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Intern Data Scientist Machine Learning Jobs in Vancouver, BC

Data Scientist III

Vancouver, BC ยท Hybrid

CA$107K - CA$132K/yr

Design, develop, and deploy machine learning models, advanced analytics, and Generative AI ... Master's or PhD in Data Science, Computer Science, Statistics, or a related quantitative field ...

Title and Summary Data Scientist II Overview The Security Solutions Data Science team is responsible for developing Artificial Intelligence (AI) and Machine Learning (ML) models that power Mastercard ...

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

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

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

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. Traditional approaches to small molecule drug discovery require over ten years ... We are searching for a chemical data scientist / cheminformatician to join us in our quest to ...

Machine Learning Scientist

Vancouver, BC ยท Remote

CA$150K - CA$200K/yr

Variational AI is searching for a machine learning scientist to join us in our quest to radically accelerate the development of new drugs through machine learning excellence. For over six years, we ...

Machine Learning Engineer

Vancouver, BC ยท On-site

$128 - $192/hr

Bachelor's (Master's or PhD preferred) degree in engineering, data/computer science, physics, math or equivalent * 3+ yrs experience as a member of a data science, machine learning engineering, or ...

Applying Data Science and Machine Learning best practices to develop robust models and support data-driven decision-making across business domains * Applying machine learning and data science ...

Applying Data Science and Machine Learning best practices to develop robust models and support data-driven decision-making across business domains * Applying machine learning and data science ...

Title and Summary Director, Data Science Overview The Security Solutions Data Science team is responsible for delivering Artificial Intelligence (AI) and Machine Learning (ML) models that support ...

Machine Learning Engineer

Vancouver, BC ยท Hybrid

CA$129K - CA$174K/yr

Summary: We are currently seeking a Machine Learning Engineer to join our rapidly growing ... Collaborate cross-functionally with engineering, product management, operations and data science to ...

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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 the most commonly searched types of Data Scientist Machine Learning jobs in Vancouver, BC?

The most popular types of Data Scientist Machine Learning jobs in Vancouver, BC are:

What are popular job titles related to Intern Data Scientist Machine Learning jobs in Vancouver, BC?

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

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

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

Data Scientist III

Teck

Vancouver, BC โ€ข Hybrid

CA$107K - CA$132K/yr

Full-time

Re-posted 25 days ago


Job description

Location: Vancouver, BC, Canada
Employment Type: Regular Full Time
Workplace Type: Hybrid

About our Vancouver Office

Located in the heart of downtown Vancouver, between the Pacific Ocean and the Coast Mountains, Teckโ€™s Corporate Office sits in one of Canadaโ€™s most culturally diverse cities. 

Surrounded by world-renowned nature and globally inspired cuisine, the office brings together many of Teckโ€™s corporate functions - all working toward Teckโ€™s purpose of providing the essential resources the world relies on.

Role Overview

Reporting to the Lead, Data Scientist, the Data Scientist who joins the team is someone who excels in statistical modeling, machine learning, and AI, while also possessing strong capabilities in productionizing solutions and implementing mature workflows.

The successful candidate will work on end-to-end data science projects, from data exploration and model development to deployment and monitoring in production environments. Domain expertise in industrial contexts such as processing and mining is a significant advantage. Strong communication skills are essential to effectively share insights, educate stakeholders, and demonstrate the value of developed solutions.

Don't miss out on this outstanding opportunity to be part of one of Canada's leading mining companies and join our team!

Key Responsibilities
  • Be a courageous safety leader, adhere to and sponsor safety and environmental rules and procedures.
  • Design, develop, and deploy machine learning models, advanced analytics, and Generative AI solutions in production environments.
  • Implement and maintain robust workflows, including experiment tracking, model versioning and performance evaluation, production model monitoring, drift detection, and retraining strategies.
  • Collaborate with cross-functional teams to understand business challenges and translate them into data-driven solutions.
  • Collect, process, and analyze large-scale datasets from diverse sources using modern data engineering practices.
  • Ensure scalability, reliability, and security of data pipelines and deployed models.
  • Communicate findings clearly to technical and non-technical stakeholders, emphasizing model interpretability, actionable insights, and a clear understanding of the key drivers behind model behavior.
  • Continuously evaluate and improve models based on feedback and evolving business needs.
  • Stay current with emerging technologies and best practices in data science, machine learning, and industrial analytics.
Qualifications
  • Masterโ€™s or PhD in Data Science, Computer Science, Statistics, or a related quantitative field, with strong practical experience in applying Data Science techniques to real world problem settings.
  • 5+ years of experience in data science, with proven expertise in machine learning and statistical modeling. Experience with causal inference or causal modeling approaches is a plus.
  • Hands-on experience in productionizing ML solutions and implementing MLOps practices (e.g., CI/CD for ML, model monitoring, experiment tracking).
  • Strong programming skills in Python and proficiency with ML frameworks (Scikit-learn).
  • Experience with cloud platforms (e.g. Microsoft Azure), modern analytics platforms such as Databricks, and containerization (Docker).
  • Solid understanding of data development principles and distributed systems.
  • Familiarity with industrial domains such as processing and mining is highly desirable.
  • Excellent communication and presentation skills to convey technical concepts to diverse audiences.
  • Ability to work collaboratively in agile teams and adapt to fast-paced environments.
  • Passion for innovation, continuous improvement, and a strong focus on delivering tangible value through data-driven solutions.

Pay Range: CAD $107,000 - $132,000 per year

The actual amount offered is determined based on the successful candidateโ€™s relevant experience, skills, and competencies and considers internal equity.

Why Teck

At Teck, your work mattersโ€”to the world, to our communities and to your future.


As a leading Canadian resource company, we focus on responsibly providing the metals essential for global development and the energy transition while caring for the people, communities and land that we love. We do this guided by our values that, together, form The Teck Way.

At Teck, youโ€™ll find purpose-driven work, a culture of respect and inclusion, and the opportunity to grow your career while helping build a better world.

Apply with us 

Take the next step in your career by applying for the Data Scientist III role.

We review applications on a rolling basis and encourage you to apply, even if your background doesnโ€™t match every requirement. We value diversity and are committed to an inclusive, barrier-free hiring process. Reasonable accommodations are available upon request.

Requisition ID: 54038 | Job Category: Technology | Employment Type: Regular Full Time | Location: Vancouver | Workplace Type: #LI - Hybrid