Junior Data Scientist, Petroleum Engineering & Well Integrity

Are you graduating with an engineering or quantitative degree and want to apply data science to real problems in the energy industry? IPT Global builds well integrity solutions used by operators to verify that wells are safe, and we're looking for an early-career data scientist to join our Data Science team.
You'll work alongside senior data scientists on the data behind well barrier assurance: pressure tests, cement evaluations, annulus pressure histories, and sensor data from well control equipment like BOPs. From day one you'll be part of the full analysis process, from framing the problem and cleaning messy field data through to building models and presenting what you found. This is a role built for learning, with guidance from experienced colleagues and increasing independence as your skills grow.
What you'll do
Support analysis of well barrier assurance and verification data under the guidance of senior data scientists
Assist in evaluating time series data from well control equipment and contribute to predictive maintenance models
Apply physics-based and data-driven models to field and test data, learning to account for noise and real-world test conditions
Identify trends, anomalies, and patterns in operational data, and help build dashboards and KPIs for internal teams and clients
Help prepare and present findings to colleagues and stakeholders
Contribute to technical documentation and, as you develop, to publications, conference presentations, and patent work
What you bring
A bachelor's degree (completed or expected within six months) in Petroleum, Mechanical, or another Engineering discipline, or in Mathematics, Statistics, Computer Science, Physics, or a related field
A foundation in statistics, such as regression, probability distributions, and sampling
Some experience with Python, R, or MATLAB from coursework, internships, or personal projects
No professional experience required
Bonus points for
Coursework, internships, or field experience in oil and gas, especially drilling, completions, or well integrity
Familiarity with well barrier concepts or standards like NORSOK D-010, ISO 16530, API RP 90, or API Standard 53
Experience with sensor or time series data from instrumented equipment or lab testing
Exposure to machine learning methods and model validation
Familiarity with Azure or another cloud platform, and with Git
Technical writing experience, such as a thesis or capstone report

Employment type
Full-time

Work arrangement
Hybrid