DATA SCIENTIST WITH A PASSION FOR LANGUAGE, LOGIC, AND LARGE LANGUAGE MODELS

To support our continued growth and innovation, we are seeking a Data scientist to join our team in Aarhus. This is a unique opportunity to combine your love of language, structure, and data models, to help shape how we use LLMs, and other machine learning technologies in customer-facing solutions.

WHO WE ARE

Founded in a garage in 2016 and now headquartered in the heart of Aarhus, Adversus is a fast-growing SaaS company with a talented team of +50 colleagues. We’ve established ourselves as a leading provider of cloud-based call center software, serving customers in more than 35 countries across the globe. We build smart, scalable solutions—and we always seek new ways to work smarter, not harder.

WHAT YOU WILL BE DOING

As our Data Scientist, you will help design, test, evaluate and refine the technologies that drive accurate, useful, and creative outputs from machine learning models. You’ll collaborate closely with developers, product managers, and customer-facing teams to ensure our AI features are reliable, effective, and aligned with real-world needs.
You will play a critical role in unlocking the full potential of AI across our platform, helping our customers with automated workflows, content creation, quality assurance, and improving their interactions with our platform.

KEY RESPONSIBILITIES

• Craft, and iterate on effective inputs to power AI-driven features
• Collaborate with development teams to integrate AI outputs into product workflows
• Evaluate model behavior, identify edge cases, and propose improvements
• Maintain libraries and documentation for internal use
• Explore fine-tuning, embeddings, and retrieval techniques to improve performance
• Stay up-to-date with AI advancements and bring fresh ideas to the team
  If you’re a language lover, systems thinker, and AI enthusiast ready to turn creativity into capability, we’d love to hear from you!
  For more information or questions please contact us at krk@adversus.io or phone number +45 30300230