Job Description

Internship Scope

The internship will consist of two complementary workstreams:

1. Research Track: Engineering Productivity and AI Impact

The intern will conduct academic and industry research focused on understanding and evaluating engineering productivity within ING. The research will examine:

• Current approaches used by ING to measure engineering productivity, developer experience, and AI impact.
• The influence of AI-enabled engineering practices and engineering platforms on productivity and delivery outcomes.
• Industry best practices, frameworks, and benchmarks for measuring engineering effectiveness.
• Opportunities and challenges in attributing business and engineering outcomes to platform capabilities and AI adoption.
• Recommendations for improving the interpretation and use of engineering metrics in decision-making.

The outcome of this track is expected to be a research-based assessment of ING's current approach, enriched with academic insights and industry comparisons.

1. Engineering / Technology Track: Insights Engineer Proof of Concept

In parallel, the intern will design and develop a Proof of Concept (PoC) for an "Insights" capability. The objective is to move beyond collecting engineering metrics and towards generating meaningful, actionable insights from them.

Potential capabilities of the PoC include:

• Translating engineering metrics into business and engineering interpretations.
• Detecting trends, patterns, and anomalies across engineering datasets.
• Identifying correlations and potential relationships between metrics.
• Providing contextual explanations of observed metric changes.
• Generating hypotheses about root causes and contributing factors.
• Producing recommended actions for engineering leaders, product managers, and platform teams.
• Leveraging AI capabilities to support automated analysis, narrative generation, and insight discovery.

The long-term vision is to explore how AI can help engineering leaders move from dashboard consumption to insight-driven decision-making by automatically interpreting engineering data and highlighting opportunities for improvement.

Expected value

The internship combines academic research with practical implementation through the following activities:

1. Developing a deeper understanding of engineering productivity and AI impact within ING.

• Benchmarking ING's practices against academic research and industry standards.
• Exploring innovative ways to transform engineering metrics into actionable insights.
• Validating the feasibility of an AI-assisted insights engineering capability for engineering leadership and platform organizations.

Rewards and benefits

This is a great opportunity to train with highly skilled people who are experts in their field. You’ll do a lot and learn a lot – not only about your specialist area and the bank, but also about yourself and whether this type of environment is right for you.

You’ll also benefit from:

• Internship allowance of 700 EUR based on 36 hours work week
• Your own work laptop
• Hybrid working to blend home working for focus and office working for collaboration and co-creation
• Personal growth and challenging work with endless possibilities
• An informal working environment with innovative colleagues

Please note that for this internship it is mandatory to be currently enrolled as a student at a Dutch University.

Want to apply directly?

Please upload your CV and motivation letter by clicking the ‘Apply’ button.

About our internships

Every year, more than 350 students join our internship program. While there are no guarantees about your future, many of our former interns move into a permanent role or onto our International Talent Programme (traineeship).

Whatever happens, an internship at ING is the ideal opportunity to meet a wide variety of people, to build up your own network, and to learn about many different aspects of banking – put simply, it’s a great start to your career.