As the demand for AI professionals continues to grow, college students now have an extraordinary opportunity to explore the world of Artificial Intelligence through the PwC Artificial Intelligence Online Internship for College Students. Designed for 2025, this internship is a perfect blend of practical learning and strategic insights that not only boosts your knowledge but also positions you as a competitive candidate in the job market.
About the Program
This internship welcomes students from various disciplines like informatics, mathematics, engineering, theoretical physics, and economics who are innovative thinkers and ready to tackle challenges in the digital world. PwC’s Digital Intelligence team focuses on empowering organizations through digital transformation, fostering trust, and enabling progress.
You’ll embark on a journey to understand how technology-powered enablement, real-time insights, and change management can deliver a strong competitive edge to organizations.
Why Enroll?
- Self-Paced Learning: Complete tasks with the help of pre-recorded videos and guided answers.
- Certificate of Completion: Add the prestigious certification to your resume and LinkedIn profile.
- Hands-On Experience: Gain practical skills in AI, Python modeling, data analytics, and more.
- Stand Out in Applications: Build confidence to tackle interviews and showcase your capabilities.
Program Tasks
1. Introduction to Digital Intelligence
- Learn: Explore the value of data-driven organizations, ethical concerns in AI, and career paths in Digital Intelligence.
- Do: Share your initial thoughts about Digital Intelligence.
2. Responsible AI
- Learn: Understand how AI leads to better decision-making and the significance of ethical AI practices.
- Do:
- Build and analyze a Python classification model.
- Visualize feature importance and provide insights.
3. Quant Finance Modeling
- Learn: Grasp the nuances of valuing fintech loan portfolios using historical data.
- Do:
- Create a valuation document.
- Forecast cash flows and compute present portfolio value.
4. Data Analytics Strategy
- Learn: Understand the strategic importance of data in businesses and develop actionable data strategies.
- Do: Collaborate with peers to craft a PowerPoint proposal for a client’s data strategy.
5. Predictive Healthcare
- Learn: Analyze adverse effects of pain medications using real-world data.
- Do:
- Evaluate 2019 FAERS data to identify adverse effects.
- Compare and recommend further studies based on findings.
6. Predictive and Statistical Modeling
- Learn: Dive into predictive modeling for insurance reserves and risk assessment.
- Do:
- Analyze claims data, fit distributions, and calculate Value at Risk (VaR).
- Develop a presentation to share your findings.
Achievements to Highlight
Upon completion, students will:
- Gain expertise in AI technologies and business applications.
- Build robust data strategies and predictive models.
- Earn a certificate to showcase their AI proficiency.
How to Talk About This Internship in Interviews
- Emphasize your hands-on experience in building AI models and analyzing real-world data.
- Highlight collaborative efforts in creating actionable strategies and technical reports.
- Discuss your understanding of ethical AI practices and their importance in decision-making.
Resume Snippet
Here’s a concise way to incorporate this internship into your resume:
PwC Artificial Intelligence Online Internship (2025)
- Designed Python classification models to analyze feature importance and enhance decision-making.
- Created valuation models for fintech loan portfolios, forecasting cash flows and present value.
- Developed data strategies and predictive models for risk assessment and insurance reserves.
- Analyzed healthcare data to identify adverse effects and recommended further studies.
