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ams OSRAM GmbH
last mo.

Master thesis-AI-Driven Project Risk Prediction & Optimization using Historical "LL" Data(m/w/x)

Premstätten
Part-timeOn-siteExperienced
AI/ML
Data Science

Description

In this master thesis role, you will leverage historical data to predict project risks and delays while identifying opportunities for process improvement. Your work will involve transforming unstructured insights into actionable intelligence, ultimately enhancing decision-making and governance.

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Requirements

  • •Enrolled Master's student in Data Science, Computer Science, AI/ML, Industrial Engineering, or similar
  • •Structured, analytical mindset
  • •Understanding of project management principles
  • •Solid coding skills in Python
  • •Interest or experience in NLP/text mining
  • •Skilled in Microsoft Office, familiarity with SharePoint, Jira/Confluence, Power BI, or AI-enabled productivity tools
  • •Excellent English skills, German is a plus
  • •Strong interest in business process management, digitalization, and IT tools
  • •Strong interpersonal skills and a solution-oriented approach

Education

Currently in higher education

Work Experience

approx. 1 - 4 years

Tasks

  • •Develop a data-driven approach to predict project risks and delays
  • •Uncover process improvement opportunities using historical project information
  • •Transform unstructured Lessons Learned data into structured insights
  • •Automate project status tracking with historical data
  • •Convert Lessons Learned repositories into predictive intelligence
  • •Build explainable machine learning models for risk and delay prediction
  • •Create an AI-based status and risk prediction engine
  • •Develop a Lessons Learned analytics module with themes and insights
  • •Design a visualization dashboard with risk themes and improvement recommendations

Tools & Technologies

PythonMicrosoft OfficeSharePointJiraConfluencePower BI

Languages

English – Business Fluent

German – Basic

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