Data Scientist — Agentic AI for Production Solutions

Equinor; Bergen; On-site; NOK 900,000 - 1,300,000; Full time

Benefits offered by this job

Competitive salary

Global parental leave

Bonus scheme

Pension plan

Flexible work arrangements

Job summary

Equinor is seeking a Data Scientist to advance generative and agentic AI across the enterprise, building AI solutions that combine language models, data and business processes to empower smarter decisions. You will sit at the intersection of data science, AI engineering and product development, shaping applied AI in production with the freedom to experiment and learn as the field evolves.

The role emphasizes collaboration, safety and responsible AI, with opportunities to work on challenging use

Qualifications

• Masters or PhD in operations research, applied mathematics, computer science, data science, control/automation, engineering or a related discipline.
• Hands-on experience in data science, machine learning and AI deployment in production.
• 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

Masters/PhD degree

Hands-on data science

AI deployment

Analytical skills

Python programming

Lifelong learning

Education

Masters or PhD in a relevant field

Tools

LangGraph

Microsoft Agent Framework (MAF)

CrewAI

Azure AI Foundry

Azure AI services

Job description

Equinor is seeking a Data Scientist to advance generative and agentic AI across the enterprise, building AI solutions that combine language models, data and business processes to empower smarter decisions. You will sit at the intersection of data science, AI engineering and product development, shaping applied AI in production with the freedom to experiment and learn as the field evolves.

The role emphasizes collaboration, safety and responsible AI, with opportunities to work on challenging use