Lead Data Science activities across multiple streams, ensuring consistent methodologies, evaluation standards, and model quality
Define and implement experimentation frameworks, test protocols, and evaluation strategies for AI features
Establish best practices for prompt evaluation, feasibility assessments, and iterative model improvement
Oversee how AI models interact with Neo’s knowledge base to ensure accuracy, relevance, and controlled behaviour
Guide Data Scientists in refining models based on feature intake requirements and platform constraints
Collaborate closely with engineering and architecture teams to ensure models are ready for integration into production environments
Act as the central authority on AI model quality, validation, and alignment across Neo
Drive continuous improvement of Data Science standards and practices as the platform evolves

Bachelor’s or Master’s degree in Data Science, Computer Science, Applied Mathematics, or a related field
7+ years of experience in Data Science, with strong exposure to NLP, retrieval augmented systems, LLMs, or applied AI solutions
Proven experience leading Data Science teams and defining experimentation and evaluation frameworks
Strong knowledge of LLMs, embeddings, vector search, and model evaluation techniques
Hands on experience with Python, notebooks, and AI experimentation tooling
Comfortable working in cross functional environments with product, engineering, architecture, and knowledge teams

Data Science Lead

Key skills