Role: Associate Data Scientist

Discovery Track: Agentic AI & Analytics Support

Role Summary: Supports AI and analytics discovery through process mining, AI use case analysis, data exploration, analytical modeling, and insight generation for CXI transformation opportunities.

Requirements
Key Responsibilities:
Analyze operational data and process flows to identify bottlenecks, inefficiencies, patterns, and improvement opportunities.
Support AI/ML and agentic AI use case analysis, prioritization, feasibility assessment, and value framing.
Prepare analytical summaries, data-readiness observations, visualizations, dashboards, and insight packs.
Collaborate with Principal Data Scientist, BAs, consultants, and architects to connect analytics findings to business opportunities.
Document data assumptions, data quality observations, process mining outputs, and analytical limitations.

Required Qualifications:
3-6+ years in analytics, data science, process mining, or applied machine learning.




Healthcare domain experience is required, with healthcare payer, claims, member experience, G&A;, audit, or regulatory workflow exposure preferred based on track assignment.
Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Engineering, or related field
Experience with Python/R/SQL, analytics tools, visualization, process mining tools, and basic ML methods preferred
Ability to translate data findings into transparent business insights.
Key Competencies / Deliverables:
Competencies: Process mining, AI use case analysis, data exploration, analytical modeling, dashboarding, insight generation, documentation.
​Primary deliverables: Process mining outputs, analytics pack, AI use case analysis, data-readiness notes, insight dashboards, assumptions/limitations log.

📌 Data Scientist (Hyderabad)
🏢 Truviq Systems
📍 Hyderabad