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Master´s Thesis in the field of process mining

ROSENvor 1 MonatAktualisiert vor 6 TagenWerkstudent
Vor OrtEnglisch erforderlichTechKI, ML & Data Science

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  • Voraussetzungen

    Studium: Informatik, Data Science oder vergleichbar · Masterstudierende · Immatrikulation erforderlich

    Sprachen: Englisch gut

  • Gut zu wissen

    Abschlussarbeit möglich

  • Arbeitgeber

    Wir listen 4 offene Werkstudentenjobs und Praktika bei ROSEN. Seit April 2026 haben wir dort 2 weitere gelistet, die inzwischen geschlossen sind. Alle Stellen von ROSEN

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  • Skills laut Anzeige

    Predictive ModelingData AnalysisMachine LearningPredictive AnalyticsPythonProcess Mining

Stellenbeschreibung

Beschreibung bereitgestellt von ROSEN

Location: Lingen

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What you can expect

Master’s Thesis (m/f/d) in Data Science

This is an onsite position in Lingen, Germany.

As part of a master's thesis (m/f/d), we offer the opportunity to work on real-world data science challenges within an international corporate environment. We are looking for a highly motivated master's student with a strong interest in data science, machine learning, and applied artificial intelligence.

The thesis focuses on developing and evaluating data-driven models that generate insights and predictions from operational process data. By applying advanced analytics, machine learning, and predictive modeling techniques, you will contribute to process optimization, support data-driven decision-making, and create measurable business value.

Your Responsibilities

  • Developing and testing machine learning approaches to derive insights and predictions from process data
  • Researching, implementing, and comparing suitable methods from the fields of machine learning, process mining, and predictive analytics
  • Evaluating and validating the developed approaches in terms of their significance and practical applicability
  • (Optional) Building a prototype application to put the predictive model into practice

What you will bring

To become part of the ROSEN family, show us that you can work well in a team, have an analytical mind, and work independently. Please also bring the following:

  • A degree program (not yet completed) in field Computer Science, Data Science, or a related field
  • An interest in data analysis, machine learning, and the optimization of business processes
  • Proficiency in Python
  • Strong analytical and conceptual skills
  • A structured and meticulous approach to work
  • Good written and spoken English skills

What we offer

We offer insights into the work of an international, innovative, and forward-thinking corporate group. In an open corporate culture with quick decision-making processes, you can successfully bring your ideas to life.

  • The opportunity to contribute to cutting-edge research and development
  • Work on real-world industrial datasets with high practical relevance
  • Flexible working conditions, however the position is intended to be based at the company's location (Lingen or Osnabrück)
  • Close supervision and mentoring by experienced researchers and engineers
  • A dynamic, innovation-driven working environment

Who we are The ROSEN Group is a leading global provider of cutting-edge solutions in all areas of the integrity process chain. Since its beginnings as a one-man business in 1981, ROSEN has grown rapidly and is today a technology group that operates in more than 110 countries with over 4,000 highly qualified employees.

ROSEN’s products and services:

  • Inspection of critical industrial assets to ensure reliable operations of the highest standards and effectiveness
  • Customized engineering consultancy providing efficient asset integrity management
  • Production and supply of customized novel products and systems
  • Market-driven, topical state-of-the-art research and development providing “added-value” products and services

For more information about the ROSEN Group, go to www.rosen-group.com.

Do you have any questions?

Hanna Riecken

Recruitment

Es gelten:20-Stunden-Regel140/280-Tage-RegelWerkstudentenprivilegBrutto-Netto-Rechner

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