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Data Science Jobs in Edmonton, AB (NOW HIRING)

KPMG

Data Support Senior Consultant

Edmonton, AB

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 ...

10 Percent Recruiting Ltd.

Data Engineer

Edmonton, AB · Hybrid

Data Engineer Location: Edmonton, AB - hybrid Type: Permanent We currently recruiting for a Full-time Data Engineer for our downtown Edmonton-headquartered client's Information Technology Department.

SIA

Applied AI Lead - Edmonton

Edmonton, AB · On-site

  • Medical

  • Dental

  • Vision

  • Life

Today our strategy and management capabilities are augmented by data science, enhanced by creativity and driven by responsibility. We're optimists for change and we help clients initiate, navigate ...

National Bank

Senior Analyst

Edmonton, AB · On-site

  • Medical

  • Retirement

Masters in a relevant field such as Financial Engineering, Finance, Statistics, Economics, Mathematics, Computer Science and Data Science. * Completion or progression in CFA and/or FRM would be an ...

NABORS

ELECTRICIAN II

Nisku, AB

By leveraging its core competencies, particularly in drilling, engineering, automation, data science and manufacturing, Nabors aims to innovate the future of energy and enable the transition to a ...

PCL Construction

AI and Analytics Analyst

Edmonton, AB

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Post-secondary degree or diploma in Business Analytics, Data Science, or a related discipline. * Minimum 5 years of relevant experience, strong exposure to analytics and reporting. * Advanced ...

PCL Construction

AI and Analytics Analyst

Edmonton, AB

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Post-secondary degree or diploma in Business Analytics, Data Science, or a related discipline. * Minimum 5 years of relevant experience, strong exposure to analytics and reporting. * Advanced ...

PCL Construction

AI and Analytics Analyst

Edmonton, AB · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Post-secondary degree or diploma in Business Analytics, Data Science, or a related discipline. * Minimum 5 years of relevant experience, strong exposure to analytics and reporting. * Advanced ...

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Showing results 21-40

All JobsData Science JobsData Science Jobs in Edmonton, AB

Data Science information

See Edmonton, AB salary details

$23.5K

$116.9K

$210.5K

How much do data science jobs pay per year?

As of Aug 15, 2026, the average yearly pay for data science in Edmonton, AB 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.

Is a data scientist in high demand?

Yes, data scientists are in high demand across many industries due to the increasing reliance on data-driven decision making. The role requires skills in programming, statistics, and machine learning, and job growth is expected to continue as organizations expand their data capabilities.

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.

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.

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 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.
More about Data Science jobs

What are the most commonly searched types of Data Science jobs in Edmonton, AB?

The most popular types of Data Science jobs in Edmonton, AB are:

What are popular job titles related to Data Science jobs in Edmonton, AB?

For Data Science jobs in Edmonton, AB, the most frequently searched job titles are:

What job categories do people searching Data Science jobs in Edmonton, AB look for?

The top searched job categories for Data Science jobs in Edmonton, AB are:

What cities near Edmonton, AB are hiring for Data Science jobs?

Cities near Edmonton, AB with the most Data Science job openings:

Data Science jobs near you
Infographic showing various Data Science job openings in Edmonton, AB as of August 2026, with employment types broken down into 94% Full Time, 4% Part Time, and 2% Contract. Highlights an 76% In-person, 13% Hybrid, and 11% Remote job distribution, with an average salary of $116,864 per year, or $56.2 per hour.

System Analyst BI & Data Analytics

Recruitment Partners

Edmonton, AB

Full-time

Posted 19 days ago

Job description

System Analyst BI & Data Analytics
Our client in Edmonton is seeking a System Analyst BI & Data Analytics to deploy on a variety of IT assignments. The successful candidate will be responsible for designing, developing, documenting, and maintaining applications, as well as actively contributing to Agile project delivery throughout the software development lifecycle.
Your success will be defined by your ability to:
  • Contribute during sprint planning meetings
  • Participate in daily stand-ups
  • Accept and act on feedback from end users
  • Provide constructive feedback through sprint retrospectives
  • Complete development tasks assigned
  • Assist project architects on their technical decisions
Your strength includes:
  • Completion of a 4-year Computer Science or Engineering degree, or a 2-year Computer Engineering / System Technology diploma
  • Minimum 5 years of professional experience in software development
  • Strong expertise in Azure Data Factory, Azure Databricks, Python, PySpark, SQL, Unity Catalogue
  • Experience with Power BI (DAX), Paginated Reports, Oracle BI, Oracle SQL, Row Level Security
  • Adaptable to new technologies and able to learn new applications quickly
  • Strong analytical, research, and problem-solving skills, with experience conducting quality assurance and delivering solutions to complex issues
  • Experience in the following would be considered a must have: Azure Data Factory, Databricks/Spark, Power BI, and Power BI Paginated Reports (SSRS Modern Replacement)
  • Experience in the following would be considered an asset: LakeFS, Azure DevOpsAzure, Data Factory and other Azure services
  • Programming: SQL, Python, .NET, DAX
  • Data modelling
If you are interested in this role and meet the above criteria, please click the "Apply" button to send your resume directly to Paul Thandi.
Recruitment Partners Inc. is an Alberta-based, Alberta-focused recruitment firm. We are dedicated to building long-term relationships while securing top talent for Alberta's best employers. At the heart of our efforts is a collaborative, consultative approach. We are proud of our team of consultants, who come with practical business experience, a strong network of professional contacts, and are focused on what is best for both clients and candidates. We will facilitate the best fit between client and candidate. This means reduced turnover, enhanced employee engagement, increased productivity, customer satisfaction, and more.
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