Senior Data Scientist

Global Fashion Group is the leading fashion and lifestyle destination in growth markets across LATAM, SEA and ANZ. From our people to our customers and partners, we exist to empower everyone to express their true selves through fashion. Our three e-commerce platforms: Dafiti, ZALORA and THE ICONIC connect an assortment of international, local and own brands to over 800 million consumers from diverse cultures and lifestyles.
GFG's platforms provide seamless and inspiring customer experiences from discovery to delivery, powered by art & science that is infused with unparalleled local knowledge. As part of the Group's vision is to be the #1 online destination for fashion & lifestyle in growth markets, we are committed to doing this responsibly by being people and planet positive across everything we do.
Since launching in 2011, THE ICONIC has redefined the future of retail in Australia and New Zealand. As the leading fashion, sports and lifestyle e-commerce destination in the region, our e-commerce platforms (Retail, Marketplace and Services) provide a seamless and inspiring end-to-end customer experience through our own technology innovations. We stand for benchmark-setting customer service, delivery options, returns policies, and curation of brands.
We are a diverse and dynamic community of over 1,000 people working towards our purpose "To bring on the future of shopping". THE ICONIC is people and planet positive, and we strive towards creating a positive impact in the world by driving genuine and meaningful change for the better of all communities involved.
For more information visit: [protected info] THE TEAM
We're a small Data Science team at THE ICONIC -- the largest online fashion retailer in AU/NZ. We build and ship real products end-to-end: LLM-based agents, multi-modal search, custom deep learning models at scale, and AI embedded directly into business workflows.
SCOPE OF ROLE
You'll own ML projects end-to-end: designing custom models when the problem demands it, shipping pragmatic solutions when it doesn't, and knowing the difference
Day-to-day, you'll work autonomously on real problems - predicting customer behaviour, improving search relevance, building AI agents that automate business workflows - and ship directly to production where your work impacts millions of customers
Recent team work includes
Deploying Google Gemini models into production for content generation and evaluation
Building multi-modal search serving millions of queries
Designing autonomous AI agents embedded in business workflows
Training custom deep learning models and Bayesian systems on large-scale datasets
Running generative AI for personalised recommendations
You'll collaborate with our Sydney-based team, present technical solutions, and have the opportunity to mentor and shape best practices
What It Takes
Fluent English (written and verbal) - you'll present solutions and collaborate across timezones
Strong Python with solid software engineering practices (OOP, clean code, Git workflows)
ML depth: classification, regression, feature engineering, evaluation, overfitting - the fundamentals done well
Deep learning experience (PyTorch or TensorFlow) - including judgement on when custom architectures are warranted vs. off-the-shelf
Production shipping: you've deployed, debugged, and maintained code in live environments
Docker containers: building, running, troubleshooting
Ways to stand out from the crowd
Experience building with LLMs (RAG pipelines, prompt engineering, agent architectures)
Google Cloud deployment (Cloud Run, Vertex AI)
CI/CD with GitHub Actions or similar
A/B testing design and interpretation
Infrastructure as Code (Terraform)
What We Offer You
The ability to cross train into DevOps/Platforms or Data Engineering
The unique opportunity to have a serious impact on a growing organisation
A dynamic working environment shaping the face of fashion e-commerce in growth markets
Work closely with a global talent pool with international mindset
#1 IT company to work for in Vietnam in 2021
Best practice scaled agile engineering
Amazing office and great culture! Massage chairs, table tennis, video game room, quarterly team events, yearly company trip, end of the year party
Hybrid working environment and work from home set up allowance
Clear career progression plan and support
English classes
Macbook or laptop when you start
Social insurance, medical insurance & AON insurance
13th month salary
15 days of annual leave, 30 days of sick leave/mental health, 1 day of occasion leave
Support for Gym membership
Apply today and join GFG in this exciting role shaping the face of fashion e-commerce!
Global Fashion Group embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be.
We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.