CAO - Audit Data Science - Stage extra curriculare

Introduction

We are looking for new graduated with a Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, or a related field. Teamworking, problem solving and analytical skills are the characteristics we are looking for in people who want to start a path within our Group. The primary purpose of this role is to support the development of machine learning and artificial intelligence solutions that enhance and streamline internal audit activities across various domains within the banking sector. As a Junior Data Scientist, you will collaborate with experienced professionals to build innovative data-driven solutions that improve decision-making and operational efficiency to strengthen the internal control system of the bank. This is a fantastic opportunity for a recent graduate to start their career in data science and contribute to innovative AI-driven solutions in a banking environment. If you are passionate about data science, machine learning, and AI, and you are eager to learn in a dynamic and supportive environment, we encourage you to apply! 

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

We are looking for someone with:

• Good academic knowledge of Python, with experience or strong coursework in libraries such as pandas, numpy, and scikit-learn. • A good understanding of data analysis and statistics, with academic knowledge in applying machine learning techniques. • Familiarity with data handling and basic visualization tools. • General awareness of AI and machine learning concepts • Interest in working with large datasets and developing basic data models to support business needs. • Problem-solving mindset and a keen interest in learning how to translate business problems into technical solutions. • An understanding of internal audit processes in banking or finance is a plus but not required. • Good communication skills to collaborate with team members and present findings effectively.

No previous professional experience required, but any internships or academic projects involving data science, machine learning, or AI are advantageous.