A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe.
including Software and Red Hat.
Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience.
In this role, you will work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. This position will be based within the Hybrid Cloud & Data service line. As an Associate Data Scientist at IBM, you will work to solve business problems using leading edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools and our AI application suites. You will prepare, analyze, and understand data to deliver insights, predict emerging trends, and provide recommendations to stakeholders. Analysis, preparation and management of complex data sources
Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data & incorporating machine learning techniques in your projects
Writing programs to cleanse and integrate data in an efficient and reusable manner
Development of scalable and robust data and machine learning pipelines
Application of traditional machine learning algorithms as well as modern deep learning approaches (such as GenAI)
Documentation and communication with internal and external clients (e.g. business and IT departments) and stakeholders to understand and define business needs and appropriate modelling techniques to provide analytical solutions as well as presentation of proposed solutions and results.
Bachelor's Degree
Solid knowledge and experience in GenAI and agentic AI architectures (RAG, agentic patterns, etc.), PyTorch), DevOps and MLOps (CI/CD pipelines, ML lifecycle / deployment, etc.).
You have strong technical and analytical abilities, a knack for driving impact and growth, and experience with programming/scripting in a language such as Python.
Excellent verbal and written German language skills (C1 level).
You have a good understanding of cloud and container technology (such as Red Hat OpenShift, AWS, Azure, etc.).