
Hey Savi is on a mission to change the way people search and shop online, forever. As the ultimate fashion matchmaker, Hey Savi finds you your perfect item or outfit in under 60 seconds by connecting…

Hey Savi is on a mission to change the way people search and shop online, forever. As the ultimate fashion matchmaker, Hey Savi finds you your perfect item or outfit in under 60 seconds by connecting…
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About Hey Savi Hey Savi is a fashion tech startup here to spark a new era in fashion discovery, igniting body confidence in everybody and every body. Think Shazam meets Spotify, but for fashion. As a female-founded startup, we’re at an exciting stage and shaping something truly game-changing in the world of fashion discovery.
Our community doesn’t want to scroll through paid ads and dead-end links. They want fashion that fits – in stock, in their size and at the best price – with a search experience that puts them at the centre. We’re creating a movement, not just a product, and we're looking for someone brilliant to help lead the charge.
The Role: Lead Data Scientist, Computer Vision
We’re seeking an exceptional Lead Data Scientist to architect, build, and productionise the computer vision intelligence engine at the core of Hey Savi.
This pivotal role requires you to personally design, implement, deploy, and iterate on state-of-the-art computer vision models, from image processing and embedding, to object detection and advanced agentic AI systems.
You will function as a technical principal, driving the long-term data and AI strategy and making high-stakes, pragmatic trade-offs on technical direction alongside the founders, product and engineering teams.
This role is for a highly experienced engineer who demands 90% hands-on technical contribution and genuine ownership of the production system, not for a pure people manager or a research-focused position.
Requirements What You'll Be Responsible For
Hands-on Computer Vision Leadership
Product & User Impact
Data Reality & Foundations
Technical Direction & MLOps
Team & Culture (Now and Future)
Must-haves
Nice-to-haves
What Success Looks Like (6–12 Months)
Benefits What You’ll Get
We strongly encourage people of all backgrounds, identities, body types and lived experiences to apply. We’re building a brand that celebrates individuality – and our team should reflect that too.