Senior Data Scientist - Conversational & Agentic AI

Senior Data Scientist - Conversational & Agentic AI

We are seeking a Senior Data Scientist to develop machine learning models and analytics systems that power intelligent conversational AI and autonomous AI agents for e-commerce. You will focus on model development, fine-tuning, measurement frameworks, and advanced ML techniques that enhance both conversational experiences and agentic capabilities.

• Agentic System Design & Multi-Agent Architecture:
  Design sophisticated AI agent ecosystems that autonomously handle complex e-commerce workflows.
• Conversational Flow & Agent Orchestration:
  Develop chat flows that guide users through e-commerce discovery, advice, and purchase journeys while managing handoffs between specialised agents with natural conversation transitions.
• Prompt Engineering & Agent Optimisation:
  Develop and optimise prompts for both conversational AI and autonomous agents, implementing few-shot learning patterns, chain-of-thought reasoning, tool use, and structured output generation for multi-step agentic workflows.
• Fine-tune LLMs for Agentic Applications:
  Fine-tune language models for optimising both conversational flows and autonomous agent decision-making using techniques like LoRA, QLoRA, and full fine-tuning on e-commerce datasets with Vertex AI Training and frameworks such as Axolotl, Unsloth, or Deep Speed.
• Design Agentic Quality Metrics:
  Create robust metrics to track user engagement, task completion rates, agent performance, multi-agent coordination effectiveness, and business outcomes.
• Build Predictive Models:
  Develop user behaviour prediction, conversation outcome forecasting, intent classification, agent performance prediction, and recommendation systems using scikit-learn, XGBoost, Light
  
  GBM, and Google Cloud AutoML.

• 4+ years in data science specialising in NLP, conversational AI, and agentic systems
• Expert experience designing chat flows, dialogue systems, autonomous AI agents, multi-agent architectures, and advanced prompt optimisation including few-shot learning, chain-of-thought reasoning, tool use, and comprehensive AI agent development and evaluation.
• Advanced ML & LLMs:
  Proficiency in PyTorch, Tensor Flow, Hugging Face, and fine-tuning techniques such as LoRA, QLoRA, or RLHF using Vertex AI Training and tools such as Axolotl or Unsloth
• Data & Analytics: SQL experience, experimental design, and A/B testing, ideally with Google Analytics and Vertex AI
• MLOps & Domain Knowledge:
  Production experience with Vertex AI Pipelines, MLflow, Weights & Biases or similar platforms. Advanced Python skills and experience with agent frameworks and orchestration tools.

• A truly global team. Swap operates across time zones, markets, and currencies.
• Work with modern tech (AI-powered systems, cross-border APIs, advanced analytics).
• Autonomy with high impact. Your decisions will shape the backbone of ecommerce infrastructure for years to come.
• Equity, ownership, and career growth. We re scaling fast, and we want you on the journey.

London, England, United Kingdom