Specialist II - Data Science

Associate Data Scientist II - Agentic AI Analytics Discovery

Grade: C1
Location: India
Track: Discovery - Agentic AI Analytics Support

Role Overview

We are looking for an Associate Data Scientist II to support AI and analytics discovery initiatives focused on CXI transformation opportunities. The role involves process mining, AI use case analysis, data exploration, analytical modeling, and insight generation to identify operational improvement opportunities and assess the feasibility and value of AI/ML and agentic AI solutions.

The role will work closely with Principal Data Scientists, Business Analysts, consultants, and architects to translate analytical findings into meaningful business opportunities.

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.
• Perform data exploration and analytical modeling to generate actionable insights.
• Prepare analytical summaries, data-readiness observations, visualizations, dashboards, and insight packs.
• Support process mining activities and document process mining outputs.
• Collaborate with Principal Data Scientists, BAs, consultants, and architects to connect analytics findings to business opportunities.
• Identify and document data assumptions, data quality observations, process mining outputs, and analytical limitations.
• Support the development of dashboards and reports for CXI transformation opportunities.
• Contribute to analytical insight generation and communicate findings clearly to business stakeholders.

Must-Have Skills

• 3-6+ years of experience in analytics, data science, process mining, or applied machine learning.
• Healthcare domain experience is required.
• Exposure to healthcare payer, claims, member experience, GA, audit, or regulatory workflows preferred based on track assignment.
• Strong experience with Python/R/SQL .
• Experience in data exploration and analytical modeling .
• Experience with analytics tools and visualization .
• Experience with process mining tools .
• Knowledge of basic ML methods .
• Strong ability to translate data findings into clear business insights .
• Strong understanding of process mining, AI use case analysis, data exploration, dashboarding, insight generation, and documentation .
• Bachelor s or Master s degree in Data Science, Statistics, Computer Science, Engineering, or related field .

Good-to-Have Skills

• Experience supporting AI/ML and agentic AI use case analysis .
• Experience in AI use case prioritization, feasibility assessment, and value framing .
• Experience preparing analytical summaries, insight packs, and data-readiness observations .
• Experience identifying process bottlenecks, inefficiencies, patterns, and improvement opportunities .
• Experience documenting data assumptions, data quality observations, and analytical limitations .
• Experience working with Principal Data Scientists, BAs, consultants, and architects on analytics discovery initiatives.