Healthcare Provider AI Decision Science Consultant

Role Overview

Accenture’s Decision Science practitioners use industry and functional domain expertise along with knowledge of AI to design and reinvent processes with AI to drive efficiency and growth.

The Healthcare Provider AI Decision Science Consultant will design AI solutions that work within electronic medical records and clinical workflows, helping define the future of healthcare interoperability.

Responsibilities

• 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.
• Understand and bridge 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 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 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.
• Travel Requirements

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

Qualifications

• 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., Tensor Flow, Py Torch, 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 provider organizations.
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