Job Specifications
About the Job:
Job Title: Generative AI Data Scientist
Location: London, UK (Hybrid)
Department: AI System Design
Experience: 5+ and above only
Employment Type: Contract
About the Role
We are seeking an innovative and highly skilled Generative AI Data Scientist to join our AI System Design team. This individual will play a key role in bridging business needs with advanced AI-driven solutions. The ideal candidate will have experience in end-to-end AI experiment lifecycle management, architecture design, and the ability to translate business KPIs into measurable AI outcomes. A strong background in data management (preferably on Databricks), along with proficiency in modern Generative AI frameworks, is essential.
This role demands both technical depth and excellent communication skills to engage with business stakeholders, design scalable AI systems, and ensure reliable model deployment using Azure and Databricks.
Key Responsibilities
Lead end-to-end AI experimentation processes from conceptualisation to deployment.
Collaborate with business stakeholders to define success metrics, KPIs, and measurable outcomes for AI applications.
Translate business requirements into detailed AI solution designs, including:
Business Value definition
AI solution design (Data Flow, AI component selection, Prompt Engineering, API, and AI integration planning)
Automated model evaluation and monitoring frameworks
Design, build, and scale data pipelines and AI workflows on Azure and Databricks ecosystems.
Apply Generative AI techniques for text, code, image, and multi-modal use cases using advanced prompt engineering.
Utilise modern GenAI toolkits and libraries, including:
PyTorch
LangChain, LangGraph, Model Context Protocol, Google’s Agent Development Kit (ADK), and similar agentic frameworks.
Develop experiments for LLM fine-tuning, retrieval-augmented generation (RAG), and multi-agent AI workflows.
Deliver production-grade Python code using advanced data science, ML, and analytics libraries (e.g., Pandas, NumPy, Scikit-learn, PyTorch, Hugging Face Transformers, Pydantic).
Document and communicate AI designs, decisions, and experiment outcomes to both technical and non-technical stakeholders.
Lead the design and deployment of automated AI performance evaluation frameworks.
Required Qualifications
Master’s or PhD in Computer Science, Data Science, AI/ML, Mathematics, or related field.
5+ years of experience in applied data science, with at least 2+ years focused on Generative AI/LLMs.
Strong applied knowledge of Databricks data engineering and ML workflows.
Proficiency in the Azure AI/ML ecosystem, including MLOps and data management best practices.
Demonstrated expertise in:
Python (advanced)
AI/ML libraries (PyTorch, Hugging Face, Scikit-learn, TensorFlow, optional)
Prompt engineering and fine-tuning LLMs for task-specific use cases
Familiarity with LangChain, LangGraph, MCP, or other agentic frameworks for building AI applications.
Excellent communication and stakeholder management skills.
Strong ability to connect business concepts with AI-driven architectures and KPIs.
Preferred Qualifications
Hands-on experience with vector databases (e.g., Pinecone, Weaviate, FAISS) for RAG solutions.
Experience with multi-agent AI systems in enterprise settings.
Exposure to governance, compliance, and AI Ethics frameworks.
Publications or contributions to open-source AI/LLM repositories.
How to Apply:
Send your CV highlighting experience in applied data science and Generative AI/LLMs.
About the Company
Pioneers in applied thinking in the IT industry since 1994.
Careerwise UK began with a smart people network of it innovators who wanted architectural decision to be applied in the architectural design, not in the software.
Careerwise UK use a conglomerate of the best thinkers in IT and business consulting solve intractable problems.
Collectively our network of CIO’s, CTO’s, engineering leaders, Software SME’s is considered one of the best in the world.
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