Data Scientist Intern (16 months, September 2026)

IBM
Blackwood
2 weeks ago
Create job alert

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.


We make bets about what's coming next, not just what is popular today. We are looking for someone who is not afraid of learning new technologies quickly and applying them to implement creative solutions to scaling and service reliability problems.


Candidates with a strong Data Scientist background, instead of a more traditional web development profile, will also be eligible/considered for this position.


We offer a great working environment with the latest tools and the smartest people. You'll have ultimate flexibility in choosing technologies. We guarantee continuous learning at the cutting edge of everything tech. By joining our team, you will establish your eminence in the industry.


Your Role And Responsibilities

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.


If you have ever wanted to help build something akin to the Apple App Store or Google Play Store but for education, this is your opportunity. We are looking for someone who is passionate about technical writing and competent in software development, regardless of the number of years of experience.


Being a Data Scientist intern at IBM is not just a job title - it's a mindset. Stay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation.


Build interesting projects with AI, then teach others how to do the same. This is a long‑term internship designed to help you achieve your potential and shape you into a fully‑fledged Data Scientist.


Preferred Education

Bachelor's Degree


Required Technical And Professional Expertise

  • 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

Preferred Technical And Professional Experience

  • Knowledge of AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face
  • Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc


#J-18808-Ljbffr

Related Jobs

View all jobs

Data Scientist Intern: Build AI Learning Platform at Scale

Data Scientist - Internship

Data Scientist, Internship, United Kingdom - BCG X

Data Scientist: AI & BI Dashboards for Transformation

Data Scientist Senior Consultant - Belfast

Data Scientist Consultant

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

New AI Employers to Watch in 2026: UK and Global Companies Reshaping AI Careers

The artificial intelligence job market in the UK is evolving at an extraordinary pace. With record-breaking investment, government backing, and a surge in enterprise adoption, the landscape of AI employers is shifting rapidly. For candidates exploring opportunities on ArtificialIntelligenceJobs.co.uk, understanding who is hiring next is just as important as understanding what skills are in demand. In this article, we explore the new and emerging AI employers to watch in 2026, focusing on organisations that have recently secured funding, won major contracts, or expanded their UK footprint. From cutting-edge startups to global giants doubling down on Britain, these companies represent the next wave of AI career opportunities.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.