CAO - Audit Data Science - Stage curriculare

Introduction

The candidate will contribute to the development of artificial intelligence and machine learning solutions to support internal audit activities in the banking sector. Specifically:
- Collaborate with internal teams to build data-driven models for audit controls
- Analyze structured and unstructured datasets
- Develop machine learning algorithms to improve decision-making processes
- Support automation and digitalization of audit activities
- Document and share developed solutions with the team
- Participate in innovative projects applying AI to internal control, both traditional and generative AI

Values

Collaboration is in Intesa Sanpaolo’s DNA. This is why our mission is to share the ideals and intentions that guide us in our work.
We evaluate our success based on how much we can invest to create an economic system in which everyone is able to express their potential.

Requirements

Technical Skills
- Python
- pandas
- numpy
- scikit-learn
- Data analysis
- Statistics
- Machine learning
- Data visualization
- Data handling

- Large Language Models pipelines

- Context Engineering

Preferred Skills
- Knowledge of internal audit processes in the banking sector
- Basic data modeling
- AI applications in finance

Specific Knowledge
- General concepts of AI and machine learning

Qualifications
- Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, or related fields