Machine Learning Engineer Intern

Stack

Responsibilities

• ▹Develop an interactive dashboard for computing the profitability and assigned risk of a finance product
• ▹Build and maintain a robust codebase that supports the creation of ML models
• ▹Train, deploy and monitor machine learning models tailored to various business needs
• ▹Conduct ad hoc data analyses
• ▹Develop dashboards and tools to enhance data accessibility and support a more data-driven organization

Requirements

• ▹Practical experience (at least 2+ years) with a programming language such as Python
• ▹Knowledge of Object-Oriented Programming and Git workflows
• ▹Experience with CI/CD pipelines and DevOps practices
• ▹Demonstrated solid data handling skills
• ▹Fluent written and spoken English
• ▹Strong verbal and written communication skills
• ▹Student interested in writing a thesis on the topic

Nice to have

• ▹Personal public projects on GitHub/Azure or similar
• ▹Familiarity with machine learning libraries and frameworks (e.g. scikit-learn)
• ▹Experience in at least one of: credit decision models, business models (e.g. churn, propensity), clustering techniques

Soft skills

What we offer

• ▹Compensation of 1,500 EUR per month
• ▹Hybrid work in Milan

About the company

The team applies advanced analytics, including machine learning, quantitative algorithms and data mining, to obtain business insights and solve problems. Its stakeholders span all areas of the bank: business, risk, retail and corporate banking.