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python pandas tensorflow scikit-learn numpy📋 Description
- Identify and develop FP&A AI use cases for automation.
- Build and deploy production AI models for finance.
- Measure AI impact; track performance.
- Drive AI adoption within finance; enable dashboards.
- Monitor AI trends for finance; conduct tech watch.
🎯 Requirements
- Master's student in AI/Data engineering (pursuing degree).
- Experience in data science/ML/AI via internships or projects.
- Python with Pandas, NumPy, Scikit-learn; TensorFlow or PyTorch.
- Interest in finance and financial data analysis.
- Curious, autonomous; able to explain concepts to non-tech stakeholders.
- Team player; collaborative and shares best practices.
🎁 Benefits
- Apprenticeship duration: 12-24 months.
- Monthly apprenticeship allowance.
- Personalized onboarding program.
- Modern Paris workspace near the Eiffel Tower.
- Wellbeing perks: breakfast, sports, and yoga, events.
- 50% Navigo transport reimbursement.
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