CAO - Audit Data Science - Stage curriculare

Job description

. 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 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 About us: We are the leading banking group...