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

IBM Client Innovation Center Germany GmbH

München, Bayern, Deutschland
Published Sep 19, 2025
Full-time
No information

Job Summary

As a Data Scientist at IBM's Client Innovation Center, you will leverage cutting-edge and open-source tools like Python, R, and TensorFlow, alongside IBM's AI application suites, to solve complex business problems. Your daily tasks will involve preparing, analyzing, and interpreting data to generate insights, predict trends, and provide actionable recommendations to stakeholders. You will be responsible for implementing and validating predictive and prescriptive models, creating statistical models with a focus on big data and machine learning, and developing robust machine learning pipelines. This role requires applying both traditional and modern deep learning approaches, including GenAI. You will thrive in an agile, collaborative environment, partnering with diverse teams to bring analytical rigor to behavioral prediction challenges. Effective documentation and communication with both technical and non-technical audiences are crucial for defining business needs, presenting solutions, and evaluating model results. This position offers the opportunity to work with innovative technologies and contribute to groundbreaking impact for a wide network of clients.

Required Skills

Education

Bachelor's Degree (Required), Master's Degree (Preferred)

Experience

  • Professional experience with predictive/prescriptive modeling skills
  • Professional experience with programming/scripting in a language such as Java or Python
  • Professional experience in an agile, collaborative environment
  • Interest in, understanding of, or experience with Design Thinking and Agile Development Methodologies (Preferred)
  • Good understanding in MLOps and related tools such as IBM Cloud Pak 4 Data, JupyterLab, Git, Docker, Helm, FastAPI, REST (Preferred)
  • Good understanding of cloud and container technology (Red Hat OpenShift, AWS, Azure, etc) (Preferred)
  • Familiarity constructing usable data sets from multiple structured and unstructured data sources (Preferred)
  • Knowledge in the banking and financial services industry (Preferred)

Languages

German (Fluent)

Additional

  • German or European Union citizenship