Data Scientist / Data Scientistess

Join Spur Insights

Spur Insights, located in Zurich, Switzerland, is at the forefront of developing Data Science, machine learning, and AI solutions designed to enhance the efficiency and reliability of industrial processes and machinery. Our innovative solutions are utilized across more than 100 countries, catering to diverse manufacturing sectors, including plastics, electronics, and converting industries.

From our office near Stauffacher Square in Zurich, the Spur Insights Data Science team collaborates closely with industrial clients around the globe. You will become a vital member of our international team of Data Scientists, focused on crafting and implementing cutting-edge Data Science algorithms for machine data.

Your Role

In this position, you will concentrate on designing, building, and deploying Large Language Model (LLM)–based solutions that effectively integrate machine data, operator knowledge, and industrial processes.

Your Responsibilities May Include:

• Developing Agentic-LLM solutions to capture, structure, and analyze machine documentation, operator input, and historical service data.
• Creating AI-driven self-diagnostic and advisory systems to identify wear and tear, detect impending mechanical issues, and correct machine settings.
• Designing natural language interfaces and reasoning layers to assist machine operators in troubleshooting, quality control, and energy efficiency decisions.
• Fine-tuning, evaluating, and integrating LLMs for industrial applications while emphasizing accuracy, robustness, and explainability.
• Working closely with clients to comprehend machine behavior, data availability, and operational constraints, translating these insights into scalable AI solutions.

You will engage in hands-on work throughout the entire lifecycle, from data exploration and model development to deployment and iterative improvements in real industrial settings.

What We Are Looking For:

• A strong foundation in Data Science with a clear emphasis on generative AI and LLM-based systems.
• Proficiency in Data Science-centric languages and environments such as Python, Jupyter, TensorFlow, or MATLAB.
• Knowledge of generative AI and LLM technologies.
• Effective communication skills and the ability to thrive in a collaborative team environment.
• An interest in or exposure to industrial data, machine engineering, or complex physical systems.

To apply, apply online using the form below. Only applications matching the job profile will be considered.