Data Scientist: Agentic AI for Real-World Impact

Equinor ASA; Bergen; On-site; NOK 900,000 - 1,100,000; Full time

Benefits offered by this job

Global parental leave

Pension plan

Bonus scheme

Job summary

Equinor ASA in Norway is seeking a Data Scientist to shape the next generation of AI-powered solutions in an enterprise context. You will work at the intersection of data science, AI engineering and product development, building systems that leverage language models, enterprise knowledge and business processes to help people work smarter.

This role is not pure research or software engineering; you will deploy solutions across the company, experiment with new techniques, and contribute to

Qualifications

• Master's or PhD in CS, data science, engineering or related discipline.
• Hands-on experience in data science, ML and AI deployment in production.
• Programming experience, preferably Python.
• Knowledge of modern language models, generative and Agentic AI.
• Familiarity with LangGraph, MA Framework, CrewAI, Azure Foundry or Azure AI services.

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

Machine learning

Python

Language models

Generative AI

Agentic AI

Data science

Model deployment

Education

Master's degree

PhD

Tools

LangGraph

MA Framework

CrewAI

Azure Foundry

Azure AI services

Job description

Equinor ASA in Norway is seeking a Data Scientist to shape the next generation of AI-powered solutions in an enterprise context. You will work at the intersection of data science, AI engineering and product development, building systems that leverage language models, enterprise knowledge and business processes to help people work smarter.

This role is not pure research or software engineering; you will deploy solutions across the company, experiment with new techniques, and contribute to