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Data Scientist - Agentic AI

Reads like an AI Engineer role: building products on existing AI models.

Pay
Pay not listed
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting
  • Design, develop and test agentic AI solutions

  • Develop prompting strategies, retrieval systems and evaluation approaches

  • Work with large language models and multimodal AI technologies

  • Contribute to production deployment of AI solutions

  • Measure and improve solution performance, quality and user adoption

From the employer’s posting
Design, develop and test agentic AI solutions.
Develop prompting strategies, retrieval systems and evaluation approaches.
Work with large language models and multimodel AI technologies.
Contribute to production deployment of AI solutions.
Measure and improve solution performance, quality and user adoption.

What you’ll bring

All qualifications

Core experience

  • Master's or PhD in a quantitative or engineering discipline
  • Proven hands-on experience in ML and AI development and deployment in production
  • Practical knowledge of modern language models, generative and agentic AI
  • Strong analytical and problem-solving skills
  • Programming experience, preferably Python
Qualification wording
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.
Education & alternatives
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.

About Equinor

Equinor is an international energy company headquartered in Norway, energising the lives of 170 million people worldwide.

In the employer’s words · Read in context

Apply at Equinor

Posting record

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Actively hiringFirst seen by us 4 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 9, 20264 days ago
Recorded sightings
5
Last seen by us
Nov 13, 2026
Employer says posted
Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 4

Similar jobs usually come down between day 4 and day 77.

From 51 similar postings that came down. Coming down is not always a hire.

Equinor is hiring

1 open job

Open jobs by the week we first saw them, last 12 weeks.

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • Azure
Where the posting names them
- Strong analytical and problem-solving skills. - Programming experience, preferably Python. - Interest in emerging AI technologies and a desire to keep learning.
- 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.

Your next step

Complete your application on equinor.wd3.myworkdayjobs.com. The employer’s form will show what is required.

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Already applied? Track this application

Demand for AI Engineer roles

New AI Engineer postings at the employers we follow are up 134% over the last 6 weeks compared with the 6 before.

Weekly new AI Engineer postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 7, the most 65, and the latest week had 65.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under AI Engineer, by the work the posting describes.

AI engineers build products on top of AI models that already exist, most often large language models: they connect a model to a company's data and tools and ship the assistants, agents and search features people use.

Postings ask for strong Python or TypeScript, experience with model APIs, retrieval and agent frameworks, and ways to test whether the model's answers are good enough.

An ML engineer trains and serves models; an AI engineer usually starts from a model someone else trained and builds the product around it, though titles often mix the two.

Job description

View original posting ↗

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?

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Location & working pattern

Sandsli, Norway

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