Working Student (f/m/d) – AI Engineering & Data Science

Description

The company is SAP's Enterprise AI Center of Excellence, which embeds AI into business processes using high-quality data and next-generation search architecture.

The unit designs, builds and runs AI platforms, custom solutions and digital assistants that make work simpler across the company's products and create business value.

Teams are agile and self-directed, and work with trust, creativity and ongoing learning.

The company has operated for over 50 years and serves organizations across finance, procurement, HR, supply chain and customer experience.

Responsibilities

• Work with a team of data scientists, data engineers, MLOps engineers and AI engineers on ML models and AI agents across the full lifecycle: data exploration, training, fine-tuning and optimization, production deployment, testing and monitoring.
• Talk with stakeholders to learn how business processes work and what data the models receive.
• Support a highly visible AI project alongside experienced data scientists and AI developers.
• Learn data-centric AI development practices.
• Work with a modern cloud stack, including SAP BTP and hyperscaler offerings.

Requirements

• Bachelor's degree in Data Science or a related field.
• Proficiency in Python and at least one other programming or scripting language.
• Experience with one or more machine learning frameworks or agentic AI frameworks.
• Good grasp of statistical methods and how to assess model quality.
• Strong spoken and written English.
• A genuine interest in applying machine learning or agentic AI to business problems.
• Experience working with complex tabular data.
• Nice to have: experience with explainability and interpretability of machine learning models.
• Nice to have: experience with deep learning architectures.
• Nice to have: knowledge of large-scale data analysis with Spark.
• Nice to have: experience with CI/CD frameworks.
• Nice to have: experience with MLOps tools.
• Your cover letter goes in the free text field and should explain your motivation.

Conditions

Paid working student position with a global, strategic scope.

You must work regularly from the Walldorf or Munich SAP office.

Equal opportunity applies, and the company provides accessibility accommodations on request.

Using AI in the recruitment process is governed by the company's guidelines, and violating them may lead to disqualification.

Benefits

• The company offers an inclusive culture, a focus on health and well-being, and flexible working models.