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Intern Data Scientist Machine Learning Jobs in Edmonton, AB

This role is required to be a co-op placement position โ€ข Diploma in Computer Science or ... We aim to live each day by our Tundra/Wajax Core Values of 'Learning Matters', 'Safety, No ...

This role is required to be a co-op placement position โ€ข Diploma in Computer Science or ... We aim to live each day by our Tundra/Wajax Core Values of 'Learning Matters', 'Safety, No ...

Actuarial Analyst (Auto/Property Pricing)

Edmonton, AB ยท On-site +1

CA$74K - CA$132K/yr

Understands and builds models using modern modeling techniques, including machine learning models ... Knowledge of database structures and logic and use of data science and statistical tools such as ...

... life sciences sector. We are seeking a detail-oriented Coordinator, Complianceto support ... Ensure ALCOA+ data integrity principles are followed. * Perform periodic document reviews. Batch ...

Catastrophe Risk Specialist

Edmonton, AB ยท Hybrid

CA$85K - CA$115K/yr

Analyze historical data, scientific research, and insurance claims to enhance model accuracy ... Proactively share knowledge in catastrophe-related areas, create learning experiences and foster ...

Senior AI Architect

Edmonton, AB ยท Hybrid

CA$130K - CA$160K/yr

You will be working at a company with employees who have multiple years of industrial and academic experience in data science, software engineering, product development, and machine learning fields.

Propose and support network experiments in partnership with tech & data science teams. Assess ... Keep Learning: Access world-class training resources to power your success. * Perks Galore:

Showing results 41-60

Intern Data Scientist Machine Learning information

What does an intern data scientist 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 types of projects and responsibilities can an intern data scientist 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 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 are popular job titles related to Intern Data Scientist Machine Learning jobs in Edmonton, AB?

For Intern Data Scientist Machine Learning jobs in Edmonton, AB, the most frequently searched job titles are:

What job categories do people searching Intern Data Scientist Machine Learning jobs in Edmonton, AB look for?

The top searched job categories for Intern Data Scientist Machine Learning jobs in Edmonton, AB are:

Infographic showing various Intern Data Scientist Machine Learning job openings in Edmonton, AB as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Project Manager, Medical Device R&D

Pulse Medica

Edmonton, AB โ€ข Hybrid

Full-time

Re-posted 5 days ago


Job description

Project Manager, Medical Device R&D

PulseMedica is advancing the next generation of ophthalmic medical device technology, and we're looking for a Project Manager who's energized by complex, multidisciplinary engineering. You'll join a team working at the intersection of realtime imaging, AIdriven analysis, precision laser systems, and advanced hardware development - all with the goal of improving vision outcomes for patients.


In this role, reporting to the Senior Project Manager, you'll guide crossfunctional initiatives across software, machine learning, optics, electronics, firmware, and mechanical design. You'll bring structure, clarity, and alignment to fastmoving technical teams working on breakthrough innovations.


About Us

PulseMedica is redefining the landscape of ophthalmic medical device technology. As a fourtime Great Place to Work Certified company, we've built a highly collaborative environment where the team accelerates towards breakthrough innovation. Our team develops advanced imaging and laserbased medical device systems that combine classical computer vision, deep learning, and 3D ocular mapping to address diseases that lead to vision loss. By uniting cuttingedge research with scalable engineering, we're creating treatment solutions that position PulseMedica at the forefront of the next generation in eye care.


The Opportunity

As PulseMedica continues to accelerate, you'll play a key role in shaping how we plan and execute product development. You'll work on new technologies, concept engineering, and full lifecycle development of nextgeneration devices. This is an exciting opportunity for someone who wants to contribute to a rapidly evolving deeptech environment while building a product that will transform eye care.


The person will be responsible for:

  • Developing and maintaining integrated project plans, ensuring projects are delivered on time, within scope, and within budget.
  • Owning projects execution across the product development lifecycle, including concept development and feasibility assessment, requirements, design, verification & validation, pre-clinical and clinical activities, and manufacturing transfer.
  • Driving project scope definition, objectives, key-results, schedules, and success metrics in collaboration with technical and business stakeholders.
  • Managing cross-functional teams across Software, Hardware, Systems Engineering, Quality, Regulatory Affairs, and Operations.
  • Owning critical path analysis, dependency management, resource planning, and schedule recovery strategies.
  • Leading phase-gate reviews (SRR, PDR, CDR, TRR, Design Reviews, etc.) and ensuring readiness criteria are met.
  • Maintaining project documentation and records in accordance with company Quality Management System requirements.
  • Identifying, assessing, and mitigating project risks, issues, and dependencies, while driving timely resolution of execution challenges.
  • Monitoring project performance using appropriate planning and tracking tools, metrics, and reporting mechanisms.
  • Driving Agile, Waterfall, or hybrid development methodologies as appropriate for the project and organizational needs.
  • Facilitating alignment between technical teams and leadership while maintaining focus on company objectives and product milestones.

Basic Skills and Qualifications

  • Bachelor's degree in Engineering, Science, Health Sciences, Business, or a related technical field.
  • 3+ years of project management experience.
  • Experience working in highly regulated industries such as medical devices, pharmaceuticals, aerospace, automotive, or defense.
  • Experience using project management tools such as Jira, MS Project, Confluence, and Microsoft Office.
  • Strong understanding of technical documentation, engineering development processes, and product development workflows.
  • Strong analytical, organizational, problem-solving, and communication skills.
  • Ability to be physically present in the office at least three days per week.

Highly Desired Skills and Qualifications

  • PMP, PRINCE2, Agile, or Scrum certification.
  • Experience in medical device development and familiarity with design controls, risk management, verification and validation activities, and manufacturing transfer.
  • Working knowledge of ISO 13485, FDA Design Controls (21 CFR 820), IEC 62304, ISO 14971, and related medical device development standards.
  • Experience leading projects in startup or high-growth technology environments.
  • Ability to understand technical requirements, challenge assumptions, and effectively engage with engineering teams on development trade-offs and execution strategies.
  • Experience supporting clinical studies, regulatory submissions, or commercialization activities.
  • Previous experience managing projects involving both hardware and software development teams.


Anticipated Start Date: As soon as a suitable candidate is found

Duration: Full time Permanent (40 hours per week)

Salary: Commensurate to experience and qualifications

Location: Edmonton, Alberta, Canada (Onsite)


What you can expect from PulseMedica:

  • Competitive compensation, group benefits and the option to participate in our employee stock option plan
  • Free on-site gym (Jackson's Gym)
  • A role that contributes to helping change people's lives by enhancing their vision
  • A unique opportunity to build, grow, and be part of a team that is going to revolutionize a multi-billion dollar industry
  • Hybrid work
  • Growth Opportunities to build a small team
  • Monthly team events
  • Working for a company that was recently Great Place to Work certified!

We believe that diverse teams perform better and that fostering an inclusive work environment is a key part of growing a successful team. We welcome people of diverse backgrounds, experiences, and perspectives to apply for this position.