Data Science Student supporting PCL Construction’s infrastructure projects through exploratory analysis, machine learning, and visualizations. Building a portfolio-focused capstone prototype under data science supervision.
Responsibilities
Gain proficiency in and perform exploratory data analysis and present insights
Prepare datasets for visualization and machine learning modeling
Train machine learning systems using data annotation and benchmarking techniques
Assess AI/ML model performance and propose improvements with colleagues
Prepare data visualizations using industry-leading tools for stakeholders
Document results, successes, and lessons learned
Develop a capstone project proposal contingent on successful early work
Engage with relevant people to inform the capstone work
Build a prototype or visualization
Assess and present capstone results
Work under the direct supervision of the Manager, Data Science
Requirements
Currently enrolled in a postsecondary program
Outstanding bachelor's or mathematics student in engineering, computing, or mathematical sciences, or pursuing an MSc in a quantitative field
Analytical skills demonstrated through coursework, projects, or research involving analysis of large datasets
Coursework in statistics, particularly applied statistics and probability
Ability to discuss regression models and clustering approaches
Prior exposure to a statistical or scientific programming environment is helpful
Familiarity with or willingness to learn Python scientific stack, R, PowerBI, and data pipeline tools
Excellent oral and written communication skills
Availability for a 4-, 8-, or 12-month term starting in January 2027
Benefits
Challenging work assignments
Supportive work environment
Personal and professional growth opportunities
Opportunity to build a portfolio through a capstone project
Support and guidance for developing a proposal, engaging stakeholders, building a prototype or visualization, and presenting results
Employee-owned company environment
Accommodation support during the application process
Data Science Co - op/Intern building AI applications, analytics, and automation tools for Nokia’s connectivity business. Applying Python, LLMs, RAG, and agentic workflows with engineering teams.
Senior Manager leading Autodesk’s GTM data science portfolio for Sales, Marketing, and Customer Success. Building machine learning products that improve customer retention, growth, and engagement decisions.
Data Scientist/ML Engineer developing production - ready machine learning and analytical solutions for Enbridge’s energy infrastructure operations. Leading initiatives from discovery through deployment and continuous improvement.
Principal Clinical Data Science Programmer leading clinical trial data programming for ICON, a global healthcare intelligence and research organization. Developing CDMS, analytics, integrations, and automation solutions.
Senior Clinical Data Science Programmer developing CDMS, validation, and data - transfer programs for ICON’s clinical research trials. Mentoring programmers and collaborating across clinical data teams.
Data Scientist intern developing AI and machine - learning solutions for Intact’s insurance technology teams. Analyzing geospatial, telematics, text, and image data for business impact.
Graduate data science associate rotating across TD’s Analytics Insights & AI team. Building predictive, optimization, and pricing models for a leading North American bank.
Revenue analytics lead building dashboards, experiments, and data solutions for Affirm’s buy - now - pay - later platform. Partnering with merchants and internal teams to optimize growth decisions.
Senior Data Scientist building retrieval, ranking, and agentic AI systems for CrowdStrike’s cybersecurity platform. Leading scalable ML architecture and threat - detection innovation.
About the job Title: Data Analytical Specialist/Scientist - Senior Duration: till Dec 2026 with likely extension Location: Toronto Domain: Government Services S