Intern in the field of Data Science/Machine Learning (m/f/d)

Req ID 70257 Hannover, Germany

For our Commercial Vehicle Solutions Product Innovation Connectivity division at our Hannover location, we are looking for

Intern in the field of Data Science/Machine Learning (m/f/d)

This is what we offer you at ZF CVS:

• Diverse, challenging work tasks with direct entry into the team and into the activity

• Professional experience in a world-renowned and international company

• Exciting current questions in the application of data-based methods in the physical environment

• The opportunity to carry out projects independently

• Attractive internship salary and flexible working hours main tasks

• Data Processing and Data Analysis in Python

• Feature engineering and correlation analysis of time series data

• Investigation of different modeling methods for signal classification

• evaluation and validation of the models

• Documentation, presentation and discussion of the results with experts knowledge & experience

• You are studying (Master) electrical engineering, computer science, mechatronics or a related course of study

• Study focus or special interest in data science, data analytics, signal processing and their technical applications

• Good knowledge of modeling time series data

• Good knowledge of Python

• Ability to work in a team as well as independent, careful and goal-oriented working style

• Good written and spoken English skills

Desirable:

• First Experiences with Machine Learning Algorithms

• Knowledge of Big Data, Data Lake and Machine Learning platform solutions (Azure, Databricks, Oracle, etc.)

Are you ready to find out how far your knowledge, talent and ambition can take you in the global world of commercial vehicles? Then apply with your cover letter, CV, certificate of enrollment and a current transcript of records. When applying, please also tell us the period in which you would like to complete your internship

Be part of our ZF team as Praktikant im Bereich Data Science/Machine Learning (m/w/d) and apply now!

Contact

Alexander Benz

+49 511 922 3806