Data Scientist, Associate

About the Role

PwC Canada is seeking a Data Scientist, Associate to join their Advisory team within Technology Strategy. This position focuses on crafting advanced data solutions that convert raw data into actionable business insights to propel decision-making and fuel growth. The role involves building AI and machine learning solutions at scale, spanning the practical and theoretical aspects of traditional and modern techniques including deep learning and large language models.

Key Responsibilities

• Design, develop, and deploy machine learning solutions like predictive models, forecasting, segmentation, and propensity scoring to tackle complex business challenges and achieve specified key performance indicators.
• Build simulation and optimization tools to enhance business processes.
• Apply advanced AI methodologies including agent-based solutions to address critical client problems.
• Implement best practices in data science workflows, continuously identifying opportunities to improve processes and automate tasks.
• Translate data insights into strategic business recommendations and facilitate integration by collaborating across teams.
• Deploy machine learning models into production environments leveraging MLOps frameworks to enhance operational efficiency.
• Assist clients in formulating and executing data and AI strategies aligned with organizational objectives.
• Measure and define AI and analytics capabilities encompassing data, technology, processes, governance, talent, and culture to support enterprise-wide AI initiatives.
• Identify value-creation opportunities by researching relevant case studies and best practices applicable to AI applications, strategy, governance, and advanced analytics.

Required Experience and Skills

• 1 to 2 years of experience applying machine learning in research or business settings, with proven success delivering data-driven solutions.
• Strong problem-solving mindset and analytical skills.
• Excellent communication skills, able to translate complex technical concepts for non-technical audiences.
• Business understanding to frame business problems as data science challenges.
• Collaborative team player with ability to work effectively in group environments.
• Technical proficiencies including Python, R, or Scala programming.
• Hands-on experience with machine learning libraries such as TensorFlow, PyTorch, and Scikit-learn.
• Familiarity with big data frameworks like Hadoop, Spark, and Kafka is advantageous.
• Skilled in SQL for data manipulation and proficient in data visualization tools including Tableau and Power BI.
• Experience with cloud-based data science services on platforms such as AWS, Azure, or Google Cloud Platform.
• Ability to implement MLOps practices using tools like MLflow.

Educational Requirements

A Bachelor’s degree or higher in quantitative or related disciplines such as computer science, data science, statistics, mathematics, economics, finance, engineering, or equivalent is mandatory.

Additional Information

This newly established role demonstrates PwC's dedication to expansion and delivering exceptional client value. Compensation ranges from 58,400 to 97,500 CAD annually, varying by location and individual experience. Eligible employees can also participate in variable incentive pay programs recognizing individual and firm-wide achievements. PwC commits to competitive remuneration aligned with all relevant pay transparency laws.

PwC Canada honors the Indigenous Peoples whose ancestral, treaty, and unceded lands this work occurs on, acknowledging historical and ongoing challenges faced by First Nations, Métis, and Inuit communities and pledging solidarity and allyship.

The recruitment process uses AI for candidate evaluation to promote fairness by anonymizing applicant identity factors. While AI aids selection, human review governs final hiring decisions. Accommodation requests for applicants are supported throughout the recruitment cycle.