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Drilling Optimization Machine Learning Developer Intern

Precision Drilling is launching our 2025 Internship Program!  

 

If you are a current post-secondary student working towards your degree, or have recently graduated in Computer/Data Science or Engineering and you’d like to gain real-world experience during your summer, then please read on…  

 

Working for Precision Drilling means being immersed in a supportive culture that recognizes you as a strategic player in Precision Drilling’s future. We are a large company rooted in the success of our people, where you will collaborate with leadership and your colleagues across the organization. 

 

Our Interns will enjoy perks such as:  

  • A work environment where you can expect to enjoy a work-life balance that promotes personal health and well-being. 

  • Personal development to grow your career with us based on your strengths and interests. 

  • Networking and employee engagement events. 

  • Career development seminars. 

  • Precision offers afternoons off before a long weekend. 

 
How to Apply  

Applicants MUST submit a Resume & copy of their Transcript detailing their interest in working at Precision Drilling. Failure to submit both will result in automatic disqualification. Please submit your Resume & Transcript in ONE PDF file attached in the resume section. 

This application will close on Sunday, February 9th, 2025.

 
The following restrictions apply to all internship candidates:  

  • Applicants must be available for a non-negotiable start date of Wednesday May 7, 2025 in Calgary 

  • Applicants must be 18 years or older. 

  • Applicants must have housing accommodations or transportation in the Calgary area, as Precision does not provide internship housing.  

  • By May 5, 2025, applicants must have completed at least their first year of study in a post-secondary program/Technical Institute (see job posting).   

 
Summary  

The Drilling Optimization Machine Learning Developer Intern in Calgary, AB, will play a key role in creating an innovative machine learning solution that transforms operational data into unique identifiers while incorporating explainability for the Drilling Performance group.  

 

Responsibilities  

  • Gain hands-on experience to better understand and address the challenges in drilling operations  

  • Contribute to the design of ML/AI solutions that automate powerful predictive models and tasks 

  • Harness existing data infrastructure, pipelines, and tools to gather and analyze drilling performance data, uncover trends, and help create unique identifiers while incorporating explainability   

  • Leverage data engineering, data science, and ML/AI techniques to transform and elevate both structured and unstructured datasets from diverse sources 

  • Collaborate within a dynamic multidisciplinary team, thriving in a fast-paced environment 

  • Communicate both technical and non-technical issues clearly, in both verbal and written English 

  • Create reports and presentations and keep relevant technical documentation organized and up-to-date 

 

Knowledge & Skills  

Shows a strong passion for optimization and the development of ML/AI solutions, particularly in addressing challenges within the oil and gas industry   

Exhibits a willingness to learn and collaborate with others, supported by a strong analytical mindset and a talent for problem-solving 

Highly motivated, organized, and capable of managing multiple tasks and subprojects effectively   

Inspires personal and professional growth in themselves and others, fostering an environment that encourages creativity and innovation 

 

Education  

Pursuing a bachelor’s or have recently graduated from a master’s Degree in Computer Science, Data Science, or Engineering, with a specialization in AI/ML. Previous internships, work experience, or extracurricular roles are an asset 

 

Experience  

Required: Python, SQL programming, Inferential Statistics, Machine Learning frameworks (e.g., Keras, PyTorch) and libraries (e.g., scikit-learn) 

Preferred: ML Flow, Azure technologies (Azure ML, DevOps, Data Lake), Snowflake cloud data warehouse, and data visualization tools (Streamlit, PowerBI, Spotfire, Grafana) 

 

 

Apply now »