Healthcare Provider AI Decision Science Consultant

Accenture•Boston, MA

4d•$54,400 - $205,800•Hybrid

About The Position

Accenture helps the world’s leading enterprises reinvent by building their digital core and unleashing the power of AI to create value at speed for organizations across industries. Our strategy is to be the reinvention partner of choice for our clients and lead in the safe, widespread adoption of AI, and to be the most client-focused, AI-enabled, great place to work in the world. We bring together the talent of our approximately 799,000 people with proprietary assets and platforms, deep process and industry expertise, and leading ecosystem relationships to deliver end-to-end solutions and measurable outcomes at scale. Through our Reinvention Services, we offer broad expertise across Cybersecurity, Digital Core, Finance, Industry and Enterprise, Song, Supply Chain and Engineering, and Talent, with advanced capabilities in AI and Data, Industry and Process, and Technology. We serve approximately 9,000 clients and generated approximately $70 billion in FY25 revenue. Visit us at www.accenture.com. We work with C-suite executives, leaders and boards of the world’s leading organizations, helping them reinvent every part of their enterprise to drive greater growth, enhance competitiveness, implement operational improvements, reduce cost, deliver sustainable 360° stakeholder value, and set a new performance frontier for themselves and the industry in which they operate. Our deep industry and functional expertise is supported by proprietary assets and solutions that help organizations transform faster and become more resilient. 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 provider domain—designing AI solutions that work inside the realities of the electronic medical record and clinical workflows, and helping define the future of healthcare interoperability. Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities. Visit us at www.accenture.com

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.
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).
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.

Nice To Haves

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.
Knowledge of agent-based modeling, reinforcement learning, and autonomous systems is highly desirable.
Familiarity with data visualization tools (e.g., Tableau, Power BI).
Master’s degree in Data Science, Computer Science, Statistics, or a related field.
Experience delivering AI or technology programs inside provider organizations.

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 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 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.