Data Scientist - Agentic AI

Equinor ASA

Sandsliveien 90, 5254 Sandsli

søknader: 3 søknader
visninger: 37 visninger
Frist: Frist: 18.11.20266 dager igjen

Logg inn for å bruke Auto-Apply

CV-treff

Din CV?%

Kun forhåndsvisning — vi beregner hvor godt du matcher denne jobben så snart du har en CV. Legg til CV

Stillingsbeskrivelse

About the job

Equinor ASA is seeking a Data Scientist to work on the next generation of AI-powered solutions in the field of Agentic AI. This role sits at the intersection of data science, AI engineering, and product development, delivering real-world AI solutions across the company.

Responsibilities

Design, develop, and test agentic AI solutions.
Develop prompting strategies, retrieval systems, and evaluation approaches.
Work with large language models and multimodal AI technologies.
Collaborate closely with engineers, architects, and business experts.
Contribute to the production deployment of AI solutions.
Measure and improve solution performance, quality, and user adoption.
Help identify new opportunities where AI can create business value.

Qualifications

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 a production environment.
Practical knowledge of modern language models, generative and agentic AI.
Strong analytical and problem-solving skills.
Programming experience, preferably in Python.
Interest in emerging AI technologies and a desire to keep learning.

Personal qualities

We expect you to align with Equinor’s values: open, collaborative, courageous, and caring. Safety is a priority, and you should contribute to our zero-harm culture.

We offer

Opportunities to work with some of the most challenging AI use cases in industry.
Access to large-scale enterprise and industrial data and 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 playing a key role in European energy security and the energy transition.

How to apply

Apply by Wednesday, 18 November 2026. For more information, visit the application page.

Contact

For questions regarding the application process, please refer to the application page.

Krav

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 a production environment.
Practical knowledge of modern language models, generative and agentic AI.
Strong analytical and problem-solving skills.
Programming experience, preferably in Python.

Ferdigheter

Data ScienceMachine LearningAI DevelopmentPythonLarge Language ModelsAgentic AIMultimodal AIPrompt Engineering

Lønn

850 000 kr per år

Estimert lønn. Kan avvike fra lønnen arbeidsgiver tilbyr.

Erfaring

senior

Spørsmål og svar

Hvem er Equinor ASA?

Stiftet: 18. september 1972
Ansatte: 21 272
Hovedkontor: Stavanger
Avdelinger: 35 steder: Ågotnes, Rjukan, Kopervik, Harstad, Kristiansund N, Stavanger, Oslo, Trondheim, Luster, Hammerfest, Sandvika, Sandsli
Bransje: Utvinning av råolje
Organisasjonsform: Allmennaksjeselskap
Org.nr.: 923 609 016

Kilde: Enhetsregisteret

Hvor mange stillinger har Equinor ASA lyst ut de siste 90 dagene?

Equinor ASA har lyst ut 31 stillinger de siste 90 dagene.

Se andre stillinger fra bedriften

Hvor mange lignende stillinger er lyst ut de siste 90 dagene?

Det er lyst ut 23 lignende stillinger de siste 90 dagene.

Hvor mange stillinger etterspør hver av ferdighetene i denne annonsen?

Ferdighetene avgjør hvor mange stillinger du i det hele tatt kan søke på. Søylene viser hvor mange stillinger som er lyst ut de siste 90 dagene for hver enkelt ferdighet i denne annonsen — ikke bare her, men på hele Autosøk. De lengste søylene er ferdighetene arbeidsmarkedet etterspør bredest, og de er verdt å løfte fram øverst i CV-en og søknaden. De korteste er nisjeferdigheter: de gir færre treff, men også færre konkurrenter når de først etterspørres.