Senior Data Scientist (Agentic AI)

Swap Commerce Limited; Greater London; Hybrid; GBP 70,000 - GBP 90,000; Full time

Job summary

A forward-thinking tech company in London seeks a Senior Data Scientist specializing in Conversational & Agentic AI. The role involves designing AI agent systems for navigation of data and operational workflows, alongside responsibilities in performance metrics and evaluation frameworks. A minimum of 4 years in data science or machine learning is required, with expertise in NLP and SQL. Employees enjoy benefits like competitive salaries, stock options, and wellness initiatives. This position offers a hybrid working environment.

Benefits

Competitive base salary

Stock options

Competitive PTO

Private Health

Pension

Wellness benefits

Breakfast Mondays

Qualifications

• 4+ years in data science or ML engineering with a focus on NLP and LLM systems.
• Expert in designing autonomous AI agents for operational workflows.
• Strong SQL experience with business intelligence tools.

Responsibilities

• Design AI agent ecosystems for analytical and operational workflows.
• Develop agent systems for data discovery and operational execution.
• Create metrics for tracking agent performance and query success.

Skills

NLP expertise

Agentic AI systems design

SQL proficiency

Strong analytical skills

A/B testing design

Tools

Vertex AI

MLflow

Weights & Biases

Job description

Overview

Senior Data Scientist - Conversational & Agentic AI
Location: London (Hybrid)

About 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.

Responsibilities

• Agentic System Design & Multi-Agent Architecture: Design AI agent ecosystems that autonomously handle analytical and operational workflows including data exploration, insight generation, process automation, and cross-functional coordination.
• Analytical & Operational Workflow Design: Develop agent systems that autonomously navigate data discovery, hypothesis testing, insight delivery, and operational task execution whilst managing handoffs between specialised agents (SQL, visualisation, statistical analysis, workflow automation) with seamless transitions.
• Prompt Engineering & Agent Optimisation: Develop and optimise prompts for autonomous agents, implementing few-shot learning, chain-of-thought reasoning, tool use, and structured output generation for multi-step analytical and operational workflows.
• Comprehensive Evaluation Frameworks: Build evaluation systems measuring analytical accuracy, operational task success, agent reliability, and coordination effectiveness. Develop automated testing suites, benchmark datasets, and continuous production monitoring.
• Agent Performance Analysis: Create metrics and dashboards tracking query success rates, analytical correctness, task completion, error patterns, and business value. Conduct systematic A/B testing and comparative evaluations.
• Production Engineering & Reliability: Build scalable, reliable agent systems with error handling, fallback mechanisms, logging, tracing, and debugging tools for complex multi-agent interactions.

What we would like to see

• 4+ years in data science or ML engineering specialising in NLP, LLM systems, and agentic architectures.
• Analytical & Agentic AI: Expert designing autonomous AI agents for data analysis and operational workflows, multi-agent architectures, SQL generation, and advanced prompt optimisation including few-shot learning, chain-of-thought reasoning, and tool use.
• Evaluation & Experimentation: Strong experimental design, A/B testing, metrics development, and evaluation frameworks for LLM-based systems with automated and human evaluation methods.
• Data & Analytics: Strong SQL experience with business intelligence platforms, data warehousing, and analytics tools.
• Engineering & Production: Production experience with ML platforms (Vertex AI, MLflow, Weights & Biases), agent frameworks, and orchestration tools. Advanced Python with focus on reliable, scalable systems, monitoring, and observability.

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.