Job Description:

Join our dynamic team as a working student in the field of Data and Research Science. In this role, you will be immersed in a complex environment where our production and logistics networks are intricately interconnected. As a key part of our operations, you will be tasked with navigating the changing factors influencing these networks over time. Your primary focus will be on how to effectively and scalably implement cutting-edge concepts from machine learning, artificial intelligence, and operations research to optimize our supply chains and enhance vehicle manufacturing efficiency. This internship will provide you with the opportunity to identify planning decisions that can benefit from advanced techniques in machine learning and AI, as well as the chance to apply innovative optimization approaches to real-world challenges in production and logistics.

IT Languages:

• Python

In this role, you will be responsible for various critical tasks that contribute to the optimization of our production and logistics systems.:

Identify planning decisions suitable for machine learning, AI, or operations research approaches.;; Transfer established and innovative optimization strategies to specific use cases in production and logistics.;; Adapt these strategies to meet case-specific conditions, including modeling new constraints and improving calculation efficiency.;; Implement optimization models as scalable software components within agile teams.;; Provide proactive feedback for process improvement based on resulting optimization opportunities.

Spoken Languages:

• English;; German

Skillset:

• Machine Learning
• Artificial Intelligence
• Operations Research
• Applied Statistics
• Python
• Scikit-Learn
• Pytorch
• Tensorflow
• Gurobi
• ML-Flow

Soft Skills:

• High level of initiative
• Teamwork
• Communication skills

Qualifications:

• Currently enrolled in a Bachelor’s or Master’s program in Machine Learning, Artificial Intelligence, Operations Research, Applied Statistics, Computer Science, Mathematics, Physics, Business Informatics, or related fields.
• Experience in translating mathematical concepts into software components using programming languages.

Years of Experience:

2

Location:

Europe

Job Benefits:

• Hands-on experience in a leading automotive company
• Opportunity to work on cutting-edge technologies
• Supportive team environment
• Flexible working hours
• Potential for career advancement post-internship

Working Conditions:

Full Time

Employment Type:

Internship

Company Culture:

• A collaborative and innovative atmosphere that encourages continuous learning and development. The company values proactive contributions and fosters a culture of teamwork and open communication.

Opportunities For Advancement:

• Career development opportunities, Possibility of full-time employment after internship, Mentorship programs

Visa Sponsorship:

Available