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Data Science Civil Engineering Jobs in Alberta (NOW HIRING)

Prior exposure to a statistical or scientific programming environment is helpful. If you don't have ... data pipeline tools. Excellent oral and written communication skills will help. You'll work with ...

As a Data Science Manager, you will play a key role in leading the delivery, building capabilities ... developers, information designers, and business/industry leaders. You will be responsible for ...

... scientists, digital innovators, program and construction managers and other professionals ... Gathers and correlates basic engineering data using established and well-defined procedures.

Bachelor of Science degree in Civil Engineering from a four-year accredited college or university. * Minimum 5 years of relevant experience in Civil Engineering and Design. * Professional Engineering ...

As the discipline of data science continues to converge with AI engineering, we want someone who can move fluidly across both. You will operate as a senior individual contributor and a generalist ...

As the discipline of data science continues to converge with AI engineering, we want someone who can move fluidly across both. You will operate as a senior individual contributor and a generalist ...

As the discipline of data science continues to converge with AI engineering, we want someone who can move fluidly across both. You will operate as a senior individual contributor and a generalist ...

With an unmatched breadth and depth of engineering, advisory and science-based expertise, our ... The Opportunity Build the Future with Us - As a Senior Civil Engineer in our Edmonton Land ...

With an unmatched breadth and depth of engineering, advisory and science-based expertise, our ... The Opportunity Build the Future with Us - As a Senior Civil Engineer in our Edmonton Land ...

Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong ...

Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong ...

Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong ...

Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong ...

Civil Engineer

Medicine Hat, AB

CA$104K - CA$138K/yr

Step into a Civil Engineering role where your technical expertise helps shape the communities of ... The brightest engineers, advisors and scientists from across the globe call WSP home. Proudly ...

Civil Engineer

Medicine Hat, AB

CA$104K - CA$138K/yr

Step into a Civil Engineering role where your technical expertise helps shape the communities of ... The brightest engineers, advisors and scientists from across the globe call WSP home. Proudly ...

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Showing results 1-20

Data Science Civil Engineering information

See Alberta salary details

$25.5K

$103.3K

$196K

How much do data science civil engineering jobs pay per year?

As of Aug 17, 2026, the average yearly pay for data science civil engineering in Alberta is $103,286.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,000.00 and $136,500.00 per year, depending on experience, location, and employer.

What is a data science civil engineering job?

A Data Science Civil Engineering job combines data science techniques with civil engineering expertise to analyze, model, and optimize infrastructure projects. Professionals in this field use machine learning, statistical analysis, and big data tools to improve structural design, traffic systems, and environmental sustainability. They work with large datasets from sensors, GIS systems, and simulations to enhance decision-making in construction, transportation, and urban planning.

What are the typical daily responsibilities of a data science civil engineering professional?

Professionals in Data Science Civil Engineering routinely analyze large datasets related to construction, infrastructure performance, and environmental variables to inform design and maintenance decisions. Daily tasks may include developing predictive models, preparing visualization dashboards, interpreting sensor data, and collaborating with civil engineers to translate data insights into actionable project recommendations. The role often requires close teamwork with engineering, IT, and project management staff to ensure that analytical findings align with project goals and regulatory requirements. This blend of technical and collaborative work makes each day dynamic and impactful, contributing directly to improved safety, efficiency, and sustainability in civil engineering projects.

What are the key skills and qualifications needed for a data science civil engineering position?

To excel in Data Science Civil Engineering, you need a strong background in civil engineering principles along with expertise in data analytics, statistical modeling, and programming languages such as Python or R. Familiarity with tools like MATLAB, GIS software, machine learning libraries, and certifications in data science or engineering analysis is often required. Strong problem-solving abilities, communication skills, and the capacity to work collaboratively with interdisciplinary teams distinguish top professionals in this field. These skills are crucial for driving data-informed decisions, optimizing engineering designs, and effectively addressing complex infrastructure challenges.

Can a data science civil engineer become a data scientist?

A data science civil engineer can become a data scientist by acquiring relevant skills such as programming, statistical analysis, and machine learning, often through additional training or certifications. Their engineering background provides a strong foundation in problem-solving and data analysis, which are valuable in data science roles.

What are popular job titles related to Data Science Civil Engineering jobs in Alberta?

For Data Science Civil Engineering jobs in Alberta, the most frequently searched job titles are:

Infographic showing various Data Science Civil Engineering job openings in Alberta as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $103,286 per year, or $49.7 per hour.

Data Science Student

PCL Construction

Edmonton, AB • On-site

Full-time

This job post has expired today. Applications are no longer accepted.


PCL Construction rating

7.0

Company rating: 7.0 out of 10

Based on 16 frontline employees who took The Breakroom Quiz


Job description

The future you want is within reach. 
At PCL, we build the places where life happens and find camaraderie in the process. We're a community of builders committed to building better communities. That's why we're always looking ahead, and not just to the next project or what's next in our industry.  
We're also looking at what's next for you and how we can help you build a career you're proud of. As a student at PCL, you will get the opportunity for challenging work assignments in a supportive work environment which promotes personal and professional growth.  


We are seeking a Data Science Student for our Canadian Industrial Division district office in Edmonton, AB, that is availablefor 8 or 12 months starting in September, 2026.This position willbe under the direct supervision of the Manager, Data Science

Remote work not available for this position.

 
As a Data Science Student, you will contribute to our team by: 

Responsibilities

   Gain proficiency in exploratory data analysis, perform it, and present insights. 
   Prepare data sets for visualization and machine learning modeling. 
   Train machine learning systems using data annotation and benchmarking techniques. 
   Help your colleagues assess AI/ML model performance and propose paths for potential improvement. 
   Prepare data visualizations using industry-leading tools to summarize results for stakeholders. 
   Document your results - tell the story of the work, the successes, and the lessons-learned for posterity. 
   Keep an open mind, in order to utilize your unique skills and your determination when other opportunities arise. 


This position has a twist. Contingent on successful early work, the team member will have a chance to build their portfolio through a capstone project. For the final two months, a portion of their time will be focused on a design-focused initiative, of value to PCL, of their choosing. You'll be supported while you: 
   Develop a proposal 
   Engage with the right people to inform your work 
   Build your prototype or visualization 
   Assess and present the results 

Qualifications

   Currently enrolled in a postsecondary program 
   You should be an outstanding bachelor's or mathematics student in engineering, computing, or mathematical sciences. Alternatively, you could be pursuing an MSc in a quantitative field. If your field of study differs, apply: we'd like to hear why you'll be a good fit regardless. 
   Analytical skills - ability to quickly analyze data to identify and visualize key insights - as evidenced by coursework, projects, or research requiring the analysis of large datasets. 
   Coursework in statistics. Applied statistics and probability are the focus of the position: if you can converse about regression models, and clustering approaches, you'll be fine. 
   Prior exposure to a statistical or scientific programming environment is helpful. If you don't have it, you'll become familiar while you're with us.  We have a bias for open source tech, and work with the Python scientific stack, R, PowerBI, and various data pipeline tools. 
   Excellent oral and written communication skills will help. You'll work with both experts in the field and business staff, so you'll find it important to be able to communicate appropriately with both as needed. 

Next Step: 
Please note that candidates who have been selected to move forward to the next stage of the recruitment process will receive an email to complete a short online video interview. 
PCL is an innovative, employee-owned company comprised of people who find passion in their profession and take pride in doing great work every day. Our work powers the infrastructure and utilities that are essential to daily life and our projects are the scene of vacations, careers, education and healing. We are consistently ranked among the best companies to work for because we are committed to supporting and developing our teams.

The PCL Companies celebrate diversity and are proud to be an equal opportunity employer. We are committed to creating equitable opportunities and an inclusive environment for all employees and applicants.  We make employment-related decisions without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, age, disability or veteran status.
Should you require an accommodation during the application process, please contact us at careers@pcl.com with the position and location you are interested in.  
Together, we can build success and a better future. Let's get started! 
 


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