Agentic Data Alchemist (AI Data Scientist) at Swap

Swap is the infrastructure behind modern agentic commerce. The only AI-native platform connecting backend operations with a forward-thinking storefront experience. Built for brands that want to sell anything - anywhere, Swap centralizes global operations, powers intelligent workflows, and unlocks margin-protecting decisions with real-time data and capability. Our products span cross-border, tax, returns, demand planning, and our next-generation agentic storefront, giving merchants full transparency and the ability to act with confidence. At Swap, we’re building a culture that values clarity, creativity, and shared ownership as we redefine how global commerce works. ABOUT THE ROLE We’re not hiring a traditional data scientist. We’re looking for:     Half human intuition.     Half machine leverage.     Running parallel code paths.     Deploying agents to explore solution spaces while you sleep. Swap is building a fully agentic, end-to-end AI Storefront, from search and personalization to outfit creation, virtual try-on, checkout, payments, returns, shipping, refunds, and support. You’ll join our Agentic squad, working alongside five AI and data science professionals to refine, scale, and evolve the intelligence layer behind our agentic storefront. This is a senior-level, high-agency generalist role for someone who can move fluidly across models, agents, experimentation, and product decisions — and ship fast in a startup environment. RESPONSIBILITIES - Collaborate closely with Product, Engineering, and the Agentic team to optimize AI-driven features across the full commerce journey - Design and improve recommendation and personalisation systems using behavioral and transactional data - Enhance conversational agents, multi-agent flows, and tool integrations - Iterate on virtual try-on and vision systems through prompt engineering, fine-tuning, and model chaining - Rapidly prototype new AI capabilities and evolve them into production-grade systems - Build and refine experimentation frameworks (A/B testing, evaluation pipelines, benchmarking) - Improve conversion, retention, and operational efficiency through applied ML - Identify automation opportunities and design agent-powered internal tooling - Contribute to shaping the evolving intelligence architecture of our agentic commerce platform SKILLS & QUALIFICATIONS - Bachelor’s degree or higher in Computer Science, Data Science, Engineering, or related field - 5+ years of experience in data science, machine learning, or software engineering - 2+ years of direct experience building AI-powered systems (LLMs, recommendation engines, conversational AI, generative models, ranking systems, or vision models) - Strong Python skills (required) with experience deploying AI systems into production - Experience working in or alongside TypeScript/JavaScript environments (strong plus but not essential) - Proven ability to rapidly prototype and iterate in startup or high-velocity product teams - Experience with modern AI tooling (LLMs, multimodal models, vector databases, orchestration frameworks) - Comfortable working across backend logic, model evaluation, prompt engineering, and product strategy - High ownership mindset with the ability to operate autonomously Bonus: - Experience with multi-agent systems and agent orchestration - Background in e-commerce, marketplace dynamics, or fashion - Experience tying ML improvements directly to revenue and margin impact - Strong intuition for user behavior and buying psychology BENEFITS: - Competitive base salary - Stock options in a high-growth startup - Competitive PTO with public holidays additional - Private Health - Pension - Wellness benefits - Breakfast Mondays DIVERSITY & EQUAL OPPORTUNITIES: We embrace diversity and equality in a serious way. We are committed to building a team with a variety of backgrounds, skills, and views. The more inclusive we are, the better our work will be. Creating a culture of equality isn't just the right thing to do; it's also the smart thing.