Overview
Within the Chief Audit Officer Area, you will support the Audit Data Provisioning & Analytics unit in developing advanced analyses and data-driven models, including through the use of artificial intelligence solutions to support internal audit activities, by overseeing the acquisition, manipulation and processing of data. You will contribute to the definition, implementation and monitoring of Key Risk Indicators (KRI), supporting the team in the proactive identification of risks and in the evolution of the Continuous Auditing framework.
What you will be doing
During the internship, you will have the opportunity to work alongside and support the team of the unit in the following activities:
- Develop advanced analyses on structured and unstructured data to support Internal Audit activities, including the identification of anomalies and risk trends
- Contribute to the adoption of innovative data analytics, machine learning and artificial intelligence techniques to improve the effectiveness and efficiency of audit and internal control activities
- Support the development and evolution of Continuous Auditing frameworks, contributing to the definition, implementation and monitoring of Key Risk Indicators (KRI)
- Build analytical models, dashboards and advanced reporting to support audit analyses
- Collaborate with other Audit units to identify automation opportunities and develop continuous testing and data analytics solutions to support control activities
- Acquire, integrate and transform data from heterogeneous corporate sources, assessing its quality, consistency and traceability
- Automate data collection, processing and analysis processes through analytics, data engineering and visualization tools
- Document methodologies, analysis logic, developed models and indicators used, ensuring their maintainability and compliance with internal standards
Who we are looking for
If you have the following profile, we are looking forward to hearing from you:
- Master's degree in Computer Science, Data Science, Statistics, Engineering, Mathematics, Economics with a quantitative focus or related fields
- Basic knowledge of Python or other programming languages
- Familiarity with data analysis libraries such as pandas, numpy or similar tools
- Understanding and knowledge of statistics, data analysis and data visualization concepts
- Introductory knowledge of machine learning concepts and techniques
- Familiarity with managing structured and unstructured data
- Interest in generative artificial intelligence, Large Language Models and prompt engineering
- Familiarity with Microsoft 365, Microsoft Copilot or Copilot Studio tools will be considered an additional plus
- Curiosity or basic exposure to pipelines based on Large Language Models, orchestration of AI components, context engineering, knowledge grounding and basic API/integration concepts
- General knowledge of statistics and data analysis concepts acquired through university courses, academic projects, theses or individual learning paths
- General knowledge of artificial intelligence, machine learning and generative AI concepts, preferably acquired through university courses, academic projects, theses or individual learning paths
- Basic understanding of, or interest in, the lifecycle of AI agents: use case identification, design, testing, monitoring and documentation
Who we are
We are a leader in Italy and one of the main banking groups in Europe. Join us and be part of our success 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 at the center; we take care of them by committing to create an inclusive culture within the Group where everyone feels like a protagonist and is valued.
Join our international reality. The future does not wait, it is chosen!
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We guarantee an inclusive environment and equal opportunities. We will consider all applications regardless of race, religion, sexual orientation, gender identity, marital status, age, disability or any other protected category, in compliance with Legislative Decrees 198/2006, 215/03 and 216/03.
For the evaluation of applications, data will be used by Intesa Sanpaolo S.p.A. as Data Controller. We invite you to review the dedicated Privacy Notice.