Data Science Intern

Pason; Calgary; Hybrid; CAD 40,000 - 60,000; Full time

Benefits offered by this job

Hybrid work environment

Job summary

Pason in Calgary is seeking a Data Science Intern for a 16-month program from May 2027 to August 2028. You will apply analytical and programming skills to IoT sensor data, developing data analytics, signal processing, machine learning, and control loop algorithms in an applied research setting.

You will work with a team of algorithm and control system designers, using Matlab, Python, SQL, AWS, and web technologies, in a hybrid environment.

Qualifications

• Strong analytical and programming skills.
• Experience with IoT data preferred.
• Criminal Record Check is required.
• Excellent problem-solving abilities.

Responsibilities

• Design algorithms to clean, aggregate, and analyze data from industrial sensors.
• Develop standalone and web-based data analytics applications.
• Design real-time signal processing and control loops.
• Experiment with ML techniques on petroleum oilfield data.
• Collaborate with account managers on statistical analyses.
• Learn and use Matlab, Python, Java, Git, AWS, SQL, HTML/CSS/JS.

Skills

Python

Matlab

SQL

Machine learning

Signal processing

Data visualization

GIT

AWS

HTML/CSS/JS

Education

3rd-year Eng/CS student

Tools

Matlab

Python

SQL

GIT

AWS

HTML/CSS/JavaScript

Plotly Dash / Streamlit

Job description

The Role

Pason is seeking a Data Science Intern in our Research team for a 16-month internship from May 2027 until August 2028. 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
• AI coding tools such as CoPilot and Junie
• 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 9, 2026.