Data Scientist | IBM Client Innovation Center Germany GmbH: Data Scientist (m/w/d)

IBM Client Innovation Center Germany GmbH

Frankfurt am Main, Hessen, Deutschland
Published Mar 13, 2026
Full-time
No information

Job Summary

As a Data Scientist at IBM Consulting, you will be part of a high-impact team dedicated to solving complex business problems for global clients through advanced analytics and AI. Your day-to-day responsibilities involve the end-to-end data lifecycle, including cleansing, integrating, and analyzing complex data sources to deliver actionable insights. You will design, implement, and validate predictive and prescriptive models, utilizing machine learning and modern deep learning techniques like Generative AI. A significant portion of the role involves building scalable data pipelines and collaborating in agile environments with engineers and consultants. This position is particularly attractive due to its integration into the global IBM network, offering access to cutting-edge technology platforms like Red Hat and OpenShift. You will have the opportunity to influence business strategies by translating technical findings for senior executives, making it an ideal role for professionals who enjoy both technical depth and strategic communication.

Required Skills

Education

Bachelor's Degree in Mathematics, Computer Science, or a related field (Master's Degree preferred).

Experience

  • Professional experience in implementing and validating predictive and prescriptive machine learning models
  • Proven experience with AI and machine learning frameworks such as PyTorch or TensorFlow
  • Experience in DevOps and MLOps, including CI/CD pipelines and ML lifecycle management
  • Experience in developing scalable and robust data and machine learning pipelines
  • Experience in communicating technical insights to senior executives and stakeholders
  • Professional experience with Python programming and scripting

Languages

German (Fluent)English (Basic)

Additional

  • Must have C1 level German language skills. Experience with on-prem and cloud environments (Azure, AWS) and OpenShift architectures is preferred. Role requires working in an agile, collaborative delivery center environment.