Data Science Intern

The Role

Pason is seeking a Data Science Intern in our Research team for a 16-month internship from May 2026 until August 2027. You will use your strong analytical and programming skills to extract meaningful insights from IoT-based sensor data. Your responsibilities will include developing data analytics, signal processing, machine learning, and control loop algorithms. You will work with a talented group of algorithm and control system designers in an applied research setting.

This is an opportunity to learn how data science works in a real-world industrial application.

Essential Duties and Responsibilities

- Design algorithms which clean, aggregate, and analyze data from industrial process sensors for the purposes of performance analysis, event detection, and process optimization.

- Design, test, and deploy standalone and web-based software applications for data analytics.

- Design real-time signal processing and control loop algorithms and test their performance on historical sensor data as well as live field trials.

- Learn state-of-the-art machine learning techniques and perform experiments to determine how they are best applied to petroleum oilfield data.

- Work with Pason account managers to solve mathematical and statistical analysis problems for high-priority customers.

- Learn and use the following technologies: Matlab, Python (ML and dashboarding libraries), Java, GIT, AWS, SQL databases, HTML/CSS/JavaScript, and web frameworks.

- Participate in team technical discussions, research paper reviews, and propose novel ideas to solve challenging engineering problems.

- Present product prototypes to sales, engineering, and/or management teams.

Knowledge, Skills, and Abilities

- Programming languages such as Matlab, Python, Java, and SQL

- Python dashboarding libraries such as Streamlit and Plotly Dash

- Machine learning, signal processing, and control systems

- Statistical analysis and data visualization

- Database architecture, development, and management

Hybrid Work Environment

- This position allows the opportunity for an employee to work in a hybrid environment where a portion of their role is in the office and the other portion remote.

Education

- Currently enrolled in 3rd year studies in Electrical, Computer, Software or Geomatics Engineering, Computer Science, or related fields

Pre-employment Conditions

- Completion of a satisfactory Criminal Record Check

This job posting closes October 15, please ensure you have your application in before the deadline.