In this strategic consulting challenge, your team will partner with EY's talent acquisition department to revolutionize their candidate selection process for 5 critical open positions.
As consultants, you'll develop an AI-powered talent intelligence solution that transforms how the organization identifies, evaluates, and engages top talent.
Your solution may take various forms:
- A decision support system that identifies optimal candidate-role matches.
- An intelligent recommendation engine surfacing high-potential candidates.
- A strategic interview platform generating personalized assessment questions.
- Or any other innovative AI-driven approach.
Demonstrate how strategic application of AI can:
- Enhance recruitment quality.
- Improve candidate experience.
- Reduce time-to-hire.
- Deliver a competitive advantage in the war for talent.
The dataset consists of:
- 📄 107 candidate CVs (PDF format)
- 🧾 5 job descriptions (PDF format)
- Business Problem Solvers: Address real hiring pain points.
- Insight Providers: Turn raw CVs into actionable intelligence.
- Experience Designers: Enhance recruiter and candidate journeys.
- Sell the Solution: Present it as a valuable strategic asset to the client.
- ✅ A working prototype of your solution.
- ✅ Organized, well-documented, reproducible code (in Google Colab).
- ✅ A strategic presentation pitching your solution to EY executives.
- ✅ (Optional) A live demo of your solution.
- ✅ (Optional) Performance analysis vs. traditional methods.
Submit a zip folder with:
- The Google Colab notebook (with all cells run & outputs shown).
- Screenshots of all external tools/visualizations used.
Submit via email to: eyaichallenge@pt.ey.com
Subject: CV Analyzer Agent – GroupName
Include group member names in the email.
🚨 Mandatory: Solution must be developed in Google Colab using Python.
Beyond that, you can freely choose:
- Libraries:
Pandas,Scikit-learn,LangChain, etc. - Visualization Tools:
Matplotlib,Seaborn, Power BI, Tableau, etc. - AI Assistants:
ChatGPT,GitHub Copilot,Gemini, etc. - Software Platform: Google Colab, VSCode, Jupyter, etc.
- Programming Language: Python (recommended), R, JavaScript, SQL, etc.
Use whatever helps you move faster and think smarter.
- ⏳ You have 4 hours total – no extensions.
- 🗣 Deliver a 5-minute presentation as a consulting pitch.
- 👥 Each group may request:
- 1x Technical support (5 min max)
- 1x Business support (5 min max)
Assistants will not provide solutions, only strategic guidance.
- 👥 Assign roles early – data analyst, business analyst, presenter.
- 🔄 Work in parallel – avoid bottlenecks.
- 🧑🏫 Start preparing the presentation early.
- 🎯 Be realistic – focus on clarity and impact over complexity.
💡 Success is about teamwork, structure, clarity, and strategy, not just code.
-
🎯 Choose your LLM strategically:
- Gemini: fast, limited context.
- LLaMA: more context, slower.
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🧾 Master the Talent Data: Look beyond the obvious – identify potential, culture fit, growth signals.
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🛤 Define a clear AI Role: Will it automate, augment, or assist hiring?
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👥 Design for All Stakeholders: Recruiters, hiring managers, and candidates.
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📊 Show Measurable Impact:
- Reduced time-to-hire
- Improved candidate quality
- Cost savings
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🚀 Think beyond tools – reinvent the hiring process itself.
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📈 Build a Business Case: Position your solution as a strategic advantage.
This challenge is your opportunity to redefine how organizations attract and hire talent.
🏆 Winning teams will blend:
- Technical AI expertise
- Strategic business insight
- Clear communication
- End-to-end stakeholder thinking
Deliver a solution that’s not just smart – make it transformational.