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 were looking for an early-career data scientist to join our Data Science team.

Youll 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 youll 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 youll 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

Qualifications :

What you bring

• A bachelors 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

Additional Information :

All your information will be kept confidential according to EEO guidelines.

Work :

No

Employment Type :

Full-time