Agentic Data Alchemist (AI Data Scientist)

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.