Associate Data Scientist (m/w/d)

International Business Machines Corporation; München; On-site; EUR 65,000 - 90,000; Full time

Job summary

IBM Consulting is seeking an Associate Data Scientist to solve business problems using Python, GenAI, and open-source tools within the Hybrid Cloud & Data service line. You will prepare, analyze, and understand data to deliver insights, predict trends, and provide recommendations to stakeholders.

You will collaborate with engineers, consultants and clients in an agile environment, applying AI/ML techniques and ensuring governance.

Qualifications

• Strong fundamentals in Mathematics and/or Computer Science (algorithms).
• GenAI and agentic AI architectures (RAG, agentic patterns); AI and ML frameworks (e.g. PyTorch); DevOps and MLOps (CI/CD pipelines, ML lifecycle/deployment).
• Strong technical and analytical abilities; programming in Python.
• Excellent problem-solving, debugging, and solution design for complex technical issues.
• Teamwork and consulting mindset; fluent German (C1).

Responsibilities

• Analyze, prepare and manage complex data sources.
• Develop and validate predictive and prescriptive models; build scalable ML pipelines.
• Write programs to cleanse and integrate data efficiently.
• Apply traditional ML and modern deep learning methods (GenAI).
• Document and communicate results to technical and non-technical stakeholders.

Skills

Math/CS fundamentals

GenAI architectures

Python programming

Consulting mindset

German language skills

AI governance & monitoring

Tools

PyTorch

Red Hat OpenShift

AWS

Azure

CI/CD tooling

Job description

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

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. 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 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.

Required technical and professional expertise

• Strong fundamentals in Mathematics and/or Computer Science (algorithms).
• Solid knowledge and experience in GenAI 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.
• You're great at solving problems by looking at things differently, debugging, troubleshooting, and designing & implementing solutions for complex technical issues.
• You thrive on teamwork, you have excellent verbal and written communication skills and, importantly, a consulting mindset.
• Excellent verbal and written German language skills (minimum C1 level).

Preferred technical and professional experience

• You have a good understanding of cloud and container technology (such as Red Hat OpenShift, AWS, Azure, etc.).
• You have experience in AI governance and monitoring.

IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.