Graduate 2027: Life Cycle Data Services

Graduate 2027: Life Cycle Data Services - arbeidsplassen.no
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.
Need to have
– Master’s degree in Industrial Economics, Data Science, Cybernetics, Computer Science, or Electrical/Mechanical Engineering.
– Basic data processing skills (SQL, Python or equivalent).
– Strong understanding of data analysis and data structuring.
– Fluent in both Norwegian and English for professional communication and collaboration with operational teams.
– Holds a valid EEA work permit.
Nice to have
– Experience from internships, summer jobs, or academic projects within data, engineering, digital twin, or AI.
– Working knowledge of Power BI, Python, and SQL for developing dashboards, analyzing data, and building automations.
– Curiosity about how data is actually used in practice, motivated by solving concrete operational problems.
– Structured and analytical approach, collaborating actively with domain experts.
– Eagerness to connect systems, understand complex relationships, and deliver practical value from data.
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.
– 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.
Your journey in Life Cycle Data Services
This program provides a clear progression, allowing you to develop from supporting data initiatives to leading advanced AI and data projects that directly impact our operations.
– 0-3 Months: Foundation
Learn core systems, data usage patterns, and support initial analyses, data quality work, and simple automations. Familiarize yourself with AI tools and team applications.
– 6-12 Months: Ownership
Take ownership of analyses and dashboards, contribute to concrete data improvements, and develop basic AI/automation solutions.
– 12-18 Months: Leadership
Lead your own data and AI initiatives, acting as a bridge between domain experts and digital functions to identify and implement improvement opportunities.
– Collaborative alignment
Engage with Maintenance, Engineering, and Digital teams to align data solutions with operational needs.
– Digital twin application
Work with digital twins and Aize visualization to make complex technical information intuitive and actionable.
– End-to-end data impact
Influence the entire data value chain, from engineering data structuring to its practical use in operations.
What we offer
– Professional development
We are committed to providing graduates with varied experience and enhancing your expertise, helping you build a strong CV for the future.
– Competitive compensation
We offer a competitive salary, an opportunity to earn bonuses, a share savings programme, and a solid pension scheme.
– Work-life balance
We value good health and work-life balance, offering good cafeterias, work-out facilities, and flexibility in working hours and location to support your graduate journey.
– Employee well-being
We ensure you get support from our company health service and insurance programmes should anything happen.
– Diverse & Inclusive environment
We are convinced diversity is important for success, and everyone should feel involved, included, and respected. Our offices are designed to be universally accessible for all.
– Young professional network
Access to a vibrant network of peers and mentors to support your career growth and integration.
Our culture & vision
– SAFER values
Our foundation is built on being Seekers, Accountable, Foreseeable, Engaged, and Respectful in everything we do.
– AI-first mindset
We are an AI-first company, committed to leading our industry in AI adoption and unlocking its transformative power.
– ONETEAM culture
Cooperation is at our core; working with us means being part of our collaborative 'ONETEAM' culture.
– Safety priority
We put safety first in all operations and expect the same commitment from every team member.
\*\*Locations:\*\*Stavanger, Oslo and Trondheim
Application process
Application deadline: 23.08.2026
If you are currently enrolled in a master’s program, you can send a preliminary grade transcript.
Background checks will be performed, following consent from relevant candidates. Furthermore, an assessment of affiliation to high-risk countries is carried out as part of the recruitment process for all positions in Aker BP.
Contact information: [email protected]