AI Data Science Co-op: LLMs, RAG & Automation

Nokia; Ottawa; Hybrid; CAD 36,000 - 48,000; Part time

Job summary

Nokia is offering a data science co-op/internship in Ottawa, Canada. The program spans 4 months, with hybrid work arrangements shaping collaboration across global engineering teams.

We seek candidates pursuing a Bachelors, Masters, or college diploma in data science or related fields, with strong Python and AI tool proficiency. You will design AI-powered applications, collaborate with engineering teams, and develop APIs and automation tools using Python and AI-assisted platforms.

Qualifications

• Strong programming in Python and software development basics.
• Knowledge of Generative AI concepts including LLMs, prompt engineering, RAG, AI agents.
• Experience with AI-assisted dev tools (Cursor AI, GitHub Copilot).
• Understanding of data analytics, statistics, data modeling, and visualization.
• Good analytical, communication, collaboration, and learning skills.

Responsibilities

• Design, develop, and evaluate AI-powered apps using LLMs, RAG, and automation.
• Collaborate with engineers to analyze workflows and identify automation opportunities.
• Develop apps, APIs, and automation tools with Python and AI-assisted platforms.
• Analyze data to generate dashboards, reports, and insights for decisions.
• Participate in Agile processes, design reviews, AI adoption initiatives.

Skills

Python

Generative AI

AI-assisted development tools

Data analytics

Communication

Education

Bachelor's/Master's in a relevant technical discipline

College diploma (in a related field)

Tools

Cursor AI

GitHub Copilot

Job description

Nokia is offering a data science co-op/internship in Ottawa, Canada. The program spans 4 months, with hybrid work arrangements shaping collaboration across global engineering teams.

We seek candidates pursuing a Bachelors, Masters, or college diploma in data science or related fields, with strong Python and AI tool proficiency. You will design AI-powered applications, collaborate with engineering teams, and develop APIs and automation tools using Python and AI-assisted platforms.