Job Description:The team applies advanced analytics—including machine learning, quantitative algorithms, and data mining techniques— to obtain business insights and solve problems. We are actively involved throughout the entire lifecycle, from initial design to final implementation. Our stakeholders span all areas of the bank, including business, risk, retail, and corporate banking.Our scope of work includes:Building and maintaining a robust codebase that supports the creation of ML modelsTraining, deploying, and monitoring machine learning models tailored to various business needs.Conducting ad hoc data analysesDeveloping dashboards and tools to enhance data accessibility and support a more data-driven organization.The employee will focus on developing an interactive dashboard for computing the profitability and risk assigned of a finance product.For this purpose, we are looking for students interested in writing their thesis on this topic.Experiences:Practical experience (at least 2+ years) with programming language such as PythonKnowledge of Object-Oriented Programming and Git workflowsExperience with CI/CD pipelines and DevOps practicesSkills:Demonstrated solid data handling skills.Fluent written and spoken EnglishStrong verbal and written communication skillsNice to Have:Personal public projects on GitHub/Azure or similarFamiliarity with machine learning libraries and frameworks (e.g. scikit-learn...)Experience in at least one of the following:Credit Decision ModelsBusiness Models (e.g., Churn, Propensity)Clustering techniquesPersonal Characteristics:Self-driven with the ability to figure out solutions by him or herselfAbility to work collaboratively in a team environment.Must possess an energetic, self-motivated work ethic.Effectively communicate with many levels.Proven to perform under pressure.High ethical standards, honesty, integrity.Location: Milan (hybrid)Compensation: 1500€/month

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Machine Learning Engineer Intern