FAQs
What is the duration of the GOglobal Trainee Data & AI program?
The program lasts for 24 months.
Where is the primary work location for this program?
The primary work location is Darmstadt, Germany.
Will there be international assignments during the program?
Yes, there will be a 3 to 6 month international assignment as part of the program.
What qualifications are required to apply for this position?
A Master’s degree or PhD in Data Science, Computer Science, Mathematics, (Industrial) Engineering, Computational Chemistry, Physics, or a similar field is required.
Are programming skills necessary for this position?
Yes, programming experience is mandatory, with knowledge in languages such as Python, R, Matlab, Java, or C++.
Is prior experience with specific tools required?
While not mandatory, prior experience with Palantir Foundry or AWS (e.g., EC2, Sagemaker, S3) is beneficial.
How many internships should I have before applying?
At least one, but ideally two data & AI related internships are expected, along with some international experience.
What skills are emphasized for candidates?
Strong analytical skills, effective communication (both verbal and written), and the ability to work well with diverse teams are emphasized.
When should I submit my application?
Applications should be submitted by 20 December 2024.
When will the Assessment Center take place?
The Assessment Center is scheduled for mid-February 2025.
What is the focus of the assignments during the program?
Assignments will focus on the Group’s Data & AI Strategy, supporting products and projects, and applying data & AI skills across various sectors.
Does the company support personal and professional development?
Yes, the program is designed to develop your personal and professional growth with networking opportunities to enhance your data & AI skills.
Is there a specific role I will be placed in after the program?
You can decide on your target role, whether as a data scientist, ML engineer, or product owner, based on your preferences and business needs.