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.
About the role
- 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.
Responsibilities
- Partner with business stakeholders, engineers, and subject-matter experts to define complex problems, requirements, and success criteria
- Assess data and technical feasibility, dependencies, risks, integration needs, and opportunities
- Plan and lead analytical initiatives from discovery and proof of concept through MVP, production deployment, and ongoing enhancement
- Design, develop, validate, and operationalize statistical, machine learning, simulation, and optimization solutions
- Apply software engineering, MLOps, and Responsible AI practices
- Provide technical direction, coordinate contributors, review deliverables, and remain involved in hands-on development
- Communicate analytical findings, assumptions, limitations, and evidence-based recommendations
- Collaborate with stakeholders, engineers, subject-matter experts, and multidisciplinary technical teams across iterative delivery stages
Requirements
- Degree in computer science, engineering, mathematics, statistics, operations research, data science, or a related quantitative discipline
- Six or more years of related experience, including significant hands-on experience delivering data science or machine learning solutions
- Strong knowledge of statistics, machine learning, model validation, uncertainty assessment, and analytical interpretation
- Proficiency in Python and SQL
- Experience with established data science and machine learning libraries
- Hands-on experience with Databricks or a comparable enterprise platform, including Spark or PySpark, MLflow, and production-focused machine learning development
- Experience engineering, deploying, and managing analytical solutions throughout their lifecycle
- Ability to learn complex subject areas, guide multidisciplinary contributors, influence technical decisions, and communicate recommendations clearly
- Ability to travel throughout North America (US and Canada) for business purposes
- Valid passport required
- Final candidates may be required to undergo security screening, including a criminal records check
Benefits
- Flexible benefits program covering health, dental, insurance, and disability
- Up to 20 weeks of paid leave for birth-giving parents and up to 12 weeks for other eligible parents
- Retirement savings plans, including a savings plan with company stock as an investment option
- Paid time off, vacation, sick leave, paid personal days, and paid holidays
- Employee and Family Assistance Program
- Wellness Program supporting physical, mental, social, and financial well-being
- FlexWork hybrid options, including working from home on Wednesdays and Fridays, compressed work week schedules, or flexible start and end times
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Report this job
Found something wrong with the page? Please let us know by submitting a report below.
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.
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.
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.
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.
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.
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.
LP
Data Scientist
LinkedIn Recruiter Post
About the job Title: Data Analytical Specialist/Scientist - Senior Duration: till Dec 2026 with likely extension Location: Toronto Domain: Government Services S