The Role
Supports AI and analytics discovery by analyzing operational data and process flows, identifying inefficiencies, assessing AI/ML use cases, and generating business insights. Responsibilities include data exploration, analytical modeling, process mining, dashboard and visualization development, data-readiness assessment, documentation of assumptions and limitations, and collaboration with data scientists, business analysts, consultants, and architects. Healthcare domain experience is required.
Summary Generated by Built In
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 clear 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.
Skills Required
- 3-6+ years of experience in analytics, data science, process mining, or applied machine learning
- Healthcare domain experience
- Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Engineering, or a related field
- Experience with Python, R, or SQL
- Experience with analytics tools and data visualization
- Experience with process mining tools
- Experience with basic machine learning methods
- Ability to translate data findings into clear business insights
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The Company
What We Do
Truviq Systems is a Hyderabad-based technology and IT services company that helps enterprises modernize operations through intelligent automation, AI-driven decisioning, workflow orchestration, and digital transformation. Its capabilities include BPM and Pega consulting, enterprise architecture, software solutions, robotic process automation, DevOps, mobile development, and healthcare workflow automation spanning prior authorization, claims and appeals, and care management for US and European markets.
