Data Scientist Intern

At IBM Developer Skills Network, we engage closely with all business units of IBM, academic institutions, and customers large and small. As part of our open‑source mission, we work closely with various open‑source communities as both contributors and users. We containerize and orchestrate at scale, apply machine learning, AI, and blockchain, and everything else that's cool and new.

This position resides in Markham, ON and is a 16‑month work term commencing in September 2026. It is mandatory that all applicants are enrolled in full‑time studies at a post‑secondary institution and return to full‑time studies upon completion of the work‑term.

As a Data Scientist for the IBM Developer Skills Network, you will have the opportunity to work on the design, development, deployment, and maintenance of a large‑scale content syndication and learning management system that is deployed across four continents and several data centers, impacting millions of people worldwide. In addition to your software development responsibilities, you will be tasked with creating AI tutorials and demos aimed at such an audience of millions of developers worldwide.

We look for someone who is passionate about technical writing and competent in software development, regardless of years of experience. The role also expects you to stay up to date with the latest trends and advancements in AI, foundation models, and large language models, evaluate emerging technologies, and assess their potential impact on solution design and implementation.

Bachelor's Degree

• Python or similar language
• Basic JavaScript familiarity
• Large Language Models (LLMs)
• Conversant about AI technology, the latest industry trends and how it is being applied to address business challenges
• Possess verbal, written, and interpersonal skills that are engaging and compelling.
• Must be eligible to work 16 months starting in September

• Knowledge of AI frameworks such as Tensor Flow, PyTorch, Keras or Hugging Face
• Understanding in the usage of libraries such as Sci Kit Learn, Pandas, Matplotlib, etc.