Data Science Intern

Johnson & Johnson Johnson & Johnson · Pharma · Toronto, ON +1

Seeking a Data Science Intern to support analytics initiatives in machine learning, generative AI, and agentic AI solutions within the healthcare and patient support landscape. The intern will gain hands-on experience with real-world data, analytics tools, and cross-functional partners to develop insights, prototypes, and performance reporting. Responsibilities include data collection, cleaning, analysis, supporting ML/GenAI/agentic AI use case development, assisting with LLM/GenAI/AI agent experimentation, building dashboards, and translating findings into recommendations. Requires Python/R, SQL, and strong analytical skills. Preferred qualifications include exposure to Generative AI, LLMs, agentic AI concepts, and data visualization tools.

What you'd actually do

  1. Support the development and evaluation of machine learning, generative AI, and agentic AI use cases (e.g., autonomous agents, workflow orchestration, decision support)
  2. Assist with experimentation and prototyping involving LLMs, GenAI tools, and AI agents
  3. Collect, clean, and analyze structured datasets to identify trends and insights
  4. Build dashboards, reports, and KPIs using analytics and visualization tools
  5. Translate analytical findings into clear, actionable recommendations for business partners

Skills

Required

  • Python
  • R
  • SQL
  • Data Analysis
  • Analytical Skills
  • Problem-Solving Skills
  • Communication Skills

Nice to have

  • Generative AI
  • Large Language Models (LLMs)
  • Agentic AI concepts
  • AI agents
  • Tool-calling
  • Orchestration frameworks
  • Multi-step workflows
  • Power BI
  • Tableau
  • Machine Learning Concepts
  • Model Evaluation
  • Real-world datasets

What the JD emphasized

  • machine learning
  • generative AI
  • agentic AI
  • LLMs
  • GenAI tools
  • AI agents

Other signals

  • machine learning
  • generative AI
  • agentic AI