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Equinor

Data Scientist - Agentic AI

Equinor is hiring a Data Scientist - Agentic AI. Level rates it ; you can apply on Equinor.

Level's read on this job

  • Builds AI ●●●● is how Level rates this data scientist role: the job is building AI systems.
  • The posting mentions LangGraph, CrewAI and AI safety among its tools and skills.
  • Equinor has 17 other open roles on Level.
  • Posted in the last few days.

AI in this role

langgraphcrewai
ai-safety

Important! To make sure your application is considered, please submit it before the end of the day on (dd.mm.yyyy):

18.11.2026

We encourage candidates to apply as soon as possible.

What does the job involve?Build the next generation of AI-powered solutions

Agentic AI is changing how organisations operate.
At Equinor, we're building intelligent systems that bring together language models, enterprise knowledge, data and business processes to help people work smarter and make better decisions.

We're looking for a Data Scientist who wants to work at the forefront of generative and agentic AI, delivering real solutions to real users.

Why join us?

This is not a research-only role and it is not a software engineering role.
You'll sit at the intersection of data science, AI engineering and product development, helping develop AI solutions that are deployed and used across the company.

You'll have the freedom to experiment, learn and apply new techniques as the field continues to evolve.

What will my tasks be?

Within this position, your key tasks will be to:

  • 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.

Here's what we expect from you:

At Equinor, there are some overall qualities we regard as essential. We want you to identify with the values that guide our decisions and help us succeed and grow: open, collaborative, courageous and caring. We expect you to make safety your priority and to contribute to our zero-harm culture. And for this specific position, we are also looking for:

What we think you bring

  • 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.

Nice to have

  • LangGraph, Microsoft Agent Framework (MAF), CrewAI or similar frameworks.
  • Azure AI Foundry, Azure AI services and cloud-native development.
  • Responsible AI, model safety and governance.

This role will give you:
  • Opportunities to work with some of the most challenging AI use cases in industry.
  • Access to large-scale enterprise and industrial data and access to modern AI platforms and technologies.
  • Strong technical communities and collaboration with experts across multiple disciplines.
  • A culture that values experimentation, learning and innovation.
  • The opportunity to shape how AI is applied within a company that plays an important role in European energy security and in the energy transition.

What can we offer you?

We want you to have a rewarding and fulfilling work life. That’s why we offer:

Not just a job - a career

In Equinor, your development begins on day one. You will build your competence through a wide range of learning activities while being empowered to build your career across multiple disciplines and geographies. Our internal job market allows a wide range of opportunities for development and growth within your own field, or even in other areas you find interesting and relevant.

Attractive rewards

We give you a comprehensive benefits package with a competitive salary, global parental leave, bonus scheme and pension plan.

Wellness and work-life balance

We care about and prioritise our employees’ well-being. We know that for you to be the best version of yourself in the workplace, being able to collect your children, attend a class or simply enjoy social time can be invaluable. That’s why we encourage you to make use of our flexible work arrangements wherever possible.

An inclusive culture

We believe embracing our differences makes us stronger. For us, true inclusion means being able to bring your whole self to work, and for you and everyone else to feel accepted and valued.

Equal opportunities for everyone

Equinor is an equal-opportunity employer. We make all employment decisions, which include hiring, promotion, transfer, demotion, termination, and training, without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, parental status, veteran status, or any other protected status.

As part of this commitment, reasonable adjustments will be made during the recruitment process for candidates with disabilities or long-term health conditions. If you have any specific requirements, please clarify this in your application and our team will be in contact to see how we can support your needs.

We also believe everyone should be paid fairly and consistently for their contribution to our collective success. To ensure fairness and transparency, positions at Equinor are evaluated using our global job architecture based on the position’s responsibilities, complexity, and impact, and regularly reviewed to ensure consistency and alignment across the organisation.

Important notes about the application process

We expect you to openly offer all relevant information about yourself during the recruitment process. Background checks are performed on all final candidates, and all permanent and temporary hires will be screened using relevant sanctions lists to ensure compliance with sanctions laws. When applying for a job in Norway you will be asked for information on affiliation to high-risk countries for a security assessment.

About Equinor

Equinor is an international energy company headquartered in Norway, energising the lives of 170 million people worldwide. Our ambition is to be a leading company in the energy transition and achieve net zero by 2050. Our task is enormous: supplying the world with the energy it needs, while lowering emissions to the atmosphere. To achieve it, we are looking for like-minded people to join our team of 25,000 colleagues working in more than 20 countries. We’re up for the challenge. Are you?

How we rate this

Data Scientist - Agentic AI at Equinor rates 84 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI SafetyLangGraphCrewAI

Also common in data scientist jobs at this level

Pay

Typical data scientist job
$167k

This posting doesn't list pay. Use the typical data scientist figure when pay comes up. See data scientist jobs

Questions you could be asked

  1. How do you think about the risk of an AI system in this kind of role failing silently?
  2. Walk me through how you've used LangGraph in your day-to-day work.
  3. What are the limits of CrewAI that you've run into, and how did you work around them?
  4. How would you decide a model or AI system is ready to ship?
  5. Tell me about a time a model underperformed in production. How did you find out, and what did you change?

Adapt your resume

  • List these exact terms on your resume: AI Safety, LangGraph, and CrewAI. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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