Data Scientist / AI Consultant (m/w/d)

IBM; Köln; Vor Ort; EUR 90.000 - 130.000; Vollzeit

Zusammenfassung

IBM Consulting offers a global platform for creativity and impact in data science and AI. In this role, you will tackle business problems with open-source tools like Python, R, and TensorFlow, alongside IBM's AI suites.

You will build and validate models, develop scalable data pipelines, and communicate insights to executives and stakeholders in German and English. You will collaborate with cross-functional teams to translate business needs into analytical solutions and help shape AI strategy

Qualifikationen

• Strong fundamentals in mathematics and/or computer science (algorithms).
• Proven knowledge of AI/ML frameworks (e.g. PyTorch) and GenAI architectures.
• Experience communicating insights to executives and non-technical audiences.

Aufgaben

• Analyze, prepare, and manage data to deliver insights and predictions.
• Develop and validate predictive and prescriptive models with big data considerations.
• Build scalable data and ML pipelines and monitor AI/ML models.
• Collaborate across interdisciplinary teams to translate business needs into modelling approaches.
• Present analytical results to technical and non-technical stakeholders.

Kenntnisse

Mathematics / Computer Science

AI / ML frameworks (PyTorch)

GenAI & agentic AI

Data analysis storytelling

German language (C1)

Ausbildung

Master's Degree

Tools

PyTorch

Azure Foundry

Jobbeschreibung

Introduction

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

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

As a Data Scientist / AI Consultant 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. In your role, you may be responsible for:

• 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)
• Implementation, integration and monitoring of AI / ML models
• Working in an agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours
• 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)
• Proven knowledge and experience in
  • AI and ML frameworks (e.g. PyTorch)
  • GenAI and agentic AI architectures (RAG, agentic patterns, etc.)
  • AI governance and monitoring
• Strong ability to communicate with and coach senior executives, translating technical insights into business strategy
• You have strong technical and analytical abilities, a knack for driving impact and growth, and experience with programming/scripting in Python.
• You're great at solving problems by looking at things differently, debugging, troubleshooting, and designing & implementing solutions to complex technical issues.
• You thrive on teamwork and have excellent verbal and written communication skills.
• Excellent verbal and written German language skills (C1 level)

Preferred Technical And Professional Experience

• Azure platform expertise, ideally with Azure Foundry and related AI/ML services
• Experience in DevOps and MLOps, including CI/CD pipelines, ML lifecycle management, and deployment
• Background in the chemical or process industry, with awareness of domain-specific challenges and data
• Understanding of AI governance, safety, and ethical considerations
• Experience in consulting or client-facing roles with a focus on value realization through AI
• Demonstrated ability to scale AI solutions from prototype to production and integrate across enterprise systems