Intern, Growth Acceleration

About General Atlantic

General Atlantic is a leading global investor with more than four and a half decades of experience providing capital and strategic support for over 830 companies throughout its history. Established in 1980, General Atlantic continues to be a dedicated partner to visionary founders and investors seeking to build dynamic businesses and create long-term value. The firm leverages its patient capital, operational expertise, and global platform to support a diversified investment platform spanning Growth Equity, Credit, Climate, and Sustainable Infrastructure (Actis) strategies. General Atlantic manages approximately $103 billion in assets under management, inclusive of all strategies, as of December 31, 2024, with more than 900 professionals in 20 countries across five regions. For more information on General Atlantic, please visit: www.generalatlantic.com

Position Description

General Atlantic’s Growth Acceleration team is one of GA’s key Value Creation pillars, together with Capital Markets and Human Capital. The team is the firm’s in-house consultancy focused on supporting investors across the investment lifecycle, including due diligence and portfolio value creation, with an emphasis on driving top-line growth. The team integrates several core firm capabilities, including market research, data science, digital marketing, and pricing optimization.

The Data Science Intern will join a global team of experienced data scientists and will be responsible for delivering a diverse range of analytical tasks. They must have a strong ability to draw actionable recommendations from data, build advanced ML models and communicate impactfully.

Responsibilities

• Leverage Python, PySpark and other data science tools to implement analytics that will support actual investment decisions and drive value creation initiatives
• Turn diverse data sources into actionable insights and effectively communicate findings with compelling visualizations for better, faster business decisions
• Create recurring reports & dashboards to support the entire investment process, from sourcing to due-diligence to portfolio projects

Qualifications

• Currently pursuing a college/master’s degree in a STEM subject with strong quantitative focus
• Have Python expertise (a must) and experience with Tableau/PowerBI a plus
• Have a keen interest in emerging AI technologies, particularly large language models
• Have strong attention to detail, given engagement with key internal and external stakeholders
• Are positive, proactive, creative, and energized about contributing in a fast-paced and often changing environment
• Are fundamentally an intellectually curious, resourceful, and team-driven person
• Ability to juggle a high‐volume workload and competing priorities
• Have strong written communication: Clear communicator competent at explaining technical content to a nontechnical audience, and distilling key messages from analysis in verbal, memo & PowerPoint format
• Quantitative abilities: Comfortable implementing both complex ensembles of models and devising “quick & dirty” estimates. The candidate should demonstrate strong enthusiasm for solving business problems in new ways
• Are results oriented: can thrive under ambiguity and time constraints to develop thoughtful, executive-level content

GA Value

• Competitive compensation
• Professional development opportunities and ongoing training
• Collaborative and inclusive work culture with opportunities for advancement

General Atlantic is an equal opportunity employer and does not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical​​​ condition, pregnancy, genetic information, gender, sexual orientation, gender identity or ​expression, veteran status, or any other status protected under federal, state, or local law.

By completing this application, you are consenting to General Atlantic’s processing and use of your personal data. Information on how General Atlantic will use and process your data can be found here: https://www.generalatlantic.com/privacy-notice/