Data Scientist: Agentic AI for Enterprise Solutions

Equinor; Oslo fylke; On-site; NOK 900,000 - 1,150,000; Full time

Job summary

Equinor is seeking a Data Scientist to build the next generation of AI-powered solutions across the enterprise, combining language models, knowledge assets and business processes to help people work smarter and make better decisions.

You will operate at the intersection of data science, AI engineering and product development, delivering deployed AI solutions with opportunities to experiment and learn as the field evolves.

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

Machine learning

AI deployment

Python

Education

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

Job description

Equinor is seeking a Data Scientist to build the next generation of AI-powered solutions across the enterprise, combining language models, knowledge assets and business processes to help people work smarter and make better decisions.

You will operate at the intersection of data science, AI engineering and product development, delivering deployed AI solutions with opportunities to experiment and learn as the field evolves.