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- Tasks: Develop cutting-edge AI models for e-commerce and enhance conversational experiences.
- Company: Join a global tech team at the forefront of AI innovation.
- Benefits: Equity, career growth, and the chance to work with modern tech.
- Why this job: Shape the future of e-commerce with impactful AI solutions.
- Qualifications: 4+ years in data science with expertise in NLP and conversational AI.
- Other info: Dynamic environment with opportunities for autonomy and collaboration.
The predicted salary is between 48000 - 72000 £ per year.
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.
Responsibilities
- 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 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.
- 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, 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, Weights & 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 ecommerce infrastructure for years to come.
- Equity, ownership, and career growth. We’re scaling fast, and we want you on the journey.
Location: London, England, United Kingdom
Senior Data Scientist - Conversational & Agentic AI in London employer: Swap
Contact Detail:
Swap Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist - Conversational & Agentic AI in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to conversational AI and agentic systems. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions and be ready to discuss your experience with ML techniques and chat flow design.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are genuinely interested in joining our team.
We think you need these skills to ace Senior Data Scientist - Conversational & Agentic AI in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Scientist role. Highlight your experience with NLP, conversational AI, and any relevant projects that showcase your skills in designing chat flows and agentic systems.
Craft a Compelling Cover Letter: Your cover letter should tell us why you're passionate about AI and how your background aligns with our mission at StudySmarter. Share specific examples of your work with machine learning models and analytics systems.
Showcase Your Technical Skills: Don’t forget to mention your proficiency in tools like PyTorch, TensorFlow, and any experience with fine-tuning techniques. We want to see how you can contribute to our advanced ML techniques and agentic capabilities.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and get to know you better!
How to prepare for a job interview at Swap
✨Know Your Models Inside Out
Make sure you’re well-versed in the machine learning models and techniques mentioned in the job description. Be ready to discuss your experience with fine-tuning LLMs, prompt engineering, and any specific frameworks like Vertex AI Training. This shows you’re not just familiar but have hands-on experience.
✨Showcase Your Problem-Solving Skills
Prepare to discuss real-world problems you've solved using data science, especially in conversational AI or agentic systems. Use the STAR method (Situation, Task, Action, Result) to structure your answers, highlighting how your solutions improved user engagement or task completion rates.
✨Demonstrate Your Collaborative Spirit
Since the role involves designing multi-agent architectures and orchestrating chat flows, be ready to talk about your experience working in teams. Share examples of how you’ve collaborated with others to develop complex systems, and emphasise your ability to manage handoffs between specialised agents.
✨Prepare Questions That Matter
Think of insightful questions to ask your interviewers about their current projects or challenges they face in developing conversational AI. This not only shows your interest in the role but also gives you a chance to demonstrate your knowledge and enthusiasm for the field.