Machine Learning Engineer Intern

ING Italia; Lombardia; Hybrid; EUR 8,900 - 13,000; Full time

Job summary

ING Italia is seeking a student to develop an interactive dashboard computing profitability and risk for a finance product. The role involves building dashboards and tools to enhance data accessibility and support a data-driven organization.

You will work with teams across the bank, applying ML analytics concepts and a strong data-handling mindset, while communicating effectively in English.

Qualifications

• Practical experience (at least 2+ years) with Python programming.
• Knowledge of object-oriented programming and Git workflows.
• Experience with CI/CD pipelines and DevOps practices.
• Fluent written and spoken English and strong communication skills.

Responsibilities

• Develop an interactive dashboard to compute profitability and risk for a finance product.
• Collaborate with stakeholders to ensure data accessibility and insights.
• Contribute to data analyses and dashboard tooling for a data-driven organization.

Skills

Python

Object-Oriented Programming

Git workflows

CI/CD pipelines

DevOps practices

Data handling

English (fluent)

Communication skills

Education

Student pursuing degree with thesis

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:
• 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.