CAO - Audit Data Science - Stage curriculare: - Data: 8 set 2025 - Località: Milano - Torino - Brescia, IT - Società: Intesa Sanpaolo S.p.A. Introduction: - 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 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 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 About us: We are the leading banking group in Italy and one of the Top Tier in Europe. Join us and be part of our successful story! With over 20 million customers in Italy and abroad, we are a true engine of sustainable growth, with a strong commitment to the environment and a tangible impact on society. People are our driving force. We take care of them and foster an inclusive culture where everyone feels valued and empowered. - Join an international and innovative Group. _Don't wait for the future, choose it!_ _sharingfuture_ _We guarantee an inclusive and equal environment. We will consider all applicants regardless of race, religion, sexual orientation, gender identity, marital status, national origin, age, disability, or any other protected category in compliance to D.lgs. 198/2006, 215/03 and 216/03._