Data Science Intern

Precision Drilling; Canada; On-site; CAD 18,000 - 24,000; Full time

Benefits offered by this job

Work-life balance

Professional development

Networking events

Career development seminars

Afternoons off before long weekend

Job summary

Precision Drilling invites a Data Science Intern to join the 2026 Internship Program, working with AI/ML and large language model tech to build innovative solutions for drilling operations. You will collaborate with leadership and teammates, gaining hands-on experience across data pipelines, model development, and analytics while contributing to real-world projects.

The role emphasizes learning, professional development, and networking through seminars, events, and organized activities, with a

Qualifications

• Pursuing a bachelor's or master's degree in Data Science, AI, or CS/Engineering with AI/ML focus.
• Strong Python skills and willingness to learn.
• Experience with ML/AI concepts and model deployment is a plus.
• Excellent problem-solving and collaboration mindset.

Responsibilities

• Gain hands-on experience tackling drilling operations challenges.
• Design ML/AI solutions to automate tasks and predict outcomes.
• Work with data pipelines and tools to analyze company data.
• Apply prompting techniques to transform diverse data sources.
• Create reports and document technical work.

Skills

Python

OpenAI models

LangChain

Context engineering

SQL

Data analysis

Education

Bachelor's or Master's in Data Science/AI/CS

Tools

LangChain

Azure ML

Snowflake

Neo4j

Vector DBs

Streamlit

PowerBI

Grafana

Azure Data Lake

Job description

Data Science Intern

Precision Drilling is launching our 2026 Internship Program!

If you are a current post-secondary student working towards your degree in Data Science, Artificial Intelligence or Computer Science/Engineering, with a specialization in AI/MLand 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.

Summary

The Data Innovation AI Developer Intern will play a key role in creating an innovative AI/ML solution that incorporates the uses of large language and other foundation models. Responsibilities include, but are not limited to, the following:

Responsibilities

• Gain hands-on experience to better understand and address the challenges in drilling operations.
• Contribute to the design of advanced ML/AI solutions that automate complex tasks and predict future outcomes.
• Harness existing data infrastructure, pipelines, and tools to gather and analyze company data, uncover trends and useful insights.
• Leverage ML/AI and prompting techniques to transform and elevate both structured and unstructured datasets from diverse sources.
• 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 master's Degree in; Data Science, Artificial Intelligence or Computer Science/Engineering, with a specialization in AI/ML. Previous internships, work experience, or extracurricular roles are an asset.

Experience

Experience with Python, Context engineering development experience with OpenAI based (or other) models, LangChain Agent integration required.

Experience with Autogen Studio, Vector DBs (e.g. Azure AISearch), Agentic flow (e.g. GraphRAG), GraphDB (e.g. Neo4J), advanced SQL is an asset.

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