Senior AI Data Scientist
Core
Design rigorous experiments and evaluation frameworks to assess AI solutions for analytical reasoning and decision-making, producing evidence-based recommendations for enterprise adoption.
Role type
Senior AI Data Scientist (Research & Evaluation)
Builds
Benchmarks, evaluation frameworks, experimental methodologies, and design patterns for conversational and agentic analytics.
Domain
Financial Services / AI Research / Agentic Analytics
Deliverable
research
Required skills
Retrieval methods, RAG architectures, Large Language Model (LLM) architectures, Agentic systems, Statistical experimentation, SQL, Python development, Research methodology
Preferred skills
Semantic layers, Metrics modelling, Ontologies, Knowledge graphs, NL2SQL, Text-to-SQL, Enterprise data architecture
Responsibilities
Designing and conducting research into retrieval and agentic approaches for analytical reasoning; Building benchmarks and evaluation frameworks; Prototyping AI capabilities using Python and LLMs; Producing technical evaluations and research outputs; Developing design patterns for conversational analytics; Collaborating with stakeholders to translate findings into practical recommendations.
