Data & ML Intern

Kogan.com is a pioneer of Australian eCommerce. Our vision is to use and build technology to deliver personalised, innovative, and fast customer experiences. We see where AI is heading and we are building towards it testing, learning, and embedding new capabilities into our stack daily.

As a Data & Machine Learning Intern, you will be a key member of a fast-paced, ambitious team. We don’t do "busy work" here; you will be working on the real tech stack that serves millions of customers. You’ll be empowered to share your views, build your capability, and see your code shipped to production.

We know your studies come first. We’ve designed this internship to be as flexible as possible:

• Study-Flex: We are happy to work around your university days and exam periods.

• 2-Day Schedule: Ideally looking for 2 days per week (with the possibility to increase days), with flexibility on which days you work to fit your timetable.

• Mentorship: Work directly with pragmatic engineers who are experts in scaling data and AI.

Why Kogan.com?

• Our culture is unlike anywhere else and regardless of where you are in your career journey, we empower you to do your best work and have a big impact. Check us out https://devblog.kogan.com/ & https://goodteams.app/teams/kogan.com.
• Work with an incredible team to solve important challenges, helping to drive Australia and New Zealand’s eCommerce future.
• Your role has a lot of ownership, autonomy and little red tape. You’ll be empowered to achieve positive outcomes and your work will have a real impact.
• You’ll be at the forefront of the eCommerce industry and be part of a company that are the Pioneers of eCommerce in Australia.
• Be an Intrepreneur, playing a hands on role in shaping our strategy at our HQ.
• A range of employee benefits such as team exclusive discounts, Health & Wellness program, Learning & Development and Lunch & Learns, Hackathons, Team member referral program, Company and team events and celebrations, community engagement (volunteering) and extensive career development opportunities plus loads more!

What you'll do:

ML Exploration: Assist in experiments with ML Models, LLMs and Generative AI to see how they can solve real business challenges.

Model Support: Help develop and refine ML models for use cases like demand forecasting or customer sentiment.

Data Foundations: Learn to build and maintain the pipelines (ETL/ELT) that handle 10M+ daily events.

Feature Engineering: Support the creation of data inputs required for high-performing Machine Learning models.

MLOps: Get hands-on experience with the tools used to deploy and monitor models in a live production environment.

Best Practices: Learn to code like a pro using Git, CI/CD, and automated testing.

What you'll need:

Python Skills: You’re comfortable with Python and eager to use it for data engineering and automation.

SQL Basics: You understand how to query data and aren’t afraid of a complex join.

AI/ML Enthusiasm: You’ve experimented with ML libraries (like Scikit-learn, TensorFlow, or PyTorch) in your own time or at uni.

GCP Curiosity: An interest in learning cloud platforms (Google Cloud Platform experience is a plus!).

Problem-Solving Mindset: You enjoy breaking down a problem and finding the most efficient way to fix it.

Current Student: Currently pursuing a degree in Computer Science, Data Science, Software Engineering, or a related field.

To apply

Express your interest in this opportunity by uploading your CV and Cover Letter, outlining your interest in the position and how you think you can help grow the Kogan business. Hot tip, generic Cover Letters won’t cut it here! Stand out with an application that shows a deep knowledge of the Kogan.com business and how we operate, to allow yours to be looked upon more favourably.