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

MAN Truck & Bus SE23 hours agoWorking Student
On-siteEnglish requiredGerman is a plus (not required)TechAI, ML & Data Science

Required skills

Data AnalyticsMachine LearningSQLPythonStatisticsArtificial IntelligenceForecasting ModelsPower BIData Modeling

Job description

MAN Truck & Bus SE posted this role. Below, we break down what it means for a working student in Munich: your weekly hours, take-home pay and visa limits.

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Description provided by 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.

Working student essentials

What this Tech working student role in Munich means for you: the weekly-hours rules, the social-contribution perks, and what international students should check before applying.

Weekly hours

Working students may work up to 20 hours a week during the semester and full-time during the breaks. Staying within this keeps your student status and the Werkstudent benefits.

Working student rules

Social contributions

Under the Werkstudentenprivileg you're exempt from health, care and unemployment insurance contributions — only pension insurance applies. That leaves more net pay than a regular job.

Check your insurance

International students

Non-EU students can work 140 full or 280 half days per year (raised from 120/240 in March 2024). A working student contract usually fits within this — confirm the exact limits printed on your residence permit.

Studying in Germany

Frequently asked questions

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