At a Glance
- Tasks: Lead data-driven projects in conversational AI and enhance user interactions.
- Company: Forward-thinking AI company focused on innovation and collaboration.
- Benefits: Attractive salary, flexible hours, remote work options, and continuous learning opportunities.
- Other info: Join a vibrant team with endless growth potential.
- Why this job: Shape the future of AI and make a difference in user experiences.
- Qualifications: Strong background in data science and experience with AI technologies.
The predicted salary is between 36000 - 60000 £ per year.
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.
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 employer: Swap
At Swap, we pride ourselves on being an exceptional employer that fosters a culture of clarity, creativity, and shared ownership. As an Engineering Team Lead, you will not only lead a dynamic team in a greenfield project but also enjoy ample opportunities for professional growth in a fast-paced, high-growth environment. Our commitment to innovation and collaboration ensures that every employee can contribute meaningfully while benefiting from a supportive work culture that values both individual and team success.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist - Conversational & Agentic AI
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with other data scientists. You never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to conversational AI. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data science questions and case studies. Practising with friends or using mock interview platforms can help us feel more confident when it’s our turn to shine.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for talented individuals like you. Plus, it’s a great way to ensure your application gets noticed!
We think you need these skills to ace Senior Data Scientist - Conversational & Agentic AI
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Data Scientist role. Highlight your experience with conversational AI and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about conversational AI and how you can contribute to our team. Keep it engaging and personal – we love a good story!
Showcase Your Projects:If you've worked on any cool projects related to conversational or agentic AI, make sure to mention them in your application. We’re keen to see your practical experience and how you’ve tackled real-world challenges.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us. Plus, it’s super easy!
How to prepare for a job interview at Swap
✨Know Your Data
Make sure you’re well-versed in the latest trends and techniques in data science, especially in conversational AI. Brush up on your knowledge of natural language processing and machine learning algorithms, as these will likely come up during the interview.
✨Showcase Your Projects
Prepare to discuss specific projects you've worked on that relate to conversational AI. Be ready to explain your role, the challenges you faced, and how you overcame them. This will demonstrate your hands-on experience and problem-solving skills.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company’s approach to conversational AI and how they measure success. This shows your genuine interest and helps you assess if the company is the right fit for you.
✨Practice Your Communication Skills
As a Senior Data Scientist, you'll need to communicate complex ideas clearly. Practice explaining your work in simple terms, as you may need to present your findings to non-technical stakeholders. This will highlight your ability to bridge the gap between data and decision-making.
