through real-world examples. Think of scenarios where you've translated data into actionable business strategies, as this aligns closely with the responsibilities of the role.
We think you need these skills to ace Investment Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, investment analysis, and any specific skills mentioned in the job description, such as Python, SQL, and machine learning techniques.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data science and investment. Mention how your background aligns with the responsibilities of the role and provide examples of past successes that demonstrate your problem-solving abilities.
Showcase Technical Skills: Clearly outline your technical skills in your application. Include specific projects or experiences where you used advanced data analysis, statistical modelling, or data visualisation to drive business decisions.
Highlight Collaboration Experience: Since the role involves working closely with investment teams, emphasise any previous collaborative projects. Discuss how you contributed to team success and how you can bring that experience to The Carlyle Group.
How to prepare for a job interview at The Carlyle Group
✨Showcase Your Technical Skills
As an Investment Data Scientist, you'll need to demonstrate your advanced Python and SQL skills. Be prepared to discuss specific projects where you've used these tools for complex data analysis, and consider bringing examples of your work to showcase your capabilities.
✨Understand the Investment Landscape
Familiarise yourself with the financial services and private equity industries. During the interview, be ready to discuss how your data insights can influence investment strategies and decision-making processes, showing that you understand the commercial implications of your work.
✨Prepare for Problem-Solving Scenarios
Expect to face questions that assess your problem-solving abilities. Practice articulating your thought process when tackling complex datasets or conducting statistical analyses, as this will highlight your analytical skills and ability to translate data into actionable strategies.
✨Communicate Clearly and Confidently
Strong verbal and written communication skills are essential for this role. Practice explaining technical concepts in a clear and engaging manner, as you'll need to convey complex data insights to both technical and non-technical stakeholders effectively.
