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Business Analytics | Data Science internship: AI-driven operations

ASML · Veldhoven, Netherlands · Posted 1 day ago

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PythonSQLRBusiness IntelligenceMachine LearningForecastingData AnalysisProcess Analysis

Build AI-driven prototypes and forecasting models that tackle real operational challenges in ASML's high-tech manufacturing environment, with a path to industrialization.

Introduction The Business Engineering team within Operational Excellence supports manufacturing and operational organizations in improving performance, resource utilization, and decision-making. As part of this team, you will help explore how artificial intelligence and advanced analytics can solve real operational challenges in a high-tech manufacturing environment. This Business Analytics | Data Science internship: AI-driven operations, offers the opportunity to work directly with stakeholders, analyze complex processes, and develop practical solutions that create measurable impact. You will contribute to turning operational data into actionable insights while supporting continuous improvement initiatives across the organization.

Your assignment As an intern, you will join the Business Engineering team and contribute to projects that combine operational excellence, data analytics, and artificial intelligence. During this , you will investigate operational challenges, develop proof-of-concept solutions, and assess how these solutions can be scaled and embedded into daily operations. You will interact with business stakeholders, operational teams, and analytics specialists to ensure solutions deliver practical value. Your main responsibilities will be:

  • Identify operational challenges that could benefit from AI or advanced analytics solutions.
  • Analyze business processes, operational data, and stakeholder needs.
  • Translate business questions into structured analyses and data-driven recommendations.
  • Develop and test AI-driven prototypes, forecasting models, or decision-support solutions.
  • Evaluate proof-of-concept solutions and assess industrialization opportunities.
  • Present insights, findings, and recommendations to stakeholders across the organization.
  • Document outcomes and support knowledge transfer within the Business Engineering team.

…

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