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.

Design 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.

Bachelor's/Master's in Engineering 2-5 years