Data Scientist

• Design, build and deploy digital solutions in the area of data analytics, machine learning and Generative AI to derive added value from large volumes of data for our internal and external customers
• Prepare, clean and model structured and unstructured data and apply statistical methods and machine learning algorithms
• Apply machine learning and generative AI models for end-to-end solution building
• Leverage generative AI methods like RAG and agentic AI to scale existing pilots and develop new features and products
• Collaborate closely in interdisciplinary teams with data analysts, data scientists, data engineers, business units, UX designers and IT departments

This role creates positive change by developing data analytics, machine learning, and generative AI solutions that derive added value from large volumes of data for internal and external customers, contributing to company IT development and international projects.

• Completed studies in computer science, mathematics, physics or a comparable education
• 3+ years of professional experience
• Experience in design, implementation and maintenance of data-intensive applications
• Knowledge and experience in several of the following areas: Hands-on application of methods of data analysis and artificial intelligence (statistics, machine learning, deep learning, generative AI), Hands-on experience in designing, developing and deploying RAG, Proven ability to develop and deploy Agentic AI frameworks to automate complex workflows and enable autonomous decision-making, Excellent Python programming skills and familiarity with relevant libraries (e.g. Pandas, scikit-learn, Langchain, TensorFlow, PyTorch), Visualization of complex interrelationships with Power BI and Python (esp. Matplotlib, Seaborn, Streamlit), Data modeling and data management, databases and database queries (e.g. SQL and NoSQL), Distributed systems and common Big Data technologies, Use of cloud-based platforms, ideally Azure and GCP
• Strong conceptual and analytical skills
• Excellent communication and consulting skills
• High degree of initiative and solution orientation
• Fluent in English

• Attractive remuneration based on your experience, skills and development
• Extensive trainings in your area of responsibility
• The opportunity to participate in the international projects and a significant influence on company IT development
• Private health insurance
• Food Allowance
• Committed to Diversity and Society: Support for employees with children with disabilities

Linde Material Handling is among the world leaders in the manufacturing of forklifts, warehouse trucks, and high-performance solutions for intralogistics, and has been part of the KION Group since 2006.