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Data Science Intern, 2026 Summer Australia

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Atlassian
Sydney, NSW
remote
Internship

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Posted 7 months ago
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Working at Atlassian

Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Learn how we work at go.atlassian.com/distributed.

Your Future Org
Atlassian’s Intern program combines hands-on technical training, professional growth opportunities, dedicated mentorship, and strong social connections. This holistic approach empowers students to hit the ground running and sets them up for a successful and impactful career at Atlassian!

Applications will be accepted from Australian and New Zealand Citizens and Australian Permanent Residents.

Our paid internship program runs for 12 weeks between November-February.

Your Future Team
Join Atlassian’s Analytics & Data Science team for the summer and use your skills to influence millions of teams around the world.

You’ll report to a manager within the Data Science team where you’ll build understanding of data science’s value through a structured project, and share recommendations with peers and leadership to drive critical decisions.


  • Measure the impact of product strategy; design and analyse experiments and launches.

  • Build data-driven recommendations and present insights to peers and leadership to influence decisions.

  • Partner across engineering, product, design and analytics to improve customer experiences.


Minimum Qualifications

  • Able to commit to a 12-week full-time (40hrs/week) program from November 2026 - February 2027.

  • Currently enrolled full-time in a Bachelor’s or Master’s degree and returning to the program after the completion of the internship, graduating by January 2028.

  • Experience manipulating data using one of SQL, R, Python (or other languages).

Preferred Qualifications

  • Prior project, internship or publication demonstrating experimental design, causal inference, or strong analytical storytelling.

  • Experience with experiment platforms, dashboards, or data visualisation.

Benefits & Perks

Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit Atlassian Internships: Students and New Grads | Atlassian.

About Atlassian

At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.

We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.

To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.

To learn more about our culture and hiring process, visit go.atlassian.com/crh.

Minimum Qualifications

  • Able to commit to a 12-week full-time (40hrs/week) program from November 2026 - February 2027.
  • Currently enrolled full-time in a Bachelor's or Master's degree and returning to the program after the completion of the internship, graduating by January 2028.
  • Experience manipulating data using one of SQL, R, Python (or other languages).

Preferred Qualifications

  • Prior project, internship or publication demonstrating experimental design, causal inference, or strong analytical storytelling.
  • Experience with experiment platforms, dashboards, or data visualisation.