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Data Science Jobs in Saskatchewan (NOW HIRING)

True Environmental

Supervisor - Hydrogeology

Saskatoon, SK · On-site +1

CA$120K - CA$160K/yr

Technical communications of groundwater data including data analysis and report writing. * Study ... Bachelor's degree in related science (geology, chemistry, environmental science or engineering)

WSP

Intermediate Wildlife Biologist

Saskatoon, SK · On-site +1

CA$32.30 - CA$44.50/hr

Bachelor of Science (B.Sc.) in Biology, Ecology, Wildlife Management, or a related discipline ... Experience with digital data collection, data management, and QA/QC processes * Strong technical ...

WSP

Intermediate Wildlife Biologist

Saskatoon, SK · On-site +1

CA$32.30 - CA$44.50/hr

Bachelor of Science (B.Sc.) in Biology, Ecology, Wildlife Management, or a related discipline ... Experience with digital data collection, data management, and QA/QC processes * Strong technical ...

KBM Resources Group

Photo Interpreter

Prince Albert, SK

CA$40K - CA$60K/yr

Degree, diploma, or currently enrolled in Forestry, Natural Resources, Environmental Science, or related discipline. * Previous work experience in precision forest data collection or other related ...

Targeted Talent

Senior QA Engineer

Saskatoon, SK · Remote

You'll have the opportunity to work on an amazing platform that combines Data Analytics, and ... A B.Sc. in Computer Science/Computer Engineering Some AWESOME selling points: * Remote + flexible ...

Targeted Talent

Solution Architect

Saskatoon, SK · Remote

You'll have the opportunity to work on an amazing platform that combines Data Analytics, and ... Sc. in Computer Science/Computer Engineering Some AWESOME selling points: * Remote + flexible work ...

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All JobsData Science JobsData Science Jobs in Saskatchewan

Data Science information

See Saskatchewan salary details

$23.5K

$116.9K

$210.5K

How much do data science jobs pay per year?

As of Jul 18, 2026, the average yearly pay for data science in Saskatchewan 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 data science a good career?

Data science is a growing field with high demand for professionals skilled in statistics, programming, and data analysis tools like Python and R. It offers competitive salaries, diverse industry applications, and opportunities for advancement, making it a strong career choice for those with relevant skills and education.

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.

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 jobs can a Data Scientist do?

A Data Scientist can work in roles such as data analyst, machine learning engineer, data engineer, or business intelligence analyst. These roles involve analyzing large datasets, developing predictive models, and using tools like Python, R, and SQL to support decision-making across various industries.

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 work do you do as a Data Scientist?

A Data Scientist analyzes large datasets to extract insights, build predictive models, and inform business decisions. They use programming languages like Python or R, and tools such as SQL and machine learning frameworks, often working in collaborative environments with data engineers and analysts.

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 Saskatchewan? The most popular types of Data Science jobs in Saskatchewan are:
What are popular job titles related to Data Science jobs in Saskatchewan? For Data Science jobs in Saskatchewan, the most frequently searched job titles are:
What job categories do people searching Data Science jobs in Saskatchewan look for? The top searched job categories for Data Science jobs in Saskatchewan are:
What cities in Saskatchewan are hiring for Data Science jobs? Cities in Saskatchewan with the most Data Science job openings:
Data Science jobs near you
Infographic showing various Data Science job openings in Saskatchewan as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 77% Physical, 2% Hybrid, and 21% Remote job distribution, with an average salary of $116,864 per year, or $56.2 per hour.
Junior/Intermediate Environmental Professional (Engineer or Scientist)

Junior/Intermediate Environmental Professional (Engineer or Scientist)

Wood Plc

Regina, SK • On-site

Other

Re-posted 22 days ago

Job description

Overview / Responsibilities

Wood has opportunities for Junior/Intermediate Environmental Professionals (Engineers, Technologists or Scientists) with experience in conducting environmental site assessment and remediation projects to be located in our Regina office.

Key Responsibilities: 

  • Coordinating field sampling programs involving groundwater monitoring utility locates, drilling and test pitting contractors, remediation and liaison with chemical laboratories
  • Supervising and direct field sampling programs involving drilling boreholes, excavating test pits, removal of underground storage tanks and groundwater monitoring
  • Conducting air monitoring and hazardous building material assessments
  • Maintaining field instrumentation and organizing field supplies
  • Management of field data and assisting in the preparation of technical reports
  • Participation and collaboration with other offices and staff on larger, multi-disciplinary projects
  • Other duties as assigned to you from time to time

Please note:  The position will require travel throughout different regions of the Province

Skills / Qualifications
  • College diploma or University degree in Environmental Engineering, Geoscience and / or related program, which has included studies in one or more of the following:
    • Soils;
    • Environmental Site Assessment;
    • Groundwater
    • Designated Substances
    • Asbestos
    • Air Quality; or
    • Industrial Hygiene
  • 1-3 years of related work experience
  • Sound knowledge of soils (including the unified soil classification system)
  • Good communication skills and attention to detail is a requirement (verbal and written)
  • Must be available to work overtime
  • Must have valid driver's license and vehicle appropriate for carrying field equipment
  • Must be willing to travel (mostly within Saskatchewan with occasional remote northern or out of province projects)
  • Working knowledge of Microsoft office (word and excel)
  • Capable of working in adverse weather conditions and working long, physically demanding and varied hours in remote locations
  • Ability to lift 50 lbs. and conduct other physically strenuous tasks such as shoveling and augering, etc.
  • Team-oriented, self-motivated and safety conscience with strong problem-solving skills
  • Experience working around heavy equipment an asset
  • Working experience with AutoCAD, GIS and other software programs an asset
Company Overview

Wood is a global leader in consulting and engineering across energy and the built environment, helping to unlock solutions to some of the world's most critical challenges. We provide consulting, projects and operations solutions in more than 60 countries, employing around 40,000 people. www.woodplc.com

Diversity Statement (EEO)

We are an equal opportunity employer that recognises the value of a diverse workforce. All suitably qualified applicants will receive consideration for employment on the basis of objective criteria and without regard to the following (which is a non-exhaustive list): race, colour, age, religion, gender, national origin, disability, sexual orientation, gender identity, protected veteran status, or other characteristics in accordance with the relevant governing laws.

Employment Type: OTHER

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