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Intern Data Scientist Machine Learning Jobs in Calgary, AB

Role: Data Scientist - Specialist (Contract) Length: 1 year (potential for extension) Location ... You will design and implement advanced statistical and machine learning models while helping to ...

Previous experience with Machine Learning, Data Science and solving problems at scale Perks: * Competitive Salary * Individual performance bonus * Health and dental benefits * 3 weeks' vacation

Role: Machine Learning Engineer - Contract Length: 1 year (potential for extension) Location ... Providing software development expertise to data science and analytics teams * Translating business ...

Previous experience with Machine Learning, Data Science and solving problems at scale Perks: * Competitive Salary * Individual performance bonus * Health and dental benefits * 3 weeks' vacation

Machine Learning Engineer Calgary, AB, Canada Full-time Company Description Viridien is a global ... Strong skills in statistics and programming, as well as knowledge of data science and software ...

Senior Data Scientist

Calgary, AB ยท Hybrid

CA$160K - CA$184K/yr

Innovate new techniques in statistical analysis, machine learning, and data mining to unlock opportunities in our products. * Cross-Functional Influence & Culture: * Build a scientific culture in the ...

Data Scientist

Calgary, AB ยท Hybrid

CA$131K - CA$150K/yr

We aren't looking for just any traditional Data Scientist to join this team. We're looking for ... Employ statistical analysis, machine learning, GenAI, LLMs, etc. to unlock new product ...

New

Build custom machine learning models and natural language processing systems using state-of-the-art ... M.S. or Ph.D. in Computer Science, Data Science, or related quantitative field. * 3+ years ...

Staff Data Scientist

Calgary, AB ยท Hybrid

CA$192K - CA$230K/yr

Skills & Qualifications * 8+ years of experience in Data Science, Machine Learning, or a highly quantitative field, with a track record of deploying models that drove significant revenue or cost ...

You will work closely with a team of data scientists and data engineers to deploy solutions and drive innovation using machine learning and NLP techniques. The ideal candidate has a deep ...

Senior Data Scientist Location: Princeton, NJ, New York, N, or Charlottesville, VA. Toronto, ON ... You will be part of a dynamic team that solves diverse problems using applied machine learning and ...

Senior Data Scientist

Calgary, AB ยท On-site

CA$90K - CA$160K/yr

Senior Data Scientist Location: Princeton, NJ or New York, N, or Charlottesville, VA. Toronto, ON ... You will be part of a dynamic team that solves diverse problems using applied machine learning and ...

Senior Data Scientist Location: Princeton, NJ or New York, N, or Charlottesville, VA. Toronto, ON ... You will be part of a dynamic team that solves diverse problems using applied machine learning and ...

Senior Data Scientist Location: Princeton, NJ, New York, N, or Charlottesville, VA. Toronto, ON ... You will be part of a dynamic team that solves diverse problems using applied machine learning and ...

Lead Machine Learning Engineer

Calgary, AB ยท Remote

$225K - $260K/yr

This includes ensuring data is efficiently loaded, distributed, and processed across large GPU ... Work closely with ML scientists and other engineers to integrate new models, experiments, and ...

As a Machine Learning Specialist on the team, you will combine your expert knowledge of data science with your strong ML Ops and software development skills to automate and facilitate data ...

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Intern Data Scientist Machine Learning information

What types of projects and responsibilities can an Intern Data Scientist specializing in Machine Learning expect to work on?

As an Intern Data Scientist focused on Machine Learning, you will often assist in tasks such as data cleaning, feature engineering, and developing or testing machine learning models under the supervision of senior team members. You may also be involved in exploratory data analysis and help interpret model results to provide actionable insights. Interns typically collaborate closely with data engineers, analysts, and software developers, gaining exposure to end-to-end machine learning pipelines. This hands-on experience provides valuable learning opportunities and helps build the foundational skills needed for future roles in data science.

What are the key skills and qualifications needed to thrive as an Intern Data Scientist (Machine Learning), and why are they important?

To thrive as an Intern Data Scientist (Machine Learning), you need a solid understanding of statistics, programming skills (typically in Python or R), and foundational knowledge of machine learning algorithms, often supported by coursework or relevant projects. Familiarity with tools like scikit-learn, TensorFlow, Jupyter notebooks, and version control systems (e.g., Git) is commonly expected. Strong analytical thinking, curiosity, and effective communication skills help you interpret data insights and work collaboratively within a team. These abilities are crucial for translating data into actionable solutions and contributing to impactful machine learning projects.

What does an Intern Data Scientist in Machine Learning do?

An Intern Data Scientist in Machine Learning assists in analyzing large datasets, building predictive models, and extracting insights to support business decisions. They often work under the guidance of experienced data scientists to clean data, implement machine learning algorithms, and evaluate model performance. Their responsibilities may also include data visualization and reporting findings to team members. This role provides hands-on experience with real-world data science problems and tools, helping interns develop essential technical and analytical skills.

What is the difference between Intern Data Scientist Machine Learning vs Intern Data Analyst?

AspectIntern Data Scientist Machine LearningIntern Data Analyst
Required SkillsBasic programming, statistics, machine learning conceptsData analysis, Excel, SQL, visualization tools
Work EnvironmentResearch-focused, model development, algorithm testingData cleaning, reporting, dashboard creation
Common Industry UsageTech, finance, healthcareRetail, marketing, finance

Intern Data Scientist Machine Learning roles focus on developing and testing machine learning models, requiring knowledge of algorithms and programming. Intern Data Analyst positions emphasize data cleaning, analysis, and visualization. Both roles are entry-level but differ in technical depth and project focus, catering to different career paths within data-driven industries.

What job categories do people searching Intern Data Scientist Machine Learning jobs in Calgary, AB look for? The top searched job categories for Intern Data Scientist Machine Learning jobs in Calgary, AB are:
Data Scientist - Specialist

Data Scientist - Specialist

Hays

Calgary, AB โ€ข Hybrid

Other

Posted 8 days ago


Job description

Role: Data Scientist โ€“ Specialist (Contract)

Length: 1 year (potential for extension)

Location: Calgary (Hybrid, 2 days onsite)


Your New Company

An established and highly respected North American enterprise is investing heavily in its Data & Analytics capabilities to drive innovation and business transformation. With a strong focus on modern data platforms, advanced analytics, and scalable AI solutions, the organization is building out a high-impact team focused on delivering enterprise-wide insights and data-driven decision-making.


Your New Role

As a Data Scientist โ€“ Specialist, you will play a key leadership role in advancing the organizationโ€™s data science and analytics capabilities. You will design and implement advanced statistical and machine learning models while helping to shape the broader analytics framework and Big Data strategy.

You will work closely with Data Engineers, domain experts, and cross-functional stakeholders to build scalable analytical products and deliver value through iterative MVP-based releases.

Key responsibilities include:

  • Designing, developing, and deploying machine learning models and algorithms to drive enterprise analytical products
  • Leading the rollout and adoption of Big Data and advanced analytics capabilities across the business
  • Applying advanced statistical and mathematical techniques to solve complex business problems
  • Partnering with Data Engineers and SMEs to understand raw data, engineer features, and optimize model performance
  • Identifying patterns, anomalies, and optimization opportunities using advanced data science techniques
  • Collaborating with cross-functional teams to deliver scalable, production-ready solutions using agile/MVP methodologies
  • Translating complex analytical findings into clear, actionable insights for business stakeholders through visualizations and storytelling
  • Influencing and promoting data-driven decision-making and analytics maturity across the organization


What Youโ€™ll Need to Succeed

  • Strong experience in data science, machine learning, and statistical modeling in enterprise environments
  • Deep expertise in statistical analysis, mathematical modeling, and algorithm development
  • Hands-on experience working with large-scale datasets and modern data platforms (Big Data environments)
  • Strong proficiency in Python (or similar language) and data science libraries
  • Experience working closely with Data Engineering teams on feature engineering and data pipelines
  • Proven ability to deliver end-to-end analytical solutionsโ€”from ideation through production
  • Strong stakeholder communication skills with the ability to translate technical findings into business insights
  • Experience working in agile environments and delivering MVP-based product releases
  • Bachelorโ€™s or Masterโ€™s degree in Computer Science, Statistics, Mathematics, Engineering, or a related field


What Youโ€™ll Get in Return

  • Opportunity to work on high-impact enterprise analytics and AI initiatives
  • Exposure to cutting-edge data platforms and advanced data science use cases
  • Collaborative, cross-functional team environment with strong technical leadership
  • Competitive compensation and long-term contract potential
  • A role where you can directly influence organizational data strategy and innovation


What You Need to Do Now

If youโ€™re interested in this opportunity, please apply directly or reach out with your updated resume to learn more.