Associate Data Scientist

Introduction

A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe.

You will work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio, including Software and Red Hat.

Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you will be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground‑breaking impact for a wide network of clients. 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. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.

Your Role And Responsibilities

• 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 and 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 Gen AI)
• Implementation, integration and monitoring of AI/ML models
• Working in an agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators from all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors
• 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
• Evaluating modelling results and communicating the results to technical and non‑technical audiences

Preferred Education

Master's Degree

Required Technical And Professional Expertise

• Strong fundamentals in Mathematics and/or Computer Science (algorithms)
• Solid knowledge and experience in Gen AI and agentic AI architectures (RAG, agentic patterns, etc.), AI and ML frameworks (e.g., PyTorch), DevOps and MLOps (CI/CD pipelines, ML lifecycle / deployment, etc.)
• Strong technical and analytical abilities, a knack for driving impact and growth, and experience with programming/scripting in a language such as Python
• Excellent problem‑solving skills: looking at things differently, debugging, troubleshooting, and designing & implementing solutions for complex technical issues
• Team‑oriented mindset, excellent verbal and written communication skills, and a consulting mindset
• Excellent verbal and written German language skills (C1 level)

Preferred Technical And Professional Experience

• Good understanding of cloud and container technology (such as Red Hat OpenShift, AWS, Azure, etc.)
• Experience in AI governance and monitoring