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.
Need to have
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Master’s degree in Industrial Economics, Data Science, Cybernetics, Computer Science, or Electrical/Mechanical Engineering.
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Basic data processing skills (SQL, Python or equivalent).
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Strong understanding of data analysis and data structuring.
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Fluent in both Norwegian and English for professional communication and collaboration with operational teams.
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Holds a valid EEA work permit.
Nice to have
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Experience from internships, summer jobs, or academic projects within data, engineering, digital twin, or AI.
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Working knowledge of Power BI, Python, and SQL for developing dashboards, analyzing data, and building automations.
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Curiosity about how data is actually used in practice, motivated by solving concrete operational problems.
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Structured and analytical approach, collaborating actively with domain experts.
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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.
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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.
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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
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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
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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: Recruitment@akerbp.com
Om Aker BP
Our offering
As a graduate at Aker BP, you will have an unique opportunity to launch your career in a highly skilled environment with significant impact. You will join a company at the forefront of digitalisation, actively leveraging AI and new technologies to develop smarter ways of working and shape the future of energy.
Through our structured graduate programme, you will work closely with experienced professionals, take ownership of real-world challenges, and contribute to meaningful projects. We believe AI will transform how we work, make decisions, and create value and we want our graduates to be part of driving this transformation.
We are looking for curious, motivated, and eager-to-learn individuals who want to challenge established ways of working and help shape how people and technology create value together in the future.
Aker BP uses AI-assisted review as part of the recruitment process. AI is used to structure and summarise information – all decisions are made by people. Please ensure that the documentation you submit only contains personal data that is necessary and relevant for assessing your qualifications and for completing the recruitment process. Do not include or share personal data that is not relevant, or that Aker BP does not need to access or process.