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

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—whether its helping 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 using data-driven insights. Being human-led, tech-powered, we put the right controls, processes, and structures in place, 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:

• 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

• Excellentemaîtrisedu françaisexigée

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