Senior Data Scientist - Conversational & Agentic AI

Swap; Greater London; On-site; GBP 70,000 - 90,000; Full time

Job summary

A leading software provider in e-commerce is looking for a Senior Data Scientist to develop machine learning models and analytics systems that enhance conversational AI and autonomous agents. The ideal candidate will have over 4 years of experience in data science, specializing in NLP and agentic systems. Responsibilities include designing AI ecosystems, developing chat flows, and creating metrics for performance tracking. Join this innovative team and contribute to cutting-edge solutions in a collaborative environment.

Benefits

Equity

Career growth opportunities

Work with modern technologies

Qualifications

• 4+ years in data science specializing in NLP and conversational AI.
• Expert experience designing chat flows and autonomous AI agents.
• Proficiency in MLOps and advanced Python skills.

Responsibilities

• Design sophisticated AI agent ecosystems for e-commerce workflows.
• Develop chat flows for guiding users during e-commerce interactions.
• Create metrics to track user engagement and agent performance.
• Develop predictive models for user behavior and recommendations.

Skills

Conversational AI

Agentic Systems

NLP

Prompt Optimization

Data Analytics

Tools

PyTorch

TensorFlow

SQL

Vertex AI

scikit-learn

XGBoost

LightGBM

Job description

Senior Data Scientist - Conversational & Agentic AI

London

Say hello to the ecommerce OS.

Swap is a leading software provider dedicated to empowering e-commerce brands with innovative, data-driven solutions. Our cutting‑edge platform helps online retailers optimise their operations, enhance customer experiences, and drive growth. We are committed to fostering a collaborative and inclusive work environment where creativity and innovation thrive.

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'll focus on model development, fine‑tuning, measurement frameworks, and advanced ML techniques that enhance both conversational experiences and agentic capabilities.

What You’ll Do

• 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 whilst 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 DeepSpeed.
• 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, LightGBM, and Google Cloud AutoML.

Skills & Qualifications

• 4+ years in data science specialising in NLP, conversational AI, and agentic systems
• Conversational & Agentic AI: 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: Expert proficiency in PyTorch, TensorFlow, 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, aWeights & Biases or similar platforms. Advanced Python skills and experience with agent frameworks and orchestration tools.

Why Join Us?

• 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 e‑commerce infrastructure for years to come.
• Equity, ownership, and career growth. We’re scaling fast, and we want you on the journey.