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.
About the role
- 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.
Responsibilities
- Design, develop, and evaluate AI-powered applications using LLMs, Agentic AI, RAG, and intelligent workflow automation
- Collaborate with engineering teams to analyze workflows and identify automation opportunities
- Translate business requirements into practical AI-driven solutions
- Develop software applications, APIs, and automation tools using Python and AI-assisted development platforms
- Analyze engineering and operational data
- Generate reports, dashboards, visualizations, and actionable insights for data-driven decision making
- Participate in Agile development activities, design reviews, AI adoption initiatives, workshops, and knowledge-sharing sessions across global engineering teams
Requirements
- Currently pursuing a Bachelor's or Master's degree, or a College diploma, at an accredited Canadian university or college in a relevant technical discipline
- Relevant fields include Data Science, Computer Science, Software Engineering, Computer Engineering, Electrical Engineering, Artificial Intelligence, Statistics, Mathematics, or related programs
- Strong programming experience in Python
- Familiarity with software development, automation frameworks, APIs, and application design principles
- Knowledge of Generative AI concepts, including Large Language Models (LLMs), prompt engineering, Retrieval-Augmented Generation (RAG), AI agents, and agentic workflows
- Experience using AI-assisted development tools such as Cursor AI, GitHub Copilot, or similar platforms
- Understanding of data analytics, statistics, data modeling, and visualization techniques
- Strong analytical, problem-solving, communication, collaboration, and continuous learning skills
- Demonstrated interest in AI and automation technologies
- Nice-to-have: experience with LangChain, LangGraph, AutoGen, CrewAI, or similar technologies
- Nice-to-have: exposure to AI guardrails, LLM evaluation, observability, tracing, monitoring solutions, and AI application lifecycle management
- Nice-to-have: experience with enterprise application development, Grafana, Splunk, Power BI, Git-based workflows, CI/CD pipelines, hackathons, research projects, or AI-related extracurricular activities
Benefits
- Flexible and hybrid working schemes to balance work and life
- Professional development events and networking opportunities
- Access to an onsite cafeteria
- Free employee parking
- Complimentary fitness centre
- Sports facilities, including volleyball, basketball, pickleball courts, ping pong, and employee leagues
- Well-being programs
- Personal Support Service 24/7 for Nokia employees and their families
- Opportunities to join Nokia Employee Resource Groups (NERGs)
- Employee Growth Solutions
- Mentorship programs
- Coaching support for career development
- Learning environment supporting personal and professional development
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About the job Title: Data Analytical Specialist/Scientist - Senior Duration: till Dec 2026 with likely extension Location: Toronto Domain: Government Services S