Updating Results

Canva Pty Ltd

4.8
  • 500 - 1,000 employees

2020 Data Science Summer Internship

Sydney
At Canva, our mission is to democratise design and empower creativity for everyone on every computing platform!

Opportunity details

Opportunity Types
Internship
Start Date
7 Dec 2020

Application dates

Applications Open
6 May 2020
Applications Close
18 Jun 2020

Minimum requirements

Accepting International Applications
Yes
Qualifications Accepted
E
Mathematics & Statistics
I
Artificial Intelligence
Computer Science (all other)
Computer Systems and Networks
Cyber Security
Data Science
Programming & Software Engineering
Video Game Development

Since launch in April 2013, we have grown exponentially, amassing over 10 million users in over 100 languages, making us one of the world's fastest-growing technology companies. We're growing rapidly and building a product that users really love.

As a Data Science Intern, you will have the opportunity to learn from Data Scientists and Engineers from the likes of Google, JetBrains, Yandex, Atlassian, Amazon, Facebook, and popular technology houses from all over the world.

You will get the opportunity to learn and apply best-practice data science and software engineering, focused on strong software engineering fundamentals and pragmatism.

You will have the opportunity to do meaningful work and build features and functionality that impacts millions of users around the world.

The Data Science specialty is highly engaged in delivering value to Canva's users, by designing, building and maintaining complex systems to apply statistics and machine learning at scale. This includes making it easy for users to search over 50 million images for design, recommending design styles, and making it easier to design what they need.

What to look forward to:

  • Work alongside data analysts and engineers, software engineers, product owners – to identify business and growth opportunities.
  • Improve scalability, speed and performance of existing models
  • Conceptual modelling: share and articulate modelling
  • Statistical analysis: understand and work around possible limitations in models
  • Predictive modelling: most of the big data problems are towards being able to predict future outcomes
  • Hypothesis testing: develop hypotheses and test them with careful experiments

This will be perfect for you if:

  • Are currently within 12-18 months of completing a Bachelor's or Master's degree, or at any stage in your PhD.
  • Are comfortable working in Python, Scala or Java.
  • Have strong Computing Fundamentals.
  • Have the ability to conceive and translate quantitative models (statistical models) to practical, scalable solutions.

We'd love it if you have:

  • Experience with data platforms (e.g. Spark and Hadoop).
  • Experience with machine learning frameworks (e.g. Scikit learn, TensorFlow).
  • Experience with interactive notebooks for exploration of data and initial prototyping.

Requirement:

  • Please provide us with the latest PDF copies of your CV and grades/transcripts by compressing them into a zip file on our careers page.

Graduate Success Stories


  • Graduate stories
Don’t stress too much on marks but really do try to understand the content.

Edward Belokopytov

  • Graduate stories
Don’t stress too much on marks but really do try to understand the content.

Edward Belokopytov

  • Graduate stories
I love my role because it’s so user-impacting, especially when releasing features that will be used by the world the next day.

Vee Ciputra

  • Graduate stories
I love my role because it’s so user-impacting, especially when releasing features that will be used by the world the next day.

Vee Ciputra

  • Graduate stories
Don’t stress too much on marks but really do try to understand the content.

Edward Belokopytov

  • Graduate stories
Don’t stress too much on marks but really do try to understand the content.

Edward Belokopytov

  • Graduate stories
I love my role because it’s so user-impacting, especially when releasing features that will be used by the world the next day.

Vee Ciputra

  • Graduate stories
I love my role because it’s so user-impacting, especially when releasing features that will be used by the world the next day.

Vee Ciputra