Line of Service
Advisory

Industry/Sector
Not Applicable

Specialism
Technology Strategy

Management Level
Associate

Job Description & Summary
At 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 artificial intelligence engineering at PwC will apply data, algorithms, and software engineering to build and deploy software and platform systems that create Artificial Intelligence and Machine Learning based solutions at scale. Your work will involve designing AI systems, data wrangling, and software implementation to enable the AI models to be useful and scalable.

Meaningful work you’ll be part of

As a Data Scientist, Associate, you’ll work as part of a team of problem solvers, helping to solve business issues, deliver high quality client service and operational efficiency. Responsibilities include but are not limited to:

Develop and deploy machine learning models (predictive modeling, forecasting, segmentation, propensity scoring, etc.) to address complex business challenges that meet key performance metrics and requirements.
Build and deploy simulation and optimization solutions
Work on both theoretical and practical applications of both traditional and modern AI problems across advanced statistical, machine learning, deep learning and LLM based solutions.
Design and build AI agents and Agentic solutions to solve critical client problems.
Implement best practices in data science workflows and identify areas for process improvement and automation.
Translate data-driven insights into actionable business recommendations and strategic initiatives, facilitating seamless integration into business operations through collaboration with cross-functional teams.
Integrate machine learning solutions into production systems using MLOps frameworks, focusing on process improvement and automation.
Help clients develop their data and AI strategy program and subsequent initiatives to leverage data and analytics to meet their organizational goals.
Define and measure AI and analytics capabilities that span enterprise AI and data strategy, as well as lifecycle from data, technology, process, governance and talent to organizational structure and data-culture.

Identify value creation opportunities, conducting jurisdictional scans, documenting case studies and leading practices as it relates to enterprise applications of AI, advanced analytics, strategy and governance.

Experiences and skills you’ll use to solve

Experience: 1-2 years of experience in either theoretical or applied use of machine learning, with a proven track record of delivering data-driven solutions in a research or business environment.
Analytical Skills: Strong problem-solving abilities and a keen analytical mindset.
Communication Skills: Ability to convey technical concepts clearly to non-technical stakeholders.
Business Acumen: Understanding of business processes and the ability to translate business problems into data science solutions.
Team Player: Ability to work collaboratively in a team-oriented environment.
Technical skills:
Proficiency in programming languages such as Python, R, or Scala.
Strong experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
Familiarity with big data technologies such as Hadoop, Spark, or Kafka is a plus.
Experience in data manipulation and analysis using SQL and data visualization tools (e.g., Tableau, Power BI).
Hands-on experience with data science services in Cloud platforms (AWS, Azure, GCP).
Ability to implement MLOps using common frameworks such as MLflow.

Minimum Requirements:

Post secondary (Bachelor) degree in a quantitative or relevant business subject such as computer science, data science, statistics, mathematics, economics, finance, engineering or a related field

This newly created role reflects our commitment to growth and delivering distinctive value for our clients and stakeholders.

The salary range for this position is $58,400 - $97,500. The posted salary range represents the expected hiring range for PwC locations in major city centres. Given our national recruiting approach, ranges may vary for positions in other locations. At PwC Canada, base salary is determined by your skills, experience, qualifications and work location. In addition to base salary, eligible employees may have opportunities to participate in variable incentive 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. During the hiring process, our Talent Acquisition team will provide details about our comprehensive total rewards package.

Why you’ll love PwC

We’re inspiring and empowering our people to change the world. Powered by the latest technology, you’ll be a part of diverse teams helping public and private clients build trust and deliver sustained outcomes. This meaningful work, and our continuous development environment, will take your career to the next level. We reward your impact, and support your wellbeing, through a competitive compensation package, inclusive benefits and flexibility programs that will help you thrive in work and life. Learn more about our Application Process and Total Rewards Package at: https://jobs-ca.pwc.com/ca/en/life-at-pwc

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, Métis 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.

Required Skills

Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, AI Implementation, C++ Programming Language, Communication, Complex Data Analysis, Data Analysis, Data Infrastructure, Data Integration, Data Modeling, Data Pipeline, Data Quality, Deep Learning, Emotional Regulation, Empathy, GPU Programming, Inclusion, Intellectual Curiosity, Java (Programming Language), Machine Learning, Machine Learning Libraries, Named Entity Recognition, Natural Language Processing (NLP), Natural Language Toolkit (NLTK) {+ 20 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 à répondre à 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 être parfaitement à l’aise, faites-le-nous savoir à l’étape de la demande d’emploi.

L’utilisation de l’intelligence artificielle (IA) dans le domaine du recrutement en est à ses balbutiements. Nous savons que vous pourriez vous demander comment et pourquoi nous y avons recours. À certains stades de notre processus de recrutement, nous comptons sur l’IA pour améliorer votre expérience. Par exemple, pendant l’examen du curriculum vitæ ou l’élaboration d’une liste de recommandations personnalisées, un agent conversationnel pourrait vous demander des précisions ou fixer avec vous un rendez-vous pour l’entrevue. 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. Elle nous permet également de mieux repérer les bons candidats pour un poste et d’évaluer le lien entre leurs compétences, leur expérience et leurs chances de réussir chez PwC Canada. Bien que l’IA facilite certaines étapes de notre processus de recrutement, les décisions finales d’embauche sont toujours prises par des personnes. Pour en savoir plus sur l’utilisation et la protection de vos données personnelles, consultez notre politique sur la protection des renseignements confidentiels (https://www.pwc.com/ca/fr/privacy-policy.html).

Data Scientist, Associate

How to apply

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