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

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

Req ID 70257 Hannover, Germany

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

Intern in 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 globally known 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 remuneration 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

• 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 discover how far your knowledge, talent, and ambition can take you in the global world of commercial vehicles? Then apply with your cover letter, CV, proof of enrollment, and a current transcript of records. Please also indicate the dates you would like to complete your internship.

Be part of our ZF team as Intern in Data Science/Machine Learning (m/f/d) and apply now!

Contact

Alexander Benz

+49 511 922 3806