Healthcare Payer AI Decision Science Consultant

About the role

This is an industry-specific role focused on the healthcare payer domain—designing AI solutions that fit payer operations, data, and the regulatory environment, and that create real leverage across the member and provider lifecycle.

Responsibilities

• Assist in the delivery of Data Science, Artificial Intelligence, Analytics initiatives / program for healthcare payer clients
• Collaborate with onshore and offshore teams to execute projects
• Forward-deployed with payer clients, co-creating solutions using our platforms and AI tooling to move quickly from idea to working solution
• Understand and be able to bridge between business and technical domains (for both internal and external purpose)
• Engage with business and analytics stakeholders to understand their needs and build relationships
• Support the sales process by contributing to sales solutioning for DS & ML related opportunities
• Develop and customize DS / ML / AI / Analytics models and solutions for specific business problems within an industry or function
• Help scope payer-focused AI programs and target high-value payer functions such as prior authorization, claims and utilization management, member engagement, care management, and risk adjustment
• Collaborate across Accenture’s network and partner with strategy, consulting, and tech teams in the sales and delivery processes
• Identify AI use cases in an industry and/or function by understanding an organization's goals and areas of need, developing the business case, determining ROI, and creating the transformation roadmap
• Contribute to the technical architecture of AI programs in payer environments, designing for payer data and compliance constraints, and help reimagine the future way of working for payer operations rather than simply automating today’s processes
• Advise organization on adoption of responsible AI solutions and governance by training users on new processes, maintaining solutions, tracking results, and communicating the realized value

Requirements

• Bachelor’s Degree, preferably in Data Science, Computer Science, Statistics, or a related field
• 3+ years of experience in Data Science, Machine Learning, AI, or Advanced Analytics
• Understanding of core payer functions and operations: prior authorization, claims / utilization management, member engagement, care management, and risk adjustment
• Comfortable with payer data—claims, eligibility, and benefits—and the regulatory environment (e.g., HIPAA, CMS)
• Hands-on experience using Claude or an equivalent frontier AI tool to do the work

Qualifications

• Ability to travel up to 80%; travel as needed based on client expectations

Skills

• Strong analytical and problem-solving skills
• Experience with AI Native and cloud platforms (e.g., Open AI, Anthropic, AWS, Azure, Google Cloud)
• Knowledge of big data technologies (e.g., Hadoop, Spark)
• Knowledge of agent-based modeling, reinforcement learning, and autonomous systems is highly desirable
• Familiarity with data visualization tools (e.g., Tableau, Power BI)
• Strong program management and communication skills, both verbal and written
• Fluent in English (both spoken and written)
• Experience delivering AI or technology programs inside payer organizations

Pay

Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.

Schedule

Full-time