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Entry Level Civil Engineering Data Science Jobs in Calgary, AB

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 ...

New

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 ...

New

... data science and software engineering. As an integral member of our team, we highly encourage the contribution of ideas and drive in the generation of new concepts to maintain our outstanding ...

As a Data Engineering Student, you will work with Data Analysts, Business Systems Analysts and ... Partner with data scientists, analysts, and business stakeholders to understand requirements and ...

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As a Data Engineering Student, you will work with Data Analysts, Business Systems Analysts and ... Partner with data scientists, analysts, and business stakeholders to understand requirements and ...

New

... Engineering or Computer Science. * Development experience utilizing Java, Kotlin, SQL, Python, Spring framework, Spring Boot, Data Pipeline technologies based on Apache Spark, RDS, NoSQL, distributed ...

Junior Machine Learning Engineer

Calgary, AB ยท On-site

CA$80K - CA$95K/yr

Work with structured and unstructured data to support model development, feature engineering, and data preparation. * Collaborate with senior AI engineers and data scientists to improve model ...

Water Resources Engineer

Calgary, AB ยท On-site

CA$30 - CA$55/hr

Bachelor's degree in Water Resources, Environmental, or Civil Engineering. A graduate degree would ... unites science, data and practical expertise to deliver solutions that strengthen our clients ...

Bachelors or Diploma in Computer Science, Database Management, Data Programming, Information Systems, Data Engineering, Data Analytics, or other IT-related degree; * Strong database proficiency (e.g ...

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Entry Level Civil Engineering Data Science information

What is an entry level civil engineering data science?

An entry level civil engineering data science job involves using data analysis and computational tools to solve problems related to civil engineering, such as infrastructure design, construction, and maintenance. Professionals in this role work with large datasets from sensors, surveys, and simulations to help inform decisions about projects like roads, bridges, and buildings. They often use programming languages like Python or R and work with statistical methods, machine learning, and data visualization. This role is ideal for recent graduates with skills in both civil engineering fundamentals and data science techniques.

How do entry level civil engineering data scientists typically collaborate with engineering teams on infrastructure projects?

Entry-level civil engineering data scientists often work closely with multidisciplinary engineering teams to collect, analyze, and interpret large datasets related to infrastructure projects. They support decision-making by creating predictive models, visualizations, and reports that inform project design, construction, and maintenance. Collaboration usually involves regular meetings, sharing insights with engineers and project managers, and ensuring that data-driven recommendations align with technical and regulatory requirements. This partnership helps bridge the gap between data science and practical engineering solutions.

What are the key skills and qualifications needed to thrive as an entry level civil engineering data scientist, and why are they important?

To thrive as an Entry Level Civil Engineering Data Scientist, you need a solid grasp of civil engineering fundamentals, statistics, and data analysis, typically supported by a relevant engineering or data science degree. Familiarity with technical tools such as Python, MATLAB, AutoCAD, and data visualization platforms, as well as experience with databases and possibly certifications in data analytics, are highly beneficial. Strong problem-solving abilities, attention to detail, and communication skills make candidates stand out in this multidisciplinary role. These skills are crucial for accurately interpreting engineering data, supporting infrastructure decision-making, and effectively conveying insights to technical and non-technical stakeholders.

What is the difference between Entry Level Civil Engineering Data Science vs Entry Level Civil Engineering?

AspectEntry Level Civil Engineering Data ScienceEntry Level Civil Engineering
Required CredentialsBachelor's in Civil Engineering, Data Science, or related field; knowledge of programming and data analysisBachelor's in Civil Engineering or related field; engineering fundamentals
Work EnvironmentDesign firms, consulting agencies, government agencies with data analysis focusConstruction sites, design offices, infrastructure projects
Employer & Industry UsageUtilized in infrastructure planning, data-driven decision making, modelingDesign, construction, and maintenance of civil infrastructure

Entry Level Civil Engineering Data Science combines civil engineering fundamentals with data analysis skills, focusing on data-driven project optimization. In contrast, Entry Level Civil Engineering emphasizes traditional engineering design and construction. Both roles require a bachelor's degree, but the data science role demands additional programming and analytical skills, often working in environments that leverage data for infrastructure planning and management.

What are popular job titles related to Entry Level Civil Engineering Data Science jobs in Calgary, AB?

For Entry Level Civil Engineering Data Science jobs in Calgary, AB, the most frequently searched job titles are:

What job categories do people searching Entry Level Civil Engineering Data Science jobs in Calgary, AB look for?

The top searched job categories for Entry Level Civil Engineering Data Science jobs in Calgary, AB are:

Infographic showing various Entry Level Civil Engineering Data Science job openings in Calgary, AB as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Data Science Student

Canadian Natural

Calgary, AB โ€ข On-site

Full-time

PTO

Posted 3 days ago

New


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.ย 

  • Job location: Calgary, Alberta - Head Officeย 
  • 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 aย bachelor's or master's degree program in Engineeringย 
  • 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 ourย 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.

Canadian Natural operates one of the largest Campus Recruitment programs in the country, hiring over 400 students every year. Students hired on with us are made to feel a part of the team, gaining high level experience, knowledge, and training that introduces and prepares them for full-time employment.ย 

We are proud to share that Canadian Natural has been ranked as a Top Employer for 2023, 2024 and 2025 by Canada's Future Workforceย and also one of Forbes' Canada's Best Employersย in 2025 and 2026.

Industry Leader: We commenced business in 1989 with a handful of employees and modest production, but today we employ more than 10,000 people and produce over 1 million BOE/d.ย 

Community Investment: Social responsibility is a critical element of our commitment to responsible operations and part of our success and pride as a Company. We are committed to investing in the communities where we live and work, creating shared value along the way.

Compensation and Benefits: We strive to share Company success with all employees through a comprehensive total compensation package.

Our People, Our Stories: Our stories demonstrate the strong culture that exists at Canadian Natural - one that focuses on developing people, working together and doing it right, with fun and integrity.

Check out some of our Student Testimonials!