Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join our team to optimise AI-driven features and enhance intelligent commerce solutions.
- Company: Innovative startup redefining global commerce with cutting-edge AI technology.
- Benefits: Stock options, competitive PTO, private health, and wellness perks.
- Why this job: Be part of a dynamic team shaping the future of AI in commerce.
- Qualifications: 5+ years in data science or machine learning; strong Python skills required.
- Other info: Diverse and inclusive culture with excellent growth opportunities.
The predicted salary is between 36000 - 60000 £ per year.
London (Hybrid), Amsterdam
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. 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
- 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
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.
Agentic Data Alchemist (AI Data Scientist) employer: Swap
Contact Detail:
Swap Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Agentic Data Alchemist (AI Data Scientist)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI and data science. This is your chance to demonstrate your expertise and creativity, so make it shine!
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios specific to AI and data science roles. Think about how you can articulate your experience with machine learning and AI systems clearly and confidently.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are genuinely interested in joining our team at Swap.
We think you need these skills to ace Agentic Data Alchemist (AI Data Scientist)
Some tips for your application 🫡
Show Your Passion for AI: When you're writing your application, let your enthusiasm for AI and data science shine through. We want to see how you connect with our mission at Swap and how your experience aligns with the role of an Agentic Data Alchemist.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for this specific role. Highlight your relevant experience in building AI-powered systems and your ability to work in a fast-paced environment. We love seeing candidates who take the time to match their skills with what we’re looking for!
Be Clear and Concise: Keep your application clear and to the point. Use straightforward language to describe your achievements and experiences. We appreciate clarity, so make it easy for us to see why you’d be a great fit for our team.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team at Swap.
How to prepare for a job interview at Swap
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI systems, especially those related to recommendation engines and conversational AI. Be ready to discuss your past experiences with these technologies and how they can be applied to enhance the agentic storefront.
✨Showcase Your Prototyping Skills
Prepare to talk about your experience in rapidly prototyping AI capabilities. Think of specific examples where you took an idea from concept to production, and be ready to explain the challenges you faced and how you overcame them.
✨Collaboration is Key
Since this role involves working closely with Product and Engineering teams, come prepared with examples of successful collaborations. Highlight how you’ve worked across different teams to optimise features and drive results in a fast-paced environment.
✨Emphasise Your Ownership Mindset
This position requires a high ownership mindset, so be ready to share instances where you took initiative and operated autonomously. Discuss how you’ve identified opportunities for improvement and implemented solutions that had a tangible impact on the business.