Our Decision Science practitioners use Industry & Functional domain expertise along with agentic AI knowledge to design, develop and reinvent processes with AI to drive efficiency and growth. You will be responsible for leveraging advanced analytics, machine learning, and AI technologies to create decision-making systems. This role requires a blend of strong analytical mindset, technical expertise, and the ability to communicate complex findings for both technical and non-technical stakeholders to deliver innovative solutions aligned with Accenture's commitment to driving 360° value for clients. 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. As a Healthcare Payer AI Decision Science Consultant, you will: - 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. - Work 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. Ability to travel up to 80%; travel as needed based on client expectations. Here's What You Need: - 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. Nice to Have: - 3+ years of experience building decision-based frameworks and models to drive insights. - 3+ years of high value consulting experience or equivalent internal consulting experience. - 3+ years of experience leading workstreams and meeting deadlines. - 3+ years of large-scale delivery experience with minimal help. - Proven track record of developing and implementing data-driven solutions. - Proficiency in programming languages such as Python, R, or SQL. - Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn). - 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). - You have experience bringing innovative ideas to projects. - Master's degree in Data Science, Computer Science, Statistics, or a related field. - Experience delivering AI or technology programs inside payer organizations. 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. We anticipate this job posting will be posted until 08/10/2026. Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here: U.S. Employee Benefits | Accenture Role Location Annual Salary Range California $70,350 to $205,800 Cleveland $59,100 to $164,600 Colorado $63,800 to $177,800 District of Columbia $68,000 to $189,300 Illinois $59,100 to $177,800 Maine $54,400 to $151,400 Maryland $63,800 to $177,800 Massachusetts $63,800 to $189,300 Minnesota $63,800 to $177,800 New York $66,300 to $205,800 New Jersey $68,000 to $205,800 Virginia $59,100 to $189,300 Washington $80,200 to $189,300