Data Scientist Innovation Leader

1 month ago


Århus, Århus Kommune, Denmark Stibo Systems Full time

We are seeking a Data Scientist to join our Innovation Team at Stibo Systems. As a key player, you will leverage Small Language Models (SLMs) to empower and optimize master data processes.

The role focuses on developing and deploying advanced models that improve data quality, automate complex workflows, and recommend the next best action in data management tasks. By harnessing the power of agentic workflows, you'll help transform how businesses handle their data within our multidomain MDM platform STEP and our cloud-based Data-as-a-Service offerings.

Responsibilities include exploring the potential of SLMs to solve automation and data management challenges, designing and implementing agentic workflows, training and fine-tuning SLMs using live data from our enterprise customers, and collaborating with DevOps teams to deploy and integrate these models across our cloud environments.

You will be part of a global Innovation Team, working alongside talented professionals from Denmark, England, Germany, the United States, and beyond. Our agile team embraces rapid prototyping, co-innovation, and close collaboration with clients to bring new solutions to life.

In this role, you will have the opportunity to work with cutting-edge technologies, including Python, Small Language Models, agentic workflows, machine learning libraries, Docker, Kubernetes, and Azure cloud environments.

To succeed in this position, you should have a strong foundation in data science, computer science, or a related field, with a focus on machine learning and AI. A master's degree is preferred, along with 3-5 years of experience in AI/ML or recent graduation from a relevant program. Experience with the Microsoft Azure AI stack and knowledge of microservices and cloud platforms are also desirable.

At Stibo Systems, we offer a flexible hybrid work model, a multicultural, international team, career opportunities across the globe, and access to online learning platforms for continuous upskilling. We value data-driven thinking, creativity, curiosity, and analytical skills, and strive to create an inclusive environment where every data mind thrives.


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