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Data Science Jobs in Saskatchewan (NOW HIRING)

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

Bachelor's degree in Business, Engineering, Computer Science, Data Analytics, or a related field, or equivalent practical experience. * Experience: 3+ years of experience and strong interest in ...

... data management workflows. Strong organizational skills, detail orientation, and ability to work collaboratively in dynamic field conditions. Degree in Biology, Environmental Science, Ecology, or ...

... data management workflows. Strong organizational skills, detail orientation, and ability to work collaboratively in dynamic field conditions. Degree in Biology, Environmental Science, Ecology, or ...

Mining Process Engineer

Regina, SK · On-site

CA$115K - CA$135K/yr

When you join us, you'll be part of a global team harnessing the power of scientific testing and data-driven insights to build a healthier future. About the Position: The Mining Process Engineer ...

New

... Science or Engineering. * General knowledge of marketing and/or sales principles and techniques, and the ability to apply such principles. * Thorough knowledge of database concepts and data modeling ...

We deliver confidence in the integrity of our data, agility in our processes, and transparency with ... You bring 7+ years of experience and a Bachelor's or Master's degree in a scientific or quality ...

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Showing results 1-20

Data Science information

See Saskatchewan salary details

$23.5K

$116.9K

$210.5K

How much do data science jobs pay per year?

As of Jun 17, 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.

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.
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:
Intermediate Wildlife Biologist

Intermediate Wildlife Biologist

WSP

Saskatoon, SK • On-site, Remote

CA$32.30 - CA$44.50/hr

Other

Posted 3 days ago


WSP rating

8.5

Company rating: 8.5 out of 10

Based on 67 frontline employees who took The Breakroom Quiz

15th of 57 rated business consultants


Job description

What if you could redefine what's possible?

With us, you can. You want Purpose. Growth. Opportunity. People who get it.
We are the home of ambitious, passionate, and innovative world shapers.
With an unmatched breadth and depth of engineering, advisory and sciencebased expertise, our global minds unite to power local solutions.
We are pathfinders and impact makers.
We are Visioneers. 

We are WSP.


The Opportunity

Join WSP's Wildlife team as a Wildlife Biologist and play a key role in supporting resource development projects across Saskatchewan, as well as western and northern Canada. This is a permanent opportunity to work alongside experienced wildlife professionals on meaningful projects that balance development with environmental stewardship.

You'll gain handson field experience, contribute to highquality technical deliverables, and grow your career within a collaborative, sciencedriven team.


Your Impact

  • Conduct general and speciesspecific wildlife surveys, including surveys for Species at Risk
  • Perform bird surveys such as point counts and nest sweeps to support regulatory compliance
  • Support wildlife assessments and contribute to technical and field reporting
  • Collect, manage, and enter field data accurately and efficiently
  • Work in remote field locations for extended periods (1-2 weeks at a time)
  • Assist senior biologists with project delivery and proposal development
  • Collaborate with multidisciplinary teams to support responsible resource development

The Skills That Set You Apart

  • Bachelor of Science (B.Sc.) in Biology, Ecology, Wildlife Management, or a related discipline (advanced degree considered an asset)
  • Minimum 3 years of experience conducting wildlife surveys
  • Strong wildlife identification skills, particularly avian identification
  • Demonstrated experience with bird surveys and wildlife field methods
  • Solid understanding of the Migratory Bird Convention Act and provincial wildlife regulations
  • Experience with digital data collection, data management, and QA/QC processes
  • Strong technical writing and data analysis skills
  • Willingness to travel, work flexible hours, and perform fieldwork in varied environmental conditions
  • Assets include:
    Experience providing nest mitigation measures
    Experience leading or coordinating field crews
    Experience designing wildlife studies

Why Choose WSP?

We exist to shape communities to advance humanity. The brightest engineers, advisors and scientists from across the globe call WSP home.

  • Proudly Canadian - we are a Top 100 Employer in Canada for 2026.
  • A global community of brilliant minds - your next idea, mentor, or opportunity is always within reach.
  • Limitless opportunities start here. Whether it's across the country or around the globe, we help you tailor your role to match your ambition - because your growth drives ours.
  • Flexible work, real balance - we recognize the importance of balance in our lives and encourage you to prioritize the balance in yours.

#WeAreWSP


Compensation

AB, BC, NT, NU, SK & YT: $34.90 - $48.10 per hour
MB & ON: $32.30 - $44.50 per hour
NB, NL, NS, PE & QC: $30.20 - $41.60 per hour

Disclosure:
The final salary awarded for this role may vary from the above range based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, and business or organizational needs. The wage range provided in this job posting may be subject to change for business purposes.


Ready to Shape the Future?
Apply today and discover how WSP can help you build a career that makes a lasting impact, on projects, communities, and the environment.


At WSP, we exist to shape communities to advance humanity.
It's why we bring people together who are wired to solve complex challenges - engineers, scientists, advisors, and technical experts who are driven by a common passion - to redefine what's possible and shape what comes next. We are Visioneers.
As one of the world's leading professional services firms, we partner with clients across transportation, infrastructure, environment, buildings, energy, water, mining and metals. We pair deep local knowledge with global insights to pioneer solutions designed to leave a lasting, positive impact.
At WSP, you'll join a community of brilliant minds that push boundaries every day - applying deep expertise and fuelling innovation to help create a more connected and resilient future. Here, your ideas are valued, your growth is supported, and you are encouraged to bring your authentic self to work. We empower our people to collaborate across disciplines, challenge the status quo, and shape a career with purpose.
Join us.
Please Note:
Health and Safety is a core paramount value of WSP. Given the importance of keeping one another safe it is expected that you comply with our Health, Safety & Environment (HSE) policy at all times as well as client HSE policies when working at client locations. Full details here.
Some safety-sensitive positions involve fieldwork and may include work in a variety of environmental conditions, such as remote or isolated areas, working alone, and in inclement weather (within safe and reasonable limits).
WSP welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process.
WSP is committed to the principles of employment equity. Only the candidates selected will be contacted.
WSP does not accept unsolicited resumes from agencies. Full details here.

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