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Thesis Volume Planning and AI-Driven Forecasting Concept (w/m/d)

MAN Truck & Bus SEvor 22 StundenWerkstudent
Vor OrtEnglisch erforderlichDeutsch von Vorteil (nicht erforderlich)TechKI, ML & Data Science

Erforderliche Skills

Data AnalyticsMachine LearningSQLPythonStatisticsArtificial IntelligenceForecasting ModelsPower BIData Modeling

Stellenbeschreibung

MAN Truck & Bus SE hat diese Stelle ausgeschrieben. Unten erklären wir, was sie für dich als Werkstudent:in in Munich bedeutet: deine Wochenstunden, dein Netto und deine Visumsgrenzen.

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Beschreibung bereitgestellt von MAN Truck & Bus SE

Stellenbezeichnung: Thesis Volume Planning and AI-Driven Forecasting Concept (w/m/d)

Startdatum der Ausschreibung: 28.09.26

To be filled from

01.01.2027

Your working environment

At MAN Truck & Bus, we are part of a strong international team and one of Europe's leading commercial vehicle manufacturers and providers of transportation solutions. Together with Scania, Volkswagen Truck & Bus, International we are part of the TRATON GROUP.

As part of this group, we face major challenges: Our vehicles are becoming increasingly autonomous and connected in order to reduce emissions on the road. We are working on sustainable solutions for this. A career at MAN Truck & Bus offers countless opportunities to participate in this change. Putting the customer first, respect, team spirit, responsibility and avoiding waste - these are the corporate values we live by at MAN.

Pull together with us. As part of our global team of over 36,000 employees, you will join us in turning visions of the future into reality.

We see the individuality of our employees as a strength and welcome diverse applications from people with different backgrounds. If you need support during your application, please contact us.

You can look forward to these tasks

  • Analyze current project, volume, and aggregate planning processes.
  • Identify and evaluate existing data sources, interfaces, and planning methodologies.
  • Research state-of-the-art approaches in forecasting, data analytics, machine learning, and artificial intelligence.
  • Identify key drivers influencing sales volumes, project volumes, and aggregate demand.
  • Evaluate different forecasting models with regard to accuracy, transparency, and practical applicability.
  • Develop a concept for an IT-based solution that supports and automates planning activities.
  • Define a target vision for future AI-powered, cross-functional forecasting processes.
  • Design a suitable data model, forecasting methodology, tool architecture, and implementation concept.
  • Develop a roadmap for the phased implementation of the proposed solution.
  • Present and discuss findings and recommendations with relevant stakeholders and business departments

We are looking forward to

  • Master's degree candidate in Industrial Engineering, Data Science, Computer Science, Business Informatics, Statistics, or a comparable field of study.
  • Eligible to undertake a Master's thesis according to university requirements.
  • Solid understanding of data analysis, statistics, machine learning, or artificial intelligence.
  • Experience with Python, SQL, Power BI, or similar analytics tools is advantageous.
  • Strong interest in complex planning, forecasting, and decision-support processes.
  • Independent, structured, and analytical way of working.
  • Strong English communication skills at academic level; German language skills are desirable but not mandatory.

Has MAN piqued your interest? We look forward to receiving your detailed application!

Job information

Reference number: 6810

Claudia Wünsche, [email protected], will be happy to answer any questions about HR you may have.

The contact person for the department is: Arthur Blozyk, [email protected] .

Integrity and compliance are essential parts of our corporate culture.

We promote diversity and equal opportunities and look forward to receiving diverse applications.

Wichtiges für Werkstudierende

Was diese Werkstudentenstelle im Bereich Tech in Munich für dich bedeutet: die Wochenstundenregeln, die Vorteile bei den Sozialabgaben und worauf internationale Studierende vor der Bewerbung achten sollten.

Wochenstunden

Werkstudierende dürfen während des Semesters bis zu 20 Stunden pro Woche arbeiten, in den Semesterferien Vollzeit. Wer das einhält, behält den Studierendenstatus und die Werkstudentenvorteile.

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Sozialabgaben

Dank des Werkstudentenprivilegs zahlst du keine Beiträge zur Kranken-, Pflege- und Arbeitslosenversicherung — nur die Rentenversicherung greift. Dir bleibt mehr netto als in einem regulären Job.

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Internationale Studierende

Studierende von außerhalb der EU dürfen 140 volle oder 280 halbe Tage im Jahr arbeiten (seit März 2024, zuvor 120/240). Ein Werkstudentenvertrag passt meist in diesen Rahmen — prüfe die genauen Grenzen auf deinem Aufenthaltstitel.

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