Senior Data Scientist

Role Summary: Develop advanced analytics and graph-based intelligence solutions to uncover patterns, relationships, and actionable insights for business and risk use cases. Key Responsibilities: • Design and implement knowledge graph models and semantic structures. • Apply data mining techniques to detect trends, anomalies, and hidden links. • Build data preparation, enrichment, and validation pipelines. • Collaborate with engineering teams to produce models and graph services. • Communicate findings clearly to technical and non-technical stakeholders. • Ensure model/data traceability, quality, and governance alignment. AI Skills for This Role: • Use LLM-assisted workflows for hypothesis generation and analysis acceleration. • Apply AI methods for graph reasoning, entity linking, and relationship discovery. • Evaluate model outputs critically for bias, drift, leakage, and reliability. • Use AI tools responsibly with strong data privacy and governance practices.