AI And Data Science For SAP Business Applications Intern 2027

Role Overview

Support AI and data science initiatives across enterprise applications, with a focus on Generative AI (LLMs), enterprise data analytics, and AI-enabled process automation in SAP. The intern will work with data and business teams to develop analytical solutions, improve data workflows, and explore AI applications within SAP SCM, TM, and SD processes.

Job description:

AI, Data Science & Analytics

• Clean, preprocess, and structure unstructured or semi-structured data for AI modeling and analysis.
• Explore and develop Generative AI (LLM) use cases to support business processes and improve operational efficiency.
• Analyze large-scale enterprise datasets extracted from SAP S/4HANA to identify trends, anomalies, and opportunities for process improvement.
• Develop interactive dashboards, data visualizations, and automated reports to communicate insights to stakeholders.
• Work with the Nexus platform to support data integration, pipeline optimization, and data consistency across environments.

SAP AI & Process Automation

• Support the implementation of AI-enabled features within SAP Supply Chain Management (SCM), Transportation Management (TM), and Sales and Distribution (SD) processes.
• Explore opportunities to apply AI and automation to improve existing SAP business processes.
• Assist in evaluating, testing, and validating AI solutions and process automation workflows.
• Collaborate with SAP functional and technical teams to understand business requirements and identify suitable AI applications.
• Prepare technical documentation, process flows, and project updates for AI and SAP initiatives.

Qualifications

• Thai or international students are welcome
• At least 18 years old
• Good command in English
• Currently pursuing a degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
• Strong interest in Generative AI, LLMs, data science, and AI-driven business process improvement.
• Knowledge of Python and data analysis libraries such as Pandas and NumPy.
• Familiarity with AI/ML frameworks such as Scikit-learn, TensorFlow, or PyTorch is an advantage.
• Basic understanding of data visualization, dashboard development, and data processing.
• Familiar with SAP systems, particularly SAP S/4HANA, SCM, TM, or SD, is an advantage.
• Knowledge of AI applications, process automation, or enterprise system integration is a plus.
• Strong analytical and problem-solving skills, with an innovative mindset and willingness to explore new technologies.
• Good communication and teamwork skills, with the ability to collaborate with both technical and business stakeholders.
• Proactive, adaptable, and eager to learn.