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Data Science Research Intern Jobs in Calgary, AB

CARLISLE COMPANIES

R&D Intern

Crossfield, AB · On-site

Accurately record data, processing parameters, and observations during and after laboratory runs ... Experience performing research in Chemistry, Polymer Science, Materials Science, Chemical ...

Canadian Natural

Data Science Student

Calgary, AB · On-site

Join our team as you dive into the world of data science and industrial operations! As part of our ... Opportunities to partake in initiatives such as the Intern Social Committee Check out our ...

Canadian Natural

Data Science Student

Calgary, AB

Join our team as you dive into the world of data science and industrial operations! As part of our ... Opportunities to partake in initiatives such as the Intern Social Committee Check out our ...

Seequent

Senior Data Scientist

Calgary, AB · Hybrid

About the role You will be part of Seequent Labs, a research, prototyping, and data science team with a culture of experimentation and customer engagement. As a Senior Data Scientist, you will ...

Spgi

Senior Data Scientist

Calgary, AB

CA$90K - CA$160K/yr

Own all stages of the data science project lifecycle, including: Develop, deploy, monitor, and ... Ability to perform independent research and synthesize current AI/ML research, with a track record ...

Spgi

Senior Data Scientist

Calgary, AB

CA$90K - CA$160K/yr

Own all stages of the data science project lifecycle, including: Develop, deploy, monitor, and ... Ability to perform independent research and synthesize current AI/ML research, with a track record ...

Stream Systems Ltd.

Systems Developer

Calgary, AB · Hybrid

... developers, data scientists and testers towards transitioning AI/ML, simulation models, and data pipelines from research PoC development through to product delivery. The role's direct ...

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Data Science Research Intern information

What does a data science research intern do?

A Data Science Research Intern works on analyzing data, building predictive models, and supporting research projects under the guidance of experienced data scientists. Their tasks often include cleaning and visualizing data, implementing machine learning algorithms, and evaluating model performance. Interns may also help with literature reviews, prototyping new solutions, and presenting findings to the team. This role provides hands-on experience with real-world datasets and the opportunity to learn industry-standard tools and techniques.

What skills and qualifications are needed to thrive as a data science research intern?

To thrive as a Data Science Research Intern, you need a solid grounding in statistics, programming (typically Python or R), and data analysis, usually backed by coursework or a degree in a quantitative field. Familiarity with tools like Jupyter Notebooks, machine learning libraries (e.g., scikit-learn, TensorFlow), and version control systems (e.g., Git) is commonly expected. Strong problem-solving abilities, curiosity, and effective communication make candidates stand out by enabling them to tackle complex problems and share insights clearly. These skills are essential for contributing meaningful research, collaborating with team members, and translating data findings into actionable results.

How do data science research interns typically collaborate with full-time data scientists and engineering teams?

Data Science Research Interns often work closely with full-time data scientists to support ongoing projects, contribute to research discussions, and assist in developing analytical models. They may also interact with engineering teams to understand data pipelines, verify data integrity, and help implement prototypes into production environments. Regular meetings, code reviews, and paired problem-solving sessions are common, providing interns with valuable mentorship and exposure to real-world workflows. This collaborative environment helps interns build both technical and communication skills while making meaningful contributions to the team's goals.

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

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

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For Data Science Research Intern jobs in Calgary, AB, the most frequently searched job titles are:

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Data Science Research Intern jobs near you
Infographic showing various Data Science Research Intern job openings in Calgary, AB as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

R&D Intern

CARLISLE COMPANIES

Crossfield, AB • On-site

Full-time

Re-posted 9 days ago

Job description

About Us:
At Plasti-Fab, a Carlisle Company, we've been supporting sustainable building for over 50 years with high-quality insulation solutions used in commercial, residential, and infrastructure construction across North America. Learn more about our companyhere.
Now part of Carlisle Weatherproofing Technologies (CWT), we're proud to be contributing to industry-leading innovation, sustainability, and performance. With a strong focus on energy efficiency, labor savings, and re-roofing trends, we're positioned for continued growth through Carlisle'sVision 2030strategy.
Now's the perfect time to join us!As a fully vertically integrated EPS manufacturer, our operations span over 50 locations across Canada and North America. Our recent expansions - including in-house resin production and cutting-edge technical labs-underscore our commitment to quality and environmental responsibility.

Job Summary

The Research Intern will support the commissioning, operation, and development of a laboratory-scale polymerization reactor. The intern will assist with experimental planning, raw-material preparation, reactor operation under supervision, post-processing, sample characterization, data analysis, and documentation. The role is intended to provide hands-on experience in polymerization, plastics processing, and product-development research.

Duties and Responsibilities:

Laboratory polymerization

  • Perform lab polymerization tasks, including material weighing, measuring, and addition of raw materials and chemical ingredients in laboratory scale polymerization runs
  • Operate lab scale polymer post-processing equipment including spin driers, sieve shakers, and coating mixers.
  • Assist with equipment teardown, cleaning, and reassembly after processing runs
  • Accurately record data, processing parameters, and observations during and after laboratory runs
  • Follow safety protocols and Standard Operating Procedures (SOPs) for equipment operation and material handling

Research and Learning

  • Perform literature and patent research to provide input in product development and formulation initiatives
  • Develop understanding of current polymerization process and formulation
  • Develop understanding of final product parameters and how these are affected by formulation changes

Laboratory Operations Support & Collaboration

  • Assist in characterization of material properties such as particle size analysis, MWD and conversion rate.
  • Develop understanding of physical and chemical testing of raw materials, intermediate products, and final products
  • Assist with material and sample pickup and staging as needed
  • Contribute to team projects and complete additional tasks as assigned

Required Knowledge/Skills/Abilities:

  • Ability to perform laboratory chemical reactions under trained supervision and, after demonstrated competency and authorization, carry out defined procedures independently.
  • Ability to work independently on approved tasks and collaboratively with the R&D team. Reactor charging, start-up, shutdown, and abnormal-condition response must follow established supervision and lone-work requirements.
  • Ability to perform literature research and apply knowledge to real world applications
  • Effective communication skills (written and verbal)
  • Strong foundational understanding of chemistry, chemical engineering, polymer science, materials science, or related scientific principles.
  • Ability to work independently (including working alone when required), as well as in team environment
  • Strong attention to detail
  • Strong organizational and time management skills
  • Willingness to learn new equipment, processes, and technologies
  • Basic computer proficiency (e.g., Microsoft Excel, Word)

Education and Experience:

Education

  • Currently pursuing or recently completed a bachelor's, master's, or PhD degree in Chemical Engineering, Chemistry, Polymer Science, Materials Science, or a related field.
  • Experience in performing chemical reactions in a lab setting
  • Experience performing research in Chemistry, Polymer Science, Materials Science, Chemical Engineering, or a related field

Experience

  • No prior professional experience required

Preferred

  • Prior professional or post-doc laboratory experience in a research setting
  • Exposure to polymer processing, compounding, or manufacturing environments
  • Interest in materials science, plastics technology, and product development

Working Conditions:

  • Primarily operates in a research/QC laboratory setting
  • Requires flexible work hours, i.e. shift work during lab polymerization runs and regular work hours during cleanup and characterization days. Full polymerization run takes 12 hours and will require overlapping shifts
  • No travel required
  • Equipment used includes: laboratory scale polymerization reactor, reactor temperature and mixing control, laboratory reagents, laboratory scales/balances, and other polymer processing equipment

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