AI-Supported Data Analysis Intern

Responsibilities

• Analyze and prepare production and process data, such as time series and test protocols, from various sources
• Identify patterns, correlations, and deviations to support data-driven decision-making
• Select, develop, and implement AI models, specifically for anomaly and error detection
• Combine data-driven approaches with physical models and implement Explainable AI (XAI)
• Analyze manufacturing processes and translate expert knowledge into modelable structures
• Investigate the relationship between process parameters and product quality
• Prepare results visually through dashboards and support the development of user-friendly frontends
• Utilize Generative AI to improve user interactions and evaluate application usability

Requirements

• Experience in the analysis of production and process data
• Ability to select and develop appropriate AI models
• Knowledge or interest in implementing Explainable AI (XAI)
• Familiarity with the use of Generative AI
• Skills in creating data dashboards and visualizing complex information

Benefits

• Attractive monthly flat-rate compensation
• Modern technical equipment, including a company notebook
• Opportunity to write a thesis in cooperation with the company
• Potential for permanent employment following the internship
• Access to on-site dining and various employee resource groups

About the Company

Linde GmbH, part of Linde Engineering, develops technologies and products that combine customer benefits with a contribution to sustainable development. We operate globally across all business sectors and regions, focusing on innovation and responsibility toward our shareholders, employees, and the environment.