Internship in the field of data quality monitoring in time series data from June 2025

At Daimler Truck, we want to change today's transport to do something together. This is why we take responsibility worldwide and work together as a global team on our vision: Leading Sustainable Transportation. They are the people who make the difference and drive the success. Together, we want to achieve more sustainable transport, reduce our carbon footprint, increase safety on and next to the roads and develop smarter technologies and financing solutions. We work for those who move the world – this is our joint drive at Daimler Truck.

YOU MAKE US – YOU MACHINED ABOUT UNS At Daimler Truck we are changing today's transportation. We take responsibility worldwide and work together on our vision: Leading Sustainable Transportation. As a global team, we are driving our progress and success together – each one makes the difference with Daimler Truck. Together, we want to achieve more sustainable transport, reduce our carbon footprint, increase safety on and next to the roads and develop smarter technologies and attractive financing solutions. We work for those who move the world – this is our joint drive at Daimler Truck. Be part of our global team: You make the difference – YOU MAKE US TeamAdvanced Analytics at Daimler Trucks is driving the development towards a data-driven organization by providing data-based analyses for the vehicle and drivetrain development departments. Our tasks include the development of data pipelines (ETL), tools and methods for data visualization and analysis, the generation of predictions and models for the cause analysis by using statistical and machine learning methods. We also support engineering departments in complex applications. The Advanced Analytics team at Daimler Trucks is driving the transformation towards a data-driven organization by providing data-supported analytics for the vehicle and powertrain R&D departments. Our tasks include developing data pipelines (ETL), tools, and methods for data analytics, generating data products, reports and models for the internal customers. we support engineering departments with complex use cases. Development of methods for monitoring data quality in time series data Root-Cause Analysis of Data Quality Problems Development and implementation of methods for detecting and correcting data anomalies Creating Big Data Analysis and Evaluations in the Cloud We offer you: An exciting and varied activity in a dynamic environment The opportunity to participate independently in projects and introduce your ideas An attractive remuneration and flexible working hours Insights into the working world of a leading company in the commercial vehicle industry Participation and participation in exciting exchange and network formats of the multi-site student @ Daimler Truck Network Your Responsibilities: Develop methods for monitoring data quality in time series data Conduct root cause analysis of data quality issues Engineer techniques for detection and reaction on data anomalies Perform big data analyses and evaluations in the Azure cloud environment We Offer: A dynamic and innovative work environment The opportunity to work on exciting and challenging projects Insights into the latest technologies and methods in Data Science and Analytics Support from an experienced and motivated team

Self-working and proactive personality High commitment and team capability Course in Computer Science, Mathematics, Physics, Engineering or a comparable field with reference to at least one of the qualifications listed below First experiences in Data Science, Data Analytics or Data Engineering, e.g. in Business Intelligence or Big Data First experience with cloud-based data analysis environments such as Databricks, Azure or similar platforms Knowledge of Python Secure knowledge of German and English in word and writing Additional information: Of course, without formalities, we are not. Please apply online only and add a CV to your application, current enrollment certificate indicating the semester, current grade, relevant certificates, proof of the period of study and a mandatory or combination internship (max. total size of the annexes 5 MB). Please understand that we no longer accept paper applications and there is no claim to return. For further information on the setting criteria, see https://www.daimlertruck.com/karriere/studierende-absolvent Members of countries outside the European Economic Area may send their residence/work permit. We are particularly pleased to receive online applications of disabled people and disabled people. If you have any questions, you can also contact sbv-zentrale-truck@daimlertruck.com to the site's severely disabled representative, who will be happy to support you in the further application process after your application. Questions about the application process will be answered by e-mail: hr-service@hr.daimlertruck.com Your Profile: Ability to work independently and initiative-driven personality High level of commitment and team spirit Valid Enrolment for a degree program in Computer Science, Mathematics, Physics, Engineering, or a related field Experience in Data Science, Data Analytics, or Data Engineering, e.g., in Business Intelligence or Big Data Experience with cloud-based data analysis environments such as Databricks, Azure, or similar platforms Proficiency in Python Proficiency in both German and English, spoken and written Additional information: It doesn't work without completely formalities. When sending your online application, please attach your CV, an individual letter and any references you may have (max. 5 MB). Please understand that we no longer accept paper applications and that there is no right to get your documents. We particularly welcome online applications from candidates with disabilities or similar impairments in direct response to this job advertisement. If you have any questions, you can contact the local disability officer once you have submitted your application form, who will gladly assist you in the onward application process: sbv-zentrale-truck@daimlertruck.com If you have any questions regarding the application process, please contact HR Services by e-mail: hr-service@hr.daimlertruck.com

At Daimler Truck we promote diversity and stand for an inclusive corporate culture. We appreciate the individual strengths of our employees: they lead to the best team performance and thus to the success of our company. Inclusion and equal opportunities are important to us – no matter where you come from and who you are. We look forward to applications from people of all cultures and genders, parents, people with disabilities and people from the LGBTIQ+ community. JOBV1_EN