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ING Group · Milan, IT

# Machine Learning Engineer Intern

Milan, IT Full-time Early career {'@type': 'MonetaryAmount', 'currency': '', 'value': {'@type': 'QuantitativeValue', 'unitText': ''}} Data & Analytics 

Listed on ING Group’s official careers site. Posted October 16, 2026. Check that it is still open and apply there.
[Apply on ING Group’s careers site →](https://careers.ing.com/en/job/milan/machine-learning-engineer-intern/3121/45314691840)

[OpenNash Jobs](https://jobs.opennash.com/) / [ING Group](https://jobs.opennash.com/companies/ing-group/) / Machine Learning Engineer Intern

## Job description

### 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

## At a glance
- Posted by the employer: Oct 16, 2026
- First seen by OpenNash: Oct 20, 2026
- Last checked: Oct 20, 2026
- Listed for: 4 days
- Location: Milan, IT
- Employment type: Full-time
- Pay: {'@type': 'MonetaryAmount', 'currency': '', 'value': {'@type': 'QuantitativeValue', 'unitText': ''}}[Apply on ING Group’s careers site →](https://careers.ing.com/en/job/milan/machine-learning-engineer-intern/3121/45314691840)

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