Graduate 2027: Life Cycle Data Services

About this job

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 co

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