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Overview
Within the Chief Audit Officer Area, you will support the Audit Artificial Intelligence, Digital Innovation & Training unit in developing, adopting and putting into production artificial intelligence, generative artificial intelligence and digital innovation solutions to support internal audit activities.
What you will do
During the internship, you will have the opportunity to work alongside and support the team of the unit in the following activities:
- Contribute to the design, development and testing of AI-based solutions and prototypes for audit use cases
- Support the development of AI agents and Copilot-based solutions to automate, assist or enhance audit activities
- Collaborate with internal teams to identify audit processes that could benefit from automation, agentic workflows and generative AI functionalities
- Analyze structured and unstructured datasets to support audit controls, risk analyses and decision-making processes
- Develop machine learning, data analytics and AI engineering components to be integrated into digital audit solutions
- Support ML/AI engineering activities, including integrating models into application flows, preparing technical environments and collaborating on the production deployment of AI solutions
- Contribute to monitoring the metrics of AI solutions in operation, with reference to fairness, performance, accuracy, stability, output quality and adoption/usage indicators
- Support the definition of prompts, knowledge sources, workflows and validation criteria for AI agents
- Document the solutions developed, technical choices, limitations, monitored metrics and operational guidelines
- Take part in innovative projects that apply traditional AI, generative AI and agent-based approaches to transforming internal controls and audit
Who we are looking for
If you have the following characteristics, we are waiting for you:
- Master's degree in Computer Science, Data Science, Engineering, Mathematics, or Economics with a quantitative focus
- 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
- Basic knowledge of AI agent design, agentic workflows and automation concepts
- Familiarity with Microsoft 365, Microsoft Copilot or Copilot Studio tools will be considered an additional plus
- Curiosity about or basic exposure to Large Language Model-based pipelines, orchestration of AI components, context engineering, knowledge grounding and basic API/integration concepts
- 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 AI agent lifecycle: use case identification, design, testing, monitoring and documentation
Applications from candidates with international study experience will be given preferential consideration.
Who we are
We are a leader in Italy and one of the main banking groups in Europe. Join us and become 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 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.