Autosøk

Graduate 2027: Life Cycle Data Services

Need to have

Munkegata 26, 7014 Trondheim, Norway, 7014 Trondheim

Stillingsbeskrivelse

Graduate 2027: Life Cycle Data Services

Are you passionate about transforming engineering data into operational intelligence through AI and innovative solutions? Join our Graduate Program – a cornerstone of our ambition to lead the energy transition and become the first AI-native E&P company.

About the job

This is not just a graduate program; it's the start of your journey to redefine how a major industrial company leverages its data. As a Life Cycle Data Services Engineer in our 2027 Graduate Program, you will be at the forefront of Aker BP's ambition to become the world's first AI-native E&P company. You will focus on structuring, quality assuring, and making engineering data accessible, contributing directly to operational efficiency and our goal of a 3x productivity improvement.

Key Responsibilities:

  • Data structuring & QA: Work with structuring and quality assurance of engineering data (LCI) across systems (SAP, EB, Aize).
  • Digital twin & Visualization: Contribute to making technical information more accessible and understandable through visualization and digital models (digital twin).
  • Dashboard & Analytics development: Develop and maintain dashboards and analyses (Power BI) that support decision-making in operations and projects.
  • Data analysis & Automation: Use SQL/Python to analyze data, identify errors, and build simple automations.
  • AI & Automation implementation: Implement AI and automation to classify data, detect quality deviations, and extract insights from technical documentation.
  • Cross-functional collaboration: Collaborate closely with Maintenance, Engineering, and Digital/ADA teams to translate needs into digital solutions.

What we offer

  • Professional development and a strong CV for the future.
  • Competitive compensation, bonuses, share savings programme, and a solid pension scheme.
  • Work-life balance with flexible hours, cafeterias, and work-out facilities.
  • Employee well-being support through health services and insurance.
  • A diverse, inclusive, and collaborative 'ONETEAM' culture.
  • Access to a vibrant network of peers and mentors.

Krav

  • Master’s degree in Industrial Economics, Data Science, Cybernetics, Computer Science, or Electrical/Mechanical Engineering.
  • Basic data processing skills in SQL, Python or equivalent.
  • Strong understanding of data analysis and data structuring.
  • Fluent in both Norwegian and English for professional communication and collaboration.
  • Holds a valid EEA work permit.

Ferdigheter

SQLPythonData AnalysisPower BIData StructuringAI/Automation implementationDigital Twin technology

Erfaring

entry-level

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