Management LevelSenior Associate & SummaryAt PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making.

You will work on developing predictive models, conducting statistical analysis, and creating data visualisations to solve complex business problems. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths.

You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn't clear, you ask questions, and you use these moments as opportunities to grow. Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems.

Understand the broader objectives of your project or role and how your work fits into the overall strategy. Interpret data to inform insights and recommendations. Uphold and reinforce professional and technical standards (e.G. refer to specific PwC tax and audit guidance),



the Firm's code of conduct, and independence requirements.

Given our national recruiting approach, ranges may vary for positions in other locations. Powered by the latest technology, you'll be a part of diverse teams helping public and private clients build trust and deliver sustained outcomes. We reward your impact, and support your wellbeing, through a competitive compensation package, inclusive perks and flexibility programs that will help you thrive in work and life.

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: Required SkillsOptional SkillsAccepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Artificial Intelligence, Big Data, C++ Programming Language, Communication, Complex Data Analysis, Creativity, Data-Driven Decision Making (DIDM), Data Engineering, Data Lake, Data Mining, Data Modeling, Data Pipeline, Data Quality, Data Science, Data Science Algorithms, Data Science Troubleshooting,



Data Science Workflows, Deep Learning, Embracing Change, Emotional Regulation, Empathy {+ 18 more} Desired Languages(If blank, desired languages not specified) Travel RequirementsNot Specified Available for Work Visa Sponsorship?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.

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 L'utilisation de l'intelligence artificielle (IA) dans le domaine du recrutement en est à ses balbutiements. L'IA nous aide à mieux lutter contre les préjugés, car l’évaluation des candidats se fait de façon juste et équitable, sans que les informations d’identification comme le nom ou le sexe soient connues. Pour en savoir plus sur l’utilisation et la protection de vos données personnelles, consultez notre politique sur la protection des renseignements confidentiels #

📌 Ai Developer, Senior Associate (Winnipeg)
🏢 PwC
📍 Winnipeg