About this role
About the Role Accenture is seeking a Healthcare Provider AI Decision Science Consultant to apply advanced analytics, ML, and AI to healthcare provider workflows. You will design and deliver decision-support solutions that operate within EMR/EHR environments and healthcare interoperability standards, helping clients realize rapid, value-driven outcomes. What You'll Do
- Assist in the delivery of Data Science, Artificial Intelligence, Analytics initiatives / program for healthcare provider clients.
- Collaborate with onshore and offshore teams to execute projects.
- Work forward-deployed with provider clients, co-creating solutions using our platforms and AI tooling to move quickly from idea to working solution.
- Bridge between business and technical domains (for both internal and external purposes); 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 provider-focused AI programs, identifying where AI can automate or augment clinical and administrative work across documentation, orders, and care coordination.
- 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, developing the business case, determining ROI, and creating the transformation roadmap.
- Contribute to the technical architecture of AI programs in provider environments—designing around the EMR / EHR and healthcare interoperability standards—and help reimagine the future way of working for clinical and operational teams 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. What We're Looking For
- 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.
- Preferred Qualifications:
- Understanding of how the EMR / EHR works and how the health record is structured, with familiarity with provider workflows such as clinical documentation, orders, and care coordination.
- Working knowledge of healthcare interoperability standards and exchange (e.g., FHIR, HL7, and the broader exchange landscape).
- Hands-on experience using Claude or an equivalent frontier AI tool to do the work.
- 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., OpenAI, Anthropic, AWS, Azure, Google Cloud).
- Knowledge of big data technologies (e.g., Hadoop, Spark). Nice to Have
- Understanding of EMR/EHR workflows and provider workflows is preferred.
- Experience with provider interoperability standards (FHIR, HL7).
- Hands-on experience with Claude or frontier AI tools.
- Experience leading large-scale delivery and multi-stakeholder programs.