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Remote Data Science Intern Jobs in Alberta (NOW HIRING)

Intermediate Spatial Ecologist

Calgary, AB · On-site +1

CA$43.90 - CA$60.40/hr

Create clear and compelling data visualizations using Python and/or R. * Integrate remote sensing ... Master's degree in Ecology, Data Science, Environmental Science, or a related field. * 5-10 years ...

Intermediate Spatial Ecologist

Calgary, AB · On-site +1

CA$43.90 - CA$60.40/hr

Create clear and compelling data visualizations using Python and/or R. * Integrate remote sensing ... Master's degree in Ecology, Data Science, Environmental Science, or a related field. * 5-10 years ...

Environmental Scientist

Calgary, AB · On-site +1

CA$80K - CA$107K/yr

With an unmatched breadth and depth of engineering, advisory and science-based expertise, our ... You prepare compile data for, and write, reports including preparing conclusions and ...

Environmental Scientist

Calgary, AB · On-site +1

CA$80K - CA$107K/yr

With an unmatched breadth and depth of engineering, advisory and science-based expertise, our ... You prepare compile data for, and write, reports including preparing conclusions and ...

... operations, and data science to identify new tooling for ML and LLM-driven features for Clio ... Remote This role is a backfill for an existing position. What you will find here: Compensation is ...

Showing results 21-40

Remote Data Science Intern information

What is a remote data science intern?

A Remote Data Science Intern is a student or recent graduate who works with a company or organization on data science projects while working from a location outside the main office, typically from home. Their tasks often include analyzing large datasets, creating data visualizations, building statistical models, and supporting the team with data-driven insights. Remote internships offer flexibility and allow interns to gain real-world experience in data science while collaborating with teams using digital communication and project management tools. This type of internship helps interns build valuable technical and soft skills that are essential in the evolving data science field.

What types of projects does a remote data science intern typically work on, and how do they collaborate with their team?

Remote Data Science Interns often work on projects such as data cleaning, exploratory data analysis, building predictive models, or developing data visualizations. Collaboration typically occurs through virtual meetings, shared code repositories, and project management tools, allowing interns to interact regularly with data scientists, engineers, and business analysts. Interns are usually assigned a mentor or supervisor who provides guidance and feedback, helping them align their work with team objectives. This setup not only enhances technical growth but also fosters communication and teamwork skills essential for future roles.

What is the difference between Remote Data Science Intern vs Remote Data Analyst?

AspectRemote Data Science InternRemote Data Analyst
Required CredentialsTypically pursuing or recently completed a degree in Data Science, Computer Science, or related fieldsOften holds a degree in Statistics, Mathematics, or related areas; may have certifications in data analysis tools
Work EnvironmentInternship programs, often part-time or project-based, with mentorshipFull-time or part-time remote roles, focusing on data interpretation and reporting
Employer & Industry UsageUsed by tech companies, startups, and research institutions for entry-level talentCommon across finance, marketing, healthcare, and tech industries for data-driven decision making

The main difference between a Remote Data Science Intern and a Remote Data Analyst lies in experience and scope. Interns are typically students or recent graduates gaining hands-on experience, while Data Analysts are more experienced professionals focused on analyzing and interpreting data to support business decisions. Both roles often work remotely and require familiarity with data tools, but their responsibilities and career stages differ.

What are the key skills and qualifications needed to thrive as a remote data science intern, and why are they important?

To thrive as a Remote Data Science Intern, you need a solid background in statistics, programming (Python or R), and data analysis, typically supported by coursework in data science or related fields. Familiarity with tools like Jupyter Notebook, SQL databases, and version control systems such as Git is often expected. Strong problem-solving abilities, self-motivation, and clear communication skills help you collaborate effectively and manage tasks independently in a remote setting. These skills ensure you can analyze data accurately, contribute to team projects, and adapt to the demands of remote work environments.

What are the most commonly searched types of Remote Data Science jobs in Alberta?

The most popular types of Remote Data Science jobs in Alberta are:

What are popular job titles related to Remote Data Science Intern jobs in Alberta?

For Remote Data Science Intern jobs in Alberta, the most frequently searched job titles are:

What job categories do people searching Remote Data Science Intern jobs in Alberta look for?

The top searched job categories for Remote Data Science Intern jobs in Alberta are:

What cities in Alberta are hiring for Remote Data Science Intern jobs?

Cities in Alberta with the most Remote Data Science Intern job openings:

Infographic showing various Remote Data Science Intern job openings in Alberta as of August 2026, with employment types broken down into 43% Internship, and 57% Full Time. Highlights an 100% Remote job distribution.

Intermediate Spatial Ecologist

WSP

Calgary, AB • On-site, Remote

CA$43.90 - CA$60.40/hr

Full-time

Re-posted 12 days ago


WSP rating

8.6

Company rating: 8.6 out of 10

Based on 69 frontline employees who took The Breakroom Quiz

17th of 72 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

WSP is seeking an Intermediate Spatial Ecologist with strong geospatial and analytical expertise to join our Ecology team. The successful candidate will join a team committed to advancing innovative approaches to ecological assessment and environmental planning. In this role, you will help integrate emerging technologies-including artificial intelligence (AI), machine learning, remote sensing, Earth observation, and cloud-based geospatial analytics-with traditional ecological expertise to improve the efficiency, accuracy, and scalability of environmental decision-making.

At WSP, you'll be part of a growing team of environmental professionals working on complex projects across Canada and beyond, helping clients address today's environmental challenges while preparing for tomorrow's opportunities

This position is hybrid and can be located in any of our Canadian offices, with the possibility of remote for the right candidate.


Your Impact

  • Analyze ecological and spatial datasets and interpret results to support projects across multiple sectors.
  • Develop, manage, and execute Python and GIS workflows, including spatial modeling, geoprocessing, automation, and map production.
  • Develop and apply machine learning, AI, and advanced analytical approaches to ecological modeling, biodiversity assessment, species distribution modeling, habitat mapping, and cumulative effects analysis.
  • Create clear and compelling data visualizations using Python and/or R.
  • Integrate remote sensing datasets, including satellite imagery, LiDAR, UAV/drone imagery, and Earth observation products, with field-based ecological data to support environmental assessments and monitoring programs.
  • Conduct exploratory data analysis and statistical analyses using Python and/or R.
  • Prepare technical reports, ensuring transparent documentation of analytical methods and results.
  • Contribute to data management, QA/QC processes, and reproducible analytical workflows.
  • Collaborate with multidisciplinary teams and contribute to project coordination and execution.

The Skills That Set You Apart

Minimum Qualifications

  • Master's degree in Ecology, Data Science, Environmental Science, or a related field.
  • 5-10 years of relevant experience in applied spatial ecology or environmental consulting.
  • Strong proficiency in GIS platforms such as ArcGIS Pro or QGIS, including spatial analysis and geoprocessing.
  • Strong programming skills in Python for data analysis, automation, and visualization.
  • Demonstrated ability to analyze ecological data and interpret results in an applied context.
  • Experience preparing technical reports and communicating analytical results to diverse audiences.
  • Experience working with large geospatial and ecological datasets, including remote sensing and Earth observation products.

Preferred Qualifications

  • Proficiency in R for statistical analysis and ecological modeling.
  • Experience with statistical modeling approaches such as resource selection functions, occupancy models, habitat suitability models, or connectivity analyses.
  • Experience working with large and diverse ecological datasets, including GPS telemetry, wildlife surveys, and remote sensing data.
  • Strong data management, visualization, and reproducibility practices.
  • Excellent communication and stakeholder engagement skills.
  • Familiarity with cloud-based geospatial platforms such as Google Earth Engine, Microsoft Planetary Computer, or equivalent environments.
  • Experience developing automated workflows for biodiversity monitoring, habitat mapping, land-cover classification, change detection, or cumulative effects assessment.
  • Experience integrating AI-assisted approaches for image analysis, acoustic monitoring, camera trap processing, species detection, or ecological forecasting.

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: $48.10 - $63.70 per hour
MB & ON: $43.90 - $60.40 per hour
NB, NL, NS, PE & QC: $43.40 - $57.70 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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