Agentic AI Data Scientist — Build Production AI Solutions

Equinor Company; Stavanger, Rotvoll, Bergen; Remote; NOK 700,000 - 1,100,000; Full time

Benefits offered by this job

Competitive salary

Bonus scheme

Pension plan

Job summary

Equinor is seeking a Data Scientist to join the Agentic AI team in Norway. You will design and deploy AI solutions that blend language models with enterprise data, collaborating across engineering and business domains.

The role sits at the intersection of data science, AI engineering and product development, focusing on practical, scalable AI deployments that deliver measurable value and user adoption.

Qualifications

• Masters or PhD in operations research, applied mathematics, computer science, data science, control/automation, engineering or a related discipline.
• Proven hands-on experience in data science, machine learning and AI development/deployment in production environment.
• Practical knowledge of modern language models, generative and Agentic AI.
• Strong analytical and problem-solving skills.
• Programming experience, preferably Python.
• Interest in emerging AI technologies and a desire to keep learning.

Responsibilities

• Design, develop and test agentic AI solutions.
• Develop prompting strategies, retrieval systems and evaluation approaches.
• Work with large language models and multimodel AI technologies.
• Collaborate closely with engineers, architects and business experts.
• Contribute to production deployment of AI solutions.
• Measure and improve solution performance, quality and user adoption.
• Help identify new opportunities where AI can create business value.

Skills

Data science

ML development

Python

Analytical thinking

Emerging AI tech

Education

Masters or PhD in operations research, applied mathematics, computer science, data science, control/automation, engineering

Relevant discipline

Tools

LangGraph

MAF

CrewAI

Azure AI Foundry

Job description

Equinor is seeking a Data Scientist to join the Agentic AI team in Norway. You will design and deploy AI solutions that blend language models with enterprise data, collaborating across engineering and business domains.

The role sits at the intersection of data science, AI engineering and product development, focusing on practical, scalable AI deployments that deliver measurable value and user adoption.