Data & AI adoption Intern – ING Global Investment Center
📍 Work location : Amsterdam | 🕒 Fulltime (36 uur)
Your role
At ING, we believe AI should solve real problems and create tangible value. As an AI Adoption Intern in the Data & AI team of the Global Investment Center (GIC), you will help identify, design and structure the AI use cases that matter most to the business, and help build more scalable, data-driven ways of working across markets.
You will work with business stakeholders to understand what problem AI should solve, what data, knowledge and systems it needs, and how it fits into the way people already work. Together with the teams who build and run these solutions, you will turn promising ideas into clear, well-defined use cases.
The role also has a strong hands-on data side. You will work with data from across the organisation, help prepare and organise it, and turn it into insights that support better decisions.
This is not a software engineering internship. It suits someone who is analytical, comfortable with data, good at bringing structure to open-ended problems, and curious about how AI can change the way a global organisation works.
The team
The Global Investment Center is at the heart of ING's ambition to build a single, scalable investment engine across markets. To support this, the GIC brings together expertise, information and capabilities from across ING's markets, so they can be shared and used more widely.
You will join the Data & AI team, which works across the whole GIC to make this happen through better use of data, analytics and AI.
Key responsibilities
1. AI use-case design
Identify and structure AI use cases across the investment value chain
Work with business teams to define the problem, the expected value and whether AI is the right fit
Describe what each solution should achieve, who will use it, and what data, knowledge and systems it needs
Translate selected use cases into clear business requirements and help shape the GIC's AI roadmap
2. Data analysis and preparation
Work hands-on with data from different sources across the organisation
Help prepare, structure and improve the quality of data for analysis and AI use cases
Analyse data and translate findings into clear, practical insights
Build visualisations and dashboards that make information easy to understand
3. Knowledge and information for AI
Help understand what information AI solutions need, and what is already available
Contribute to organising information so AI tools can use it effectively
Work with subject-matter experts to make sure AI solutions meet users' needs
How to succeed
We are looking for someone who combines analytical thinking, comfortable with data and genuine curiosity about AI:
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
A strong interest in applying AI to real business problems, beyond purely technical modelling
Curiosity about generative AI and AI agents, including how to judge the quality of their outputs
Able to bring structure to ambiguous, complex problems and take ownership of open-ended work
Comfortable working with people from different professional and technical backgrounds, and translating between business needs and data or AI concepts
Strong communication skills in English, written and spoken
What we offer
A front-row seat to AI and data transformation in ING's global investment organisation
Meaningful work on real business challenges and strategic decisions, not side projects
Variety: you will work across AI, data, analytics and investments rather than in one narrow discipline
Exposure to senior professionals across the organisation
Your own work laptop and hybrid working: at home for focus, in the office for collaboration
An informal, learning-focused environment…