30 ECTS - Master's Thesis Data-Driven Insights for Powertrain Testing

Master's Thesis - 30 ECTS Data-Driven Insights for Powertrain Testing

Introduction

Thesis work is an excellent way to get closer to Scania and build relationships for the future. Many of today's employees began their Scania career with their degree project.

Background

Within Scania Powertrain Testing, we continuously collect operational data through our internal system PUTS. The system is used to monitor test cell utilization, document downtime and its underlying causes, and provide insights into operational performance.

While PUTS already supports operational follow-up and reporting, the collected data offers significant potential for further analysis, improved decision-making, and continuous improvement across the organization.

Objective

The objective of this thesis is to investigate how data collected in PUTS can be transformed into actionable insights that support operational efficiency, resource planning, and strategic decision-making.

The work should focus on identifying business needs and exploring how statistical methods, advanced data analytics, and potentially artificial intelligence or machine learning can provide additional value.

Job description

Possible areas of investigation include:

• Identifying patterns, trends, and recurring causes of operational inefficiencies.
• Exploring predictive models for downtime, resource requirements, or future operational needs.
• Investigating how data can support different stakeholders, from technical support teams and operational managers to senior management.
• Evaluating opportunities for new analytical tools, visualizations, or decision-support functionalities.

The expected outcome may include analytical models, a prototype decision-support tool, or recommendations for future development of PUTS and its data utilization.

The specific scope and deliverables will be defined together with the student based on identified business needs and areas of interest.

Contact persons and supervisors:

Grgic Damir, Unit Head, damir.grgic@scania.com

Frid Julia, Developer, julia.frid@scania.com

Application:

Your application must include a CV, personal letter and transcript of grades

A background check might be conducted for this position. 

We are conducting interviews continuously and may close the recruitment earlier than the date specified.    

 

Publication date from - to

2026-11-09 to 2026-11-23