Director of Digital and Data

Head of Data Science Flexible / Hybrid | Early-Stage | High Impact The Future of Fashion DiscoveryAs a female-founded startup at an exciting inflection point, we're shaping something genuinely game-changing. This isn't just a product. It's a movement. And we're looking for a brilliant Head of Data Science to help lead the charge.You'll own and build the intelligence at the heart of the platform - personally designing, building, deploying and iterating on production AI systems while shaping long-term data and AI strategy.You'll work shoulder-to-shoulder with founders, product and engineering to decide:What to buildWhat not to buildWhen "good enough" is the right answerWhat You'll Own Hands-on AI & Data LeadershipPersonally design, build and deploy production computer vision and agentic AI systems powering search, discovery, recommendations and personalisationOwn the full lifecycle: problem framing * data exploration * modelling * evaluation * deployment * monitoring * iterationMake pragmatic trade-offs between speed, quality and technical elegance Product & User ImpactTranslate messy user problems into clear, testable interventionsPartner deeply with Product to optimise for trust, confidence and discovery - not just offline metricsFocus relentlessly on feature value and ROI Data FoundationsWork hands-on with imperfect datasetsDesign annotation strategies, quality checks and evaluation frameworks from scratchDecide where data investment matters - and where it doesn't (yet) ️ Technical Direction & MLOpsEstablish pragmatic MLOps practices (CI/CD, deployment, monitoring, alerting)Build scalable but lightweight pipelines (AWS)Ensure models are robust, reliable, explainable where needed and safe in production Team & CultureSet a strong technical and ethical bar for data scienceMentor future hires as the team growsModel curiosity, humility and ownership in high ambiguity Ethics, Bias & Brand TrustProactively address bias, representation and fairness in AI systemsAlign technical decisions with company values around individuality and body confidenceSpeak up when technical direction risks user trust Internal AI Adoption (Critical)Evaluate and drive adoption of AI productivity tools across Product & EngineeringEmbed AI-assisted development into day-to-day workflowsDefine standards that let us move fast - without building tech debt mountainsMust-Haves3-5 years in a technical leadership roleProven track record delivering AI/ML products from inception to productionDeep hands-on expertise in at least one core ML domain (strong preference for computer vision and/or generative AI)Experience with LLMs, conversational AI and evaluation of generative systemsStrong MLOps and engineering mindsetHands-on with AWS, Python, SQL and modern ML toolingStrong data engineering and annotation strategy experienceExperience leading teams and working with senior stakeholdersComfortable in fast-moving, evolving environmentsSimplicity mindset: start simple, add complexity only when necessary Similar jobs

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