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Internship Data Science R Jobs in Alberta (NOW HIRING)

Viridien

Machine Learning Engineer

Calgary, AB

Strong skills in statistics and programming, as well as knowledge of data science and software ... Strong programming skills within one or more of these development languages - C / C++ / R / Java ...

WSP

Intermediate Spatial Ecologist

Calgary, AB · On-site +1

CA$43.90 - CA$60.40/hr

Conduct exploratory data analysis and statistical analyses using Python and/or R. * Prepare ... Master's degree in Ecology, Data Science, Environmental Science, or a related field. * 5-10 years ...

WSP

Intermediate Spatial Ecologist

Calgary, AB · On-site +1

CA$43.90 - CA$60.40/hr

Conduct exploratory data analysis and statistical analyses using Python and/or R. * Prepare ... Master's degree in Ecology, Data Science, Environmental Science, or a related field. * 5-10 years ...

Slrconsulting

Environmental Data Manager

Calgary, AB

CA$70K - CA$90K/yr

Bachelor's Degree in Environmental Engineering/Sciences preferred. Experience in the following ... R or similar). * Experience with designing and automating digital workflows. * Excellent written ...

Wawanesa Insurance

Catastrophe Risk Specialist

Edmonton, AB · Hybrid

CA$85K - CA$115K/yr

Analyze historical data, scientific research, and insurance claims to enhance model accuracy ... Proficiency in catastrophe modeling software, programming languages such as R, SQL, or similar for ...

Wawanesa Insurance

Catastrophe Risk Specialist

Calgary, AB · Hybrid

CA$85K - CA$115K/yr

Analyze historical data, scientific research, and insurance claims to enhance model accuracy ... Proficiency in catastrophe modeling software, programming languages such as R, SQL, or similar for ...

AgeCare

Dietitian - Agecare Skypointe

Calgary, AB · On-site

... data for service indicators, progress reports and evaluations, and maintain clinical records of ... or Food Sciences from an accredited Canadian University; and dietetic internship program ...

AECOM

Senior Air Quality Technical Lead

Calgary, AB

... data workflows using tools such as Python or R. Qualifications Minimum Qualifications • Bachelor's degree in Environmental Science, Engineering, or a related field. • 10+ years of relevant ...

AECOM

Senior Air Quality Technical Lead

Edmonton, AB

... data workflows using tools such as Python or R. Qualifications Minimum Qualifications • Bachelor's degree in Environmental Science, Engineering, or a related field. • 10+ years of relevant ...

Simplot

R. Simplot Company is a diverse, privately held organization, with roots firmly planted in ... Execute consultations, data entry and administration for Field Moisture Service with customers ...

Intact Financial

Senior Analyst, Actuarial

Calgary, AB · Hybrid

... data science, reserving and more. * Drive change by improving work processes and making substantial ... Good knowledge of Python, VBA, R or SAS. * Desirable competencies: adaptability, innovative ...

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Internship Data Science R information

What types of projects can I expect to work on during a Data Science Internship at R?

As a Data Science intern at R, you will typically be involved in projects such as data cleaning, exploratory data analysis, and building predictive models under the guidance of experienced data scientists. You may also contribute to developing data visualizations and presenting insights to stakeholders. Interns often collaborate with cross-functional teams, including software engineers and business analysts, which provides valuable exposure to real-world data challenges and team-based problem solving.

What is the difference between Internship Data Science R vs Data Analyst Intern?

AspectInternship Data Science RData Analyst Intern
Required SkillsProficiency in R, statistical analysis, data visualizationExcel, SQL, basic statistical knowledge
Work EnvironmentData science teams, research projects, analytics departmentsBusiness units, marketing, finance, or operations teams
Industry UsageTech, finance, healthcare, research institutionsRetail, marketing, consulting, finance

Internship Data Science R focuses on applying R programming for statistical analysis and data modeling, often in research or technical environments. Data Analyst Internships emphasize data cleaning, visualization, and reporting using tools like Excel and SQL. Both roles require analytical skills but differ in technical depth and industry focus.

What is an Internship Data Science R?

An Internship Data Science R is a temporary position for students or recent graduates to gain practical experience in data science, with a focus on using the R programming language. Interns typically work under the guidance of experienced data scientists, assisting with data cleaning, analysis, visualization, and possibly building statistical models. This role helps interns develop technical and analytical skills, and provides exposure to real-world data-driven projects, often found in industries like finance, healthcare, or technology.

What are the key skills and qualifications needed to thrive as an Internship Data Science R, and why are they important?

To thrive as an Internship Data Science R, you need a solid grounding in statistics, data analysis, and programming with R, typically supported by coursework or a degree in a quantitative field. Familiarity with R packages (like tidyverse, ggplot2), data visualization tools, and version control systems such as Git is often required. Strong problem-solving skills, attention to detail, and effective communication help interns translate data insights into actionable recommendations. These abilities are crucial for supporting data-driven decision-making and contributing meaningfully to project teams in a professional environment.
What cities in Alberta are hiring for Internship Data Science R jobs? Cities in Alberta with the most Internship Data Science R job openings:
Internship Data Science R jobs near you
Machine Learning Engineer

Machine Learning Engineer

Viridien

Calgary, AB

Full-time

Re-posted 4 days ago

Job description

Viridien (www.viridiengroup.com) is an advanced technology, digital and Earth data company that pushes the boundaries of science for a more prosperous and sustainable future. With our ingenuity, drive and deep curiosity we discover new insights, innovations, and solutions that efficiently and responsibly resolve complex natural resource, digital, energy transition and infrastructure challenges.

Machine Learning Engineer

Calgary, AB, Canada

Full-time

Company Description

Viridien is a global technology and HPC leader that provides data, products, services and solutions in Earth science, data science, sensing and monitoring. Our unique portfolio supports our clients in efficiently and responsibly solving complex digital, energy transition, natural resource, environmental, and infrastructure challenges for a more sustainable future.

Job Description

Viridien is looking for a Machine Learning (ML) Engineer to help us create artificial intelligence systems and tools. Machine Learning Engineer responsibilities include creating machine learning models and retraining systems. Strong skills in statistics and programming, as well as knowledge of data science and software engineering. As an integral member of our team, we highly encourage the contribution of ideas and drive in the generation of new concepts to maintain our outstanding leadership position for technology and service delivery in the marketplace.

Must be legally authorized to work in Canada.

Qualifications

Preferred Education

Degree in Computer Science, Mathematics, Physics, Electrical Engineering, or other related technical disciplines.

Key Skills & Competencies

  • Passion and aptitude for programming and technology
  • Enthusiasm for analytical and problem-solving challenges
  • Strong enterprise project experience with Machine Learning and AI
  • Strong programming skills within one or more of these development languages - C / C++ / R / Java / Python
  • Good experience with Large Language Model technologies
  • Experience within Data Engineering/Data Structuring
  • Experience creating Machine Learning Algorithms and/or Libraries.
  • Proven experience with deep learning frameworks and usage of DL libraries (TensorFlow/PyTorch)
  • Proficiency to design, build, test, and support innovative solutions.
  • Ability to define and manage project deadlines and balance workloads across a wide variety of projects.
  • Effective communication skills to keep all stakeholders regularly informed on progress.
  • Drive to innovate and have fun through collaboration and generation of ideas which lead to enhancements of our workflows.
  • Enthusiastic attitude towards learning and flexibility to adapt to new challenges or changes in direction.

Other Skills/Experience:

  • Data Visualization
  • Predictive Analysis
  • Statistical Modeling
  • Data Mining
  • Clustering & Classification
  • Data Analytics
  • Quantitative Analysis
  • Web Scraping
  • Model Development

Responsibilities:

  • Design machine learning systems
  • Collaborate with stakeholders and technology team to efficiently develop AI solutions.
  • Research and implement appropriate ML algorithms and tools.
  • Develop machine learning applications according to requirements.
  • Provide support to achieve successfully deployed models at conclusion of projects.
  • Plan and manage data analysis workflows.
  • Create charts, graphs, maps, and data visualization tools to provide an accessible way to see/understand trends, patterns, outliers, in data.
  • Select appropriate datasets and data representation methods.
  • Run machine learning tests and experiments.
  • Train and retrain systems when necessary.
  • Extend existing ML libraries and frameworks.

We see things differently. Diversity fuels our innovation, we value the unique ways in which we differ, and we are committed to equal employment opportunities for all professionals.

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