Data Scientist

Data Scientist

Oslo or Stavanger, Norway

C1 Norwegian required

We are working with a large multinational organisation that is continuing to invest heavily in advanced data and AI capabilities across Norway. Due to growing demand from both public and private sector projects, they are now looking to hire an experienced Data Scientist to join their high-performing teams in Oslo.

The Role

As a Data Scientist, you will work on complex, real-world problems where data, AI, and business strategy intersect. You’ll be involved across the full lifecycle — from exploration and modelling through to production and continuous improvement — often on large-scale, mission-critical solutions.

Key Responsibilities

• Design, develop and deploy advanced machine learning and AI models
• Work with structured and unstructured data at scale
• Build and optimise pipelines for model training, validation and deployment
• Collaborate closely with data engineers, architects and domain experts
• Contribute to AI initiatives including LLMs, RAG solutions and Agentic AI
• Deliver solutions across both public and private sector clients

Experience & Skills

• 3+ years’ experience in one or more of the following:
• Python, PyTorch
• Databricks, Microsoft Fabric
• MLOps, MetaFlow
• LLMs, RAG, Agentic AI
• Kubernetes, Kafka
• Strong understanding of machine learning principles and data modelling
• Experience working in production environments
• C1-level Norwegian (spoken and written) is essential

What’s On Offer

• Excellent salary packages well above market average
• Long-term, stable projects with real impact
• Work with cutting-edge AI and data platforms
• Career development within a global organisation
• Collaborative, highly skilled technical environment

Thank you for your interest in this opportunity. If your application is successful, we will contact you to discuss the position in more detail within 48 hours of receiving your CV. Please assume your application has been unsuccessful if you do not hear back from us within 48 hours.