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.

Bachelor's/Master's in Engineering 2-5 yearsDesign and develop application solutions, Optimize application performance and functionality, Ensure applications meet user and business requirements, Provide technical support for applications, Collaborate with stakeholders to address application needs.