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Data Science Jobs in Alberta (NOW HIRING)

PCL Construction

Data Science Student

Edmonton, AB

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 ...

PCL Construction

Data Science Student

Edmonton, AB

We are seeking a Data Science Student for our Canadian Industrial Division district office in Edmonton, AB, that is available for 8 or 12 months starting in September, 2026 . This position ...

PCL Construction

Data Science Student

Edmonton, AB

We are seeking a Data Science Student for our Canadian Industrial Division district office in Edmonton, AB, that is available for 8 or 12 months starting in September, 2026 . This position ...

Deloitte

Data Science Manager

Calgary, AB

As a Data Science Manager, you will play a key role in leading the delivery, building capabilities, and pursuing new data science opportunities in high-growth areas including retail analytics ...

Targeted Talent

Data Scientist

Edmonton, AB · On-site

$80K - $100K/yr

The role will be responsible for delivering high quality data science models, and the logistical challenges around improving a profitable service. You'll also be working on a diverse range of supply ...

Targeted Talent

Data Scientist

Calgary, AB

$80K - $100K/yr

The role will be responsible for delivering high quality data science models, and the logistical challenges around improving a profitable service. You'll also be working on a diverse range of supply ...

Targeted Talent

Data Scientist

Edmonton, AB · On-site

$80K - $100K/yr

The role will be responsible for delivering high quality data science models, and the logistical challenges around improving a profitable service. You'll also be working on a diverse range of supply ...

Targeted Talent

Data Scientist

Calgary, AB

$80K - $100K/yr

The role will be responsible for delivering high quality data science models, and the logistical challenges around improving a profitable service. You'll also be working on a diverse range of supply ...

Hays

Data Scientist - Specialist

Calgary, AB · Hybrid

Strong experience in data science, machine learning, and statistical modeling in enterprise environments * Deep expertise in statistical analysis, mathematical modeling, and algorithm development

Targeted Talent

Data Scientist

Calgary, AB · Remote

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 ...

Targeted Talent

Data Scientist

Edmonton, AB · Remote

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 ...

Targeted Talent

Data Scientist

Calgary, AB · Remote

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 ...

Targeted Talent

Data Scientist

Edmonton, AB · Remote

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 ...

Targeted Talent

Senior Data Scientist

Edmonton, AB · Remote

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 ...

Targeted Talent

Senior Data Scientist

Calgary, AB · Remote

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 ...

Targeted Talent

Senior Data Scientist

Edmonton, AB · Remote

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 ...

Targeted Talent

Senior Data Scientist

Calgary, AB · Remote

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 ...

S&P Global

Senior Data Scientist

Calgary, AB

CA$90K - CA$160K/yr

Own all stages of the data science project lifecycle, including: Develop, deploy, monitor, and scale models through the full Software Development Life Cycle into production (including both ML and ...

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All JobsData Science JobsData Science Jobs in Alberta

Data Science information

See Alberta salary details

$23.5K

$116.9K

$210.5K

How much do data science jobs pay per year?

As of Jun 11, 2026, the average yearly pay for data science in Alberta is $116,864.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,000.00 and $161,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

Is 40 too late for data science?

Data science is a field open to individuals of all ages, and many professionals transition into it later in their careers. Success often depends on acquiring relevant skills such as programming, statistics, and machine learning, which can be learned through online courses, bootcamps, or degrees regardless of age.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

Is AI replacing data scientists?

AI is transforming the role of data scientists by automating routine tasks such as data cleaning and basic analysis, but it does not replace the need for skilled professionals to interpret complex data, develop models, and make strategic decisions. Data scientists with expertise in programming, statistical analysis, and machine learning remain essential for designing and deploying AI solutions effectively.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

What jobs are there in data science?

Data science offers a variety of roles including Data Scientist, Data Analyst, Machine Learning Engineer, Data Engineer, and Business Intelligence Analyst. These positions typically require skills in programming, statistics, and data visualization tools, and may involve working with large datasets, predictive modeling, and data-driven decision making.

What Does a Data Scientist Do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.

What jobs does a data scientist do?

A data scientist analyzes large datasets to extract insights, build predictive models, and support decision-making. They use programming languages like Python or R, employ statistical techniques, and often work with machine learning algorithms to solve complex problems across various industries.
More about Data Science jobs
What are the most commonly searched types of Data Science jobs in Alberta? The most popular types of Data Science jobs in Alberta are:
What are popular job titles related to Data Science jobs in Alberta? For Data Science jobs in Alberta, the most frequently searched job titles are:
What job categories do people searching Data Science jobs in Alberta look for? The top searched job categories for Data Science jobs in Alberta are:
What cities in Alberta are hiring for Data Science jobs? Cities in Alberta with the most Data Science job openings:
Data Science jobs near you
Infographic showing various Data Science job openings in Alberta as of June 2026, with employment types broken down into 1% As Needed, 86% Full Time, 12% Part Time, and 1% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $116,864 per year, or $56.2 per hour.
Data Science Student

Data Science Student

PCL Construction

Edmonton, AB

Other

Posted 28 days ago

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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