Introduction
In this role, youll 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 the around world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
A career in IBM Consulting embraces long-term relationships and close collaboration with clients across the globe.
Youll work with visionaries across multiple industries to improve the hybrid 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 IBM Software and Red Hat.
Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, youll 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.
Your Role And Responsibilities
As a 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 insight, predict emerging trends, and provide recommendations to stakeholders. In your role, you may be responsible for:
- Implementing and validating AI-models and creating and maintaining statistical models with a focus on big data & incorporating machine learning.
- Writing programs to integrate data in an efficient and scalable manner
- 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 AI to the challenges of predicting behaviors
- Communicating with internal and external clients to understand and define business needs and appropriate modelling techniques to provide analytical solutions.
- Evaluating modelling results and communicating the results to technical and non-technical audiences.
What we offer
- Individual career path
- Access to countless trainings and certification offerings
- A knowledge sharing culture
- A worldwide community of experts and expertise
- An environment where you are actively contributing your ideas
- The possibility to work in projects in one of the largest IT companies
Preferred Education
Master's Degree
Required Technical And Professional Expertise
- Bachelor's or preferably a Masters degree in Computer Science, Statistics, Mathematics, Engineering, or a related field.
- Deep Understanding of Machine Learning & AI.
- Excellent command of Python programming, preferably other programming languages like JavaScript.
- At least 3 years of professional experience in AI & Data Science.
- Experienced with containerization technologies (Docker/Kubernetes).
- Proven experience in working with GitHub or similar engineering collaboration and version control platforms.
- Deep expertise about Large Language Models (LLMs) and Transformers.
- Proven experience with Agentic AI frameworks and Retrieval Augmented Generation (RAG).
- Hands-on exposure to Model Context Protocol (MCP) & Agent-2-Agent (A2A) Protocols.
Interpersonal skills
- Strong Interpersonal skills that enhance collaboration and relationship building, while also managing dynamic workloads in an agile environment.
- Have initiative and passion to actively seek new knowledge and improve skills while embracing a growth mindset to assimilate diverse viewpoints.
- Demonstrate leadership experience and ability to communicate effectively through active listening; while also be willing to adapt and have a readiness to take ownership of tasks and challenges.
- Fluent in English and German written and spoken.
- Swiss / EU nationality or valid Swiss work permit.
Preferred Technical And Professional Experience
- Fluent in German and English written and spoken.
- Swiss / EU nationality or valid Swiss work permit.
