L’offerta in breve
Intesa Sanpaolo: Data Science e Data Analytics - Stage extra curriculare. Lavoro in sede in Italia, a Milano. Livello: junior. Tecnologie indicate: Python.
Responsabilità e requisiti sono riportati nel riepilogo editoriale qui sotto, nella lingua disponibile. Verifica i dettagli nell’annuncio dell’azienda prima di candidarti.
Sul ruolo
As a curricular intern in Intesa Sanpaolo’s Audit Data Provisioning & Analytics team, you’ll support internal audit with advanced analysis of structured and unstructured data. The work includes finding anomalies and risk trends, building analytical models, dashboards and reports, and helping define and monitor Key Risk Indicators within the Continuous Auditing framework.
You’ll also help apply data analytics, machine learning and AI to audit and internal controls. Tasks include integrating and transforming data from different company sources, checking its quality and traceability, automating data workflows, and documenting analytical methods and models. The role is aimed at a student or recent graduate with a relevant master’s degree and introductory experience through coursework, projects or independent learning.
Highlights
- Apply analytics, machine learning and AI to internal audit.
- Support risk indicators and continuous auditing.
- Build models, dashboards and advanced reports.
- Work with Python, pandas or similar tools and varied data sources.
Questo recap è un riassunto editoriale di dataskew, non il testo dell'azienda.