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Equinor

Data Scientist

Equinor

. Design, develop and test agentic AI solutions .

Posted 11/4/2026full-timeOslo • NorwayMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and deploying agentic AI solutions, with a strong foundation in data science, machine learning, and modern language models. Proven ability to collaborate effectively with cross-functional teams while prioritizing safety and governance in AI applications.

Highest-signal resume keywords
Masters Or PhD In Operations ResearchData Science ExperienceMachine Learning DevelopmentPython ProgrammingGenerative And Agentic AI Knowledge

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
AI DevelopmentMachine LearningData ScienceProgrammingAnalytical SkillsProblem-SolvingPrompting StrategiesRetrieval SystemsEvaluation ApproachesSolution Performance Measurement
Soft Skills
CollaborativeCourageousCaringOpen-Minded
Tools & Technologies
LangGraphMicrosoft Agent FrameworkCrewAIAzure AI FoundryAzure AI Services
Industry Keywords
Agentic AIGenerative AIModel SafetyGovernanceZero-Harm Culture

Tech Stack

Tools & technologies
AzureCloudPython

About the role

Key responsibilities & impact
  • 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
  • Identify new opportunities where AI can create business value

Requirements

What you’ll need
  • 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
  • Open, collaborative, courageous and caring values
  • Safety priority and contribution to a zero-harm culture
  • Nice to have: LangGraph, Microsoft Agent Framework (MAF), CrewAI or similar frameworks
  • Nice to have: Azure AI Foundry, Azure AI services and cloud-native development
  • Nice to have: Responsible AI, model safety and governance
  • Background checks for all final candidates
  • Sanctions-list screening for permanent and temporary hires
  • Applicants for jobs in Norway will be asked for information on affiliation to high-risk countries for a security assessment

Benefits

Comp & perks
  • Competitive salary
  • Global parental leave
  • Bonus scheme
  • Pension plan
  • Flexible work arrangements
  • Wide range of learning activities and career development opportunities
  • Access to large-scale enterprise and industrial data
  • Access to modern AI platforms and technologies
  • Strong technical communities and collaboration with experts across multiple disciplines
  • Culture valuing experimentation, learning and innovation
  • Reasonable adjustments during recruitment for candidates with disabilities or long-term health conditions