Data & AI adoption Intern

ING Bank Personeel; Amsterdam; On-site; EUR 10,000 - 15,000; Full time

Benefits offered by this job

Laptop provided

Hybrid working

Networking opportunities

Job summary

ING is offering an Data & AI Adoption Intern position in the Global Investment Center, based in Amsterdam. The role focuses on identifying AI use cases, structuring them for the business and turning data into actionable insights.

You will work hands-on with data across markets, learn to build dashboards, and help translate business needs into AI-enabled solutions. This internship is suited for analytical students who enjoy clear structure and real-world AI impact.

Qualifications

• Enrolled in a Master’s programme in AI, Data Science, Econometrics, Engineering, Business Analytics, Finance & Technology or similar.
• Hands-on experience cleaning, structuring, analyzing and visualizing data using Excel, Python, SQL or Power BI.
• Strong interest in applying AI to real business problems beyond pure modelling.
• Fluency in English, written and spoken.

Responsibilities

• Design and structure AI use cases and translate them into clear business requirements.
• Work hands-on with data from across the organisation and prepare it for analysis and AI use cases.
• Build visualisations and dashboards to make information easy to understand.

Skills

Data analysis

Data visualization

Python

SQL

Excel

Power BI

English communication

Education

Master’s student in AI/Data Science

Tools

Power BI

Excel

SQL

Job description

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

• 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 with room to shape your own thinking and deliverables

During the internship, you must be enrolled at a Dutch university, or at an EU university if you hold an EU passport.

About our internships

Every year, more than 350 students join ING's internship programme. While there are no guarantees, many of our former interns move into a permanent role or join our International Talent Program.