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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

9Open Positions

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Intern Data‑driven IT‑stability in Service Integration

ABN AMRO Bank N.V.
Found 3 weeks ago
Location
Amstelveen, Netherlands
Duration (Months)
6 Months
Time
Full-time
Work Mode
Hybrid
Salary
€ 750 pm
Visa Help
Not disclosed
Last Verified
3 weeks ago

Education

  • Bachelor

Skills & Qualifications

Technical Skills

  • Python
  • SQL
  • R
  • Power BI
  • data analysis
  • statistics
  • AI/ML
  • data streams
  • predictive models
  • KPI data

Soft Skills

  • Analytical skills
  • curious
  • ambitious
  • Confidence
  • critical thinking
  • communication skills

Job Description

Digital infrastructures form the backbone of society. Payments, transactions, identity verification, digital security, and business continuity all depend on IT systems that must function flawlessly. In this complex environment, KPIs play a crucial role in safeguarding stability, reliability, and risk control. Within Service Integration & Orchestration (SIO), you will work in an environment where data-driven decision-making is central. During your graduation internship, you will investigate how KPI data can be used to analyse IT stability, identify patterns, and develop predictive models. Your work will generate insights that are directly applied in dashboards, reporting, and improvement initiatives with broad impact. This internship is open to both Dutch and international students. Your job As a graduation intern, you will investigate a core question within modern IT steering: what does KPI data really tell us about stability, and how can we use these insights to prevent disruptions and improve quality? Your assignment consists of four connected parts: * You will investigate which KPI developments contribute most strongly to stable IT services. You will dive into data streams, analyse patterns, and uncover which indicators truly have predictive value. * You will assess whether statistical methods and machine learning can help identify signals that announce an incident or disruption. AI is not a goal in itself, but a tool that you use when it adds value. * You will examine how KPI information can be interpreted more intelligently, so that value clusters can steer earlier and more proactively. You will not only look at data, but also at meaning, context, chain effects, and impact on service delivery. * You will translate insights into steering information that is directly used by SIO, management, and IT teams. Your analyses do not remain on paper: you present them, defend them, and incorporate them into dashboards, reports, and improvement recommendations Your working environment You will work in an analytical, sharp, and curious team operating in a high-impact environment. Within SIO, you will continuously reflect with colleagues on analyses, hypotheses, and approach. You will join meetings in which KPI outcomes are discussed and see how your insights directly influence both strategic and operational decisions. You will collaborate with professionals in IT performance, data steering, and risk & control. They will challenge you to think more deeply, reason more critically, and present more sharply. You will have access to relevant datasets, substantive coaching, and an environment where innovation, responsibility, and continuous improvement are central.

Requirements

  • 0+ years
  • Passion for your field of expertise
  • Analytical skills
  • The ability to recognise trends, patterns, and causality in KPI data
  • Affinity with data analysis, statistics, and optionally AI/ML as an extension
  • Understanding of data flows, data models, and how data is translated into decision-making information
  • Precision in processing and validation
  • The ability to present complex findings clearly and convincingly
  • Confidence: you are able to argue with sound reasoning, ask critical follow-up questions, and reflect critically
  • Strong written and verbal communication skills in Dutch and English
  • Experience with or affinity for tools such as Python, SQL, R, or Power BI is a plus, but not a requirement
  • The ability to substantiate your conclusions convincingly towards management

Related Field

  • Data & Analytics

Related Subfield

  • Data Analysis

Languages

  • Dutch
  • English

Nice to Haves

  • Experience with or affinity for tools such as Python, SQL, R, or Power BI
▶Apply Now

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