Machine Learning Engineer Intern

Location: MILAN

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 models
• Training, deploying, and monitoring machine learning models tailored to various business needs.
• Conducting ad hoc data analyses
• Developing 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 Python

Knowledge of Object-Oriented Programming and Git workflows

Experience with CI/CD pipelines and DevOps practices

Skills

Demonstrated solid data handling skills.

Fluent written and spoken English

Strong verbal and written communication skills

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 the following

Credit Decision Models

Business Models (e.g., Churn, Propensity)

Clustering techniques

Personal Characteristics

Self-driven with the ability to figure out solutions by him or herself

Ability 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