REQ-10097534
26/08/2025
Trainee
Milaan, Italië
ING Bank
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 a deep learning model for the mortgage portfolio. Specifically, they will evaluate different approaches and compare them with the model currently in production.
For this purpose, we are looking for students interested in writing their thesis on this topic.
Eperiences:
Practical e* perience (at least 2+ years) with programming language such as Python
Familiarity with machine learning libraries and frameworks (e.g. scikit-learn...)
Knowledge of Object-Oriented Programming and Git workflows
Nice to Have:
Personal public projects on GitHub/Azure or similar
E* perience with Keras/TensorFlow for deep learning models.
E* perience with CI/CD pipelines and DevOps practices
Skills:
Demonstrated solid data handling skills.
Fluent written and spoken English
Strong verbal and written communication skills
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.
Your place of work
Eplore the areaQuestions? Just ask
Elena Salvi
Bij ING willen we het beste uit mensen halen. Daarom hebben we een inclusieve cultuur waarin iedereen de kans krijgt om te groeien en een verschil te maken voor onze klanten en de samenleving. Diversiteit, gelijkheid en inclusie staan bij ons altijd voorop. We behan iedereen eerlijk, ongeacht leeftijd, geslacht, genderidentiteit, culturele achtergrond, ervaring, geloof, ras, etniciteit, beperking, gezinssituatie, seksuele geaardheid, sociale afkomst of wat dan ook. Heb je hulp nodig of kunnen we iets voor je doen tijdens je sollicitatie of gesprek? Neem dan contact op met de recruiter die bij de vacature vermeld staat. We werken graag samen met jou om het proces eerlijk en toegankelijk te maken. Lees hier meer over hoe wij staan voor diversiteit, inclusie en erbij horen.