Data & AI Adoption Intern - Hybrid, Investment Center

ING Bank Personeel BV; Amsterdam; Sur place; EUR 7 800 - 17 000; Plein temps

Avantages offerts par ce poste

Laptop provided

Hybrid working

Learning-focused environment

Exposure to senior professionals

Résumé du poste

ING Global Investment Center offers a Data & AI adoption internship in Amsterdam. You will identify and structure AI use cases, work with stakeholders, and translate ideas into clear requirements.

The role combines analytical data work with AI strategy and hands-on data preparation to support smarter decisions. Ideal candidates are pursuing a Master’s in AI/Data Science or related fields, with hands-on data skills in Excel, Python, SQL or Power BI, and strong English communication.

Qualifications

• Currently enrolled in a Master’s programme in AI, Data Science, Econometrics, Engineering, Business Analytics, Finance & Technology, or a similar field.
• Hands-on experience cleaning, structuring, analysing and visualising data using tools such as Excel, Python, SQL or Power BI.
• Strong interest in applying AI to real business problems beyond purely technical modelling.
• Curiosity about generative AI and AI agents and how to judge outputs.

Responsabilités

• AI use-case design: identify and structure AI use cases across the investment value chain.
• Data analysis and preparation: work hands-on with data from different sources and build insights and visualisations.
• Knowledge and information for AI: help organise information so AI tools can use it effectively.

Connaissances

Data cleaning

Data structuring

Data analysis

Data visualization

Excel

Python

SQL

Power BI

English communication

Formation

Master's programme in AI/DS/ Econometrics/Engineering/Business Analytics/Finance & Technology

Outils

Excel

Python

SQL

Power BI

Description du poste

ING Global Investment Center offers a Data & AI adoption internship in Amsterdam. You will identify and structure AI use cases, work with stakeholders, and translate ideas into clear requirements.

The role combines analytical data work with AI strategy and hands-on data preparation to support smarter decisions. Ideal candidates are pursuing a Master’s in AI/Data Science or related fields, with hands-on data skills in Excel, Python, SQL or Power BI, and strong English communication.