Data Science Student
Calgary, AB, Canada
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- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
- Unconfirmed
Education & alternatives
What You Bring to the Role: - Currently enrolled in a bachelor’s or master’s degree program in Engineering - Proven completion of formal training related to data science
Tools in this posting
- Prefect
- Plotly
- Power BI
Source — Tool mentions in context
- Model Development: Design and implement forecasting models to predict future trends and utilize machine learning algorithms to analyze historical data and identify trends and anomalies - Data Workflow Management: Utilize data orchestration tools (e.g., Prefect) to manage and streamline data processing workflows, ensuring efficient execution of EDA and data manipulation tasks - Data Visualization: Develop interactive dashboards using visualization tools (e.g., Plotly Dash, Power BI) to present forecasting results and insights to stakeholders, facilitating data-driven decision-making
- Data Workflow Management: Utilize data orchestration tools (e.g., Prefect) to manage and streamline data processing workflows, ensuring efficient execution of EDA and data manipulation tasks - Data Visualization: Develop interactive dashboards using visualization tools (e.g., Plotly Dash, Power BI) to present forecasting results and insights to stakeholders, facilitating data-driven decision-making - Data Quality Assurance: Conduct thorough data cleaning and preprocessing to ensure high-quality datasets, addressing anomalies, missing values, and outliers effectively
Benefits in the posting
Full benefits wording- Competitive salary
- Paid time off during Christmas week and summer Fridays in July and August
- Multiple volunteer opportunities within the community
- Students may be eligible for relocation assistance pursuant to Canadian Natural’s Student Relocation Policy (students will be responsible for finding their own accommodations during the work term)
- Opportunities to partake in initiatives such as the Intern Social Committee
- We wish to thank all applicants for their interest and effort in applying for the position; however, only candidates selected for interviews will be contacted. This posting will close once a successful candidate has been selected.
From the employer’s posting.
Job description
The Opportunity:
Are you a student looking for an exciting opportunity that is full of meaningful, diverse, and ambitious assignments working alongside industry leading professionals? Join Canadian Natural, where we strive to provide opportunities based on your abilities, helping you to contribute in a meaningful way and apply your academic experience to challenging and rewarding projects!
Join our team as you dive into the world of data science and industrial operations! As part of our Control Systems team, you'll support a team accountable for the reliability and availability of all DCS and control system assets within the project area. If you are passionate about industrial operations and data science, this opportunity is for you! Get ready to grow your skills and make a real impact in a collaborative and innovative environment.
- Job location: Calgary, Alberta – Head Office
- Work schedule: 5 x 2, 8 hours per day (Monday – Friday)
- Term length: 8 Months
- Term start: May 2027
- Safety sensitive position: Yes
Key Accountabilities:
- Model Development: Design and implement forecasting models to predict future trends and utilize machine learning algorithms to analyze historical data and identify trends and anomalies
- Data Workflow Management: Utilize data orchestration tools (e.g., Prefect) to manage and streamline data processing workflows, ensuring efficient execution of EDA and data manipulation tasks
- Data Visualization: Develop interactive dashboards using visualization tools (e.g., Plotly Dash, Power BI) to present forecasting results and insights to stakeholders, facilitating data-driven decision-making
- Data Quality Assurance: Conduct thorough data cleaning and preprocessing to ensure high-quality datasets, addressing anomalies, missing values, and outliers effectively
- Collaboration: Work closely with cross-functional teams to gather requirements, integrate data from various sources (e.g., PI Process Book), and provide analytical support for operational improvements
What You Bring to the Role:
- Currently enrolled in a bachelor’s or master’s degree program in Engineering
- Proven completion of formal training related to data science
- Strong work ethic and positive attitude
- A pre-employment drug and alcohol test must be successfully completed
What We Offer:
- Competitive salary
- Paid time off during Christmas week and summer Fridays in July and August
- Multiple volunteer opportunities within the community
- Students may be eligible for relocation assistance pursuant to Canadian Natural’s Student Relocation Policy (students will be responsible for finding their own accommodations during the work term)
- Opportunities to partake in initiatives such as the Intern Social Committee
Check out our COMPENSATION & BENEFITS overview to see what we have to offer!
If you are interested in this exciting student work term opportunity, please include your resume, cover letter (optional) and unofficial transcripts as part of your online application.
All candidates applying to Canadian Natural must have legal authorization to work in Canada with no restrictions.
We wish to thank all applicants for their interest and effort in applying for the position; however, only candidates selected for interviews will be contacted. This posting will close once a successful candidate has been selected.
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Source & posting history
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Calgary, AB, Canada
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Unknown — awaiting fresh evidence
- First seen by us
- Aug 19, 2026
- Recorded sightings
- 13
- Last seen by us
- Sep 9, 2026
- Employer says posted
- Aug 17, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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