Role: Data Scientist (Generative AI)
Location: London, United Kingdom (flexible hybrid)
Type: Permanent - Immediate start.
My client, a well established global data and AI consultancy serving major organisations across sectors including insurance, healthcare, banking and retail, is looking for a highly capable and innovative Data Scientist with strong Generative AI experience to join their Data Science team.
The Role:
You'll lead the development and deployment of GenAI solutions, including LLM-based applications, prompt engineering, fine-tuning, embeddings, and retrieval-augmented generation (RAG) for enterprise use cases. My client is after someone with a strong foundation in machine learning and NLP, and hands-on experience with modern GenAI tools such as OpenAI, LangChain, Hugging Face, or comparable frameworks.
Key Responsibilities:
- Design and build GenAI solutions using LLMs for business problems spanning customer service, document automation, summarisation, and knowledge retrieval
- Fine-tune or adapt foundation models using domain-specific data
- Implement RAG pipelines, embedding models, and vector databases (e.g., FAISS, Pinecone, ChromaDB)
- Collaborate with data engineers, MLOps, and product teams to build end-to-end AI applications and APIs
- Develop custom prompts and prompt chains using common orchestration frameworks
- Evaluate model performance, mitigate bias, and optimise for accuracy, latency, and cost
- Stay current with the latest trends in LLMs, transformers, and GenAI architecture
Essential Experience:
- Solid experience in Data Science / ML, including recent hands-on work with LLMs/GenAI projects
- Strong Python skills, particularly with Transformers, LangChain, scikit-learn, PyTorch, or TensorFlow
- Experience with GPT-4, Claude, Mistral, LLaMA, or similar models
- Knowledge of vector search, embedding models, and semantic search techniques
- Ability to build and deploy scalable AI workflows via APIs or web apps (e.g., FastAPI, Streamlit, Flask)
- Familiarity with major cloud platforms and MLOps best practices
- Strong communication skills, with the ability to translate technical solutions into business impact
Desirable:
- Experience with prompt tuning, few-shot learning, or LoRA-based fine-tuning
- Understanding of data privacy and security considerations in GenAI applications
- Familiarity with enterprise architecture, SDLC, or GenAI use cases in regulated industries
- Experience with enterprise data platform tools is a plus
What's on Offer:
- Competitive salary plus bonus
- Private healthcare, life assurance, income protection, and pension scheme
- Additional financial wellbeing benefits
- Strong investment in professional development and training
- Share purchase scheme
- Flexible hybrid working model
- A genuinely inclusive, equal-opportunity employer
Please note: candidates must already hold the right to work in the United Kingdom.
