Head of Data Science
hace 4 días
City of London
Head of Data Science 📍 Flexible / Hybrid | Early-Stage | High Impact 🚀 The Future of Fashion Discovery As 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 build, • What not to build, • When “good enough” is the right answer What You’ll Own 🔬 Hands-on AI & Data Leadership • Personally design, build and deploy production computer vision and agentic AI systems powering search, discovery, recommendations and personalisation, • Own the full lifecycle: problem framing → data exploration → modelling → evaluation → deployment → monitoring → iteration, • Translate messy user problems into clear, testable interventions, • Partner deeply with Product to optimise for trust, confidence and discovery — not just offline metrics, • Work hands-on with imperfect datasets, • Design annotation strategies, quality checks and evaluation frameworks from scratch, • Establish pragmatic MLOps practices (CI/CD, deployment, monitoring, alerting), • Build scalable but lightweight pipelines (AWS), • Set a strong technical and ethical bar for data science, • Mentor future hires as the team grows, • Proactively address bias, representation and fairness in AI systems, • Align technical decisions with company values around individuality and body confidence, • Evaluate and drive adoption of AI productivity tools across Product & Engineering, • Embed AI-assisted development into day-to-day workflows, • 3–5 years in a technical leadership role, • Proven track record delivering AI/ML products from inception to production, • Deep 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 systems, • Strong MLOps and engineering mindset, • Hands-on with AWS, Python, SQL and modern ML tooling, • Strong data engineering and annotation strategy experience, • Experience leading teams and working with senior stakeholders, • Comfortable in fast-moving, evolving environments, • Simplicity mindset: start simple, add complexity only when necessary