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Fall Machine Learning Co Op Jobs in Vancouver, BC

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Fall Machine Learning Co Op information

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How much do fall machine learning co op jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for fall machine learning co op in Vancouver, BC is $40.93, according to ZipRecruiter salary data. Most workers in this role earn between $17.39 and $61.84 per hour, depending on experience, location, and employer.

What is a Fall Machine Learning Co Op?

A Fall Machine Learning Co-Op is a temporary, typically full-time position for students or recent graduates to gain hands-on experience in applying machine learning techniques. These roles usually involve working with data, training models, and optimizing algorithms under the supervision of experienced engineers or researchers. They are offered during the fall semester and can last several months. Companies use these positions to provide practical learning opportunities and assess potential future hires.

What can I expect from the day-to-day experience of a Fall Machine Learning Co Op?

As a Fall Machine Learning Co Op, you'll typically work with a team of data scientists and engineers on real projects that may involve data cleaning, model development, testing, and reporting insights. Your days might include collaborating in meetings, coding, analyzing data, and presenting findings to team members or supervisors. You'll receive mentorship from experienced professionals and have opportunities to participate in code reviews and brainstorming sessions. This structure helps you build technical skills, broaden your professional network, and gain a comprehensive understanding of how machine learning is applied in a business setting.

What are the key skills and qualifications needed to thrive in the Fall Machine Learning Co Op position, and why are they important?

To thrive as a Fall Machine Learning Co Op, you should have a solid background in programming (especially Python), statistics, and machine learning concepts, often supported by coursework or hands-on projects in computer science or related fields. Familiarity with tools like TensorFlow, PyTorch, and data analysis libraries such as pandas and scikit-learn is highly valued, while certifications in AI or data science can be a plus. Strong problem-solving skills, eagerness to learn, effective communication, and teamwork help you stand out in this role. These skills are crucial for contributing to real-world projects, collaborating with technical teams, and gaining valuable experience in a fast-paced, innovation-driven environment.

What are popular job titles related to Fall Machine Learning Co Op jobs in Vancouver, BC?

For Fall Machine Learning Co Op jobs in Vancouver, BC, the most frequently searched job titles are:

What job categories do people searching Fall Machine Learning Co Op jobs in Vancouver, BC look for?

The top searched job categories for Fall Machine Learning Co Op jobs in Vancouver, BC are:

Infographic showing various Fall Machine Learning Co Op job openings in Vancouver, BC as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 26% Part Time, and 1% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $85,143 per year, or $40.9 per hour.

September 2027 - Data Enablement (CPA) - 8 month Co-op - Vancouver

Pwc

Vancouver, BC • On-site, Remote

CA$55K - CA$65K/yr

Full-time

Medical, Dental, Vision, Life, PTO

Posted 12 days ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 77 frontline employees who took The Breakroom Quiz

26th of 72 rated business consultants


Job description

Line of Service

Assurance

Industry/Sector

Not Applicable

Specialism

Conduct and Compliance

Management Level

Associate

Job Description & Summary

At PwC Canada,we'remore than a professional services firm-we'rea community of solvers tackling the world's most important problems. As a co-op in our Risk Services practice,you'llbe part of a diverse, inclusive team that values your perspective and empowers you to make a real impact.You'llbuild relationships, gain hands-on experience withcutting-edgetechnologies, and contribute to work that matters-whetherit'shelping clients navigate complex challenges or driving trust in their reporting.
Throughout your co-op term,you'llbe supported by experienced professionals and exposed to our innovative AI and digital tools to help you build future-ready capabilities in data, technology, and business acumen.You'llalso gain firsthand experience of busy season and see how risk assurance work unfolds in real time. Whetheryou'reworking from a PwC office, a client site, or remotely,you'llbe part of a collaborative environment that encourages curiosity and continuous learning. Grow here, go further.

The Opportunity: Data Enablement

At PwC, our people in data and analytics focus onleveragingdata to drive insights and helping our clients make informed business decisions. A career in our Data Enablement practice, within Risk Services, will provide you with the opportunity to empower our business partners (external clients and other PwC operational units) to solve the problems that matter usingdata-driveninsights. Being human-led, tech-powered, we put the right controls, processes, and structures inplace,so our people and clients make confident, data-backed decisions to deliver on our promise of trust.

In this role, you will:

  • Assurance Development: Redefine how PwC delivers the audit of tomorrow by building a strong understanding of commonly used client information systems (ERPs) to develop automated solutions to problemsencounteredby existing engagement teams.

  • Specialised Assurance:Engage with clients in highly specialised assurance tasks, using advanced data analysis and automation to deliver results. Includes testing of key client reports, testing over client's ERP system conversions, creating Extract-Transform-Load (ETL) pipelines and developing solutions for industry specific assurance.

  • Data Analysis: Help clients manage their data better and feel confident that the information generated from their business data is reliable and can help them make the right business decisions using advanced data analysis techniques and capabilities.

  • AcquireData:Work with clients to understand and set up andoptimizethe process toacquirecomprehensive datasets used as the foundation of PwC's audits. This includes implementing thecutting-edgetechnology (such as PwC Extract) for data extraction and transformation tofacilitateend to end automation.

With connectivity being a key enabler of our strategy, ourobjectiveis to become the most connected firm - connected to our clients, our communities and to each other. PwC follows an Activity Based Work model, where our PwC professionals engage in a diverse range of activities from our offices, from client sites, or our home.

Experiences and SkillsYou'llUse to Solve:

  • Enrolled in post-secondary education and working to obtain the Canadian CPArequiredprerequisite courses

  • Motivated to learn about technologies, IT practices and standards, infrastructure-related best-practices in the areas of security and IT, as well as IT control frameworks

  • Motivated to learn programming languages such as Python, SQL andutilizingadvanced data-platforms such as Databricks

  • Motivated to learn about analyzing the impact of data and IT risks and internal controls on organizations' financial, strategic, and operational objectives

  • Proven ability to manage multiple tasks in a dynamic and constantly evolving environment

  • Recognized strong analytical, conceptualization, and problem-solving skills

  • Ability to work independently or as part of a team

  • Strong skills in prioritization and problem-solving

Note:We only allow you tosubmitone application;howeveryouare able toselect a second and third office preference.

Please note:

  • Apply before our applications close on September 13th. To learn about our application process, visit our Applying to PwC page on our campus recruitment website.
  • This position is eligible for PwC Canada's Award and Mentorship Programs.
  • The salary range for this position is $55,000 - $65,000. Eligible employees will also have the opportunity to participate in our performance pay programs which are designed to reward individual and firm-wide achievements. We are committed to offering competitive compensation and adhere to all relevant pay transparency legislation.

Why you'll love PwC:

  • Personalized Benefits & Wellbeing:Choose flexible health, dental, vision, life, and disability coverage. Access mental health support ($3,500 annually), virtual care, and up to a $750 lifestyle account for wellness, fitness, and personal growth.
  • Invest in Your Future:Boost your retirement savings with employer matching and take advantage of financial planning resources and banking programs.
  • Growth & Learning:Unlock coaching, mentoring, and clear career paths to help you reach your potential.
  • Time off to focus on what matters most:Enjoy up to 31 paid days off including summer and winter office closures, substitute a public holiday to observe your religious holiday, or take part in international remote work options to extend your time abroad,
  • Inclusive, Purpose-Driven Culture:Join a diverse, supportive team where you can be your authentic self, build lifelong relationships, and help shape tomorrow.

PwC Canada acknowledges that we work and live across Turtle Island, on the land that is now known as Canada, which are the lands of the ancestral, treaty and unceded territories of the First Nations, Metis and Inuit Peoples. We recognize the systemic racism, colonialism and oppression that Indigenous Peoples have experienced and still go through, and we commit to allyship and solidarity.

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required:Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Agile Methodology, Alteryx (Automation Platform), Automation, Automation Framework Design and Development, Automation Programming, Automation Solutions, Automation System Efficiency, Business Analysis, Business Performance Management, Business Process Automation (BPA), Business Transformation, C++ Programming Language, Communication, Configuration Management (CM), Continuous Process Improvement, Daily Scrum, Data Analytics, Data Architecture Development, Data-Driven Insights, Data Ingestion, Data Reporting, Data Transformation {+ 29 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date

We're committed to providing accommodation throughout the application, interview, and employment process. If you require accommodation to be at your best, please let us know during the application process.The use of artificial intelligence (AI) in recruiting is just getting started, so we know you have questions about how and why we use it. At certain points during our recruiting process, we rely on AI to improve your experience. This could be during resume review or curating personalized job recommendations, asking you clarifying questions via a chatbot or during our interview scheduling to improve your experience. Our use of AI helps ensure we combat bias by evaluating candidates equally and fairly, without seeing identity information, such as your name, or gender for example). AI also helps us better predict successful hires by reviewing all applicants for a role and the relationship between your skills, experience and likely success at PwC Canada. While AI supports parts of our recruitment process, final hiring decisions always involve human review. For more information about our use and protection of your data, please refer to our Privacy Policy (https://www.pwc.com/ca/en/privacy-policy.html).Nous tenons a repondre a vos besoins tout au long du processus de demande d'emploi, d'entrevue et d'embauche. Si vous avez besoin de mesures d'adaptation pour etre parfaitement a l'aise, faites-le-nous savoir a l'etape de la demande d'emploi.L'utilisation de l'intelligence artificielle (IA) dans le domaine du recrutement en est a ses balbutiements. Nous savons que vous pourriez vous demander comment et pourquoi nous y avons recours. A certains stades de notre processus de recrutement, nous comptons sur l'IA pour ameliorer votre experience. Par exemple, pendant l'examen du curriculum vit ou l'elaboration d'une liste de recommandations personnalisees, un agent conversationnel pourrait vous demander des precisions ou fixer avec vous un rendez-vous pour l'entrevue. L'IA nous aide a mieux lutter contre les prejuges, car l'evaluation des candidats se fait de facon juste et equitable, sans que les informations d'identification comme le nom ou le sexe soient connues. Elle nous permet egalement de mieux reperer les bons candidats pour un poste et d'evaluer le lien entre leurs competences, leur experience et leurs chances de reussir chez PwC Canada. Bien que l'IA facilite certaines etapes de notre processus de recrutement, les decisions finales d'embauche sont toujours prises par des personnes. Pour en savoir plus sur l'utilisation et la protection de vos donnees personnelles, consultez notre politique sur la protection des renseignements confidentiels (https://www.pwc.com/ca/fr/privacy-policy.html).

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About pwc

Sourced by ZipRecruiter

We know that the future success of our firm is contingent on equitable experiences for our people. From recruitment to partnership, we’re working hard to give every person an equitable opportunity to grow and to thrive as part of our community of solvers. We understand that establishing and maintaining a fair, equitable and welcoming environment for all people requires building a culture of belonging: a shift from awareness to empathy — while demonstrating inclusive leadership that cultivates trust among our people and our clients. PwC is committed to advancing diversity, equity and inclusion (DEI) through an evidence-based strategy designed to achieve well-defined and meaningful aspirational goals. Our aim is to solve problems for the long term, as that is how we build trust and continue to build on our culture of belonging. At the core of this endeavor are stated goals and a series of linked programs enabling targeted interventions at key moments in our employees’ career trajectories.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

London, London, UK