Are you interested in working at the intersection of data, engineering and artificial intelligence?

As a Summer Intern, during summer 2027, you will get the opportunity to work hands-on with operational and engineering data from our FPSO fleet. You will contribute to data pipelines, AI-powered tools and internal applications that support teams across operations, supply chain and engineering.

Duties

• Work hands-on with operational and engineering data from our FPSO fleet.

• Build Python pipelines to extract and clean it, then analyse it and help define the engineering and system logic behind metrics and reports.

• Contribute to AI assistants and agent workflows built on top of our data, e.g. root-cause analysis, document Q&A and process automation.

• Our core platform is Databricks. Prior experience is a plus, not a requirement.

• You'll help build small internal apps on top of it (Databricks Apps / Streamlit) that speed up processes for operations, supply chain and engineering teams.

Qualifications

• MSc students or Bachelor`s students in their third or fourth year of study.

• Good software engineering understanding. Python and SQL are our main languages. AI coding tools are welcome, but we expect you to own the logic behind what they produce.

• Comfort with data wrangling and basic statistics.

• Hands-on experience with LLM APIs (OpenAI, Anthropic or similar).

• The ability to turn a vague engineering or business question into a concrete analysis.

Personal Qualities

For this internship, we believe you will thrive if you are:

• Curious and eager to learn

• Analytical and structured

• Comfortable working independently on technical problems

• Proactive and willing to take ownership

• Interested in understanding both the technical and business context behind the data

• Comfortable collaborating with people across different disciplines

What you'll learn

During the internship, you will gain practical experience working with operational and engineering data in an FPSO environment. You will have the opportunity to develop your skills in Python, SQL, data analysis and AI while seeing how these technologies can be applied to real engineering and business challenges.

You will also gain insight into how data and AI can support operations, supply chain and engineering teams.

Contact & Application:

Applications will be reviewed on an ongoing basis, so we encourage you to apply as soon as possible. For any questions regarding this role, please contact our Digital Solutions Analyst, Khagan Azizov, on [email protected].