Health Data Scientist 3- AI Solutions

The Opportunity

As a Health Data Scientist III- AI Solutions you willsupport clients and project teams in applying artificial intelligence, machine learning, and advanced analytics to real-world operational, programmatic, and analytical challenges. This role combines hands-on technical work, client-facing collaboration, and practical problem solving to help develop AI-enabled solutions that improve decision-making, increase efficiency, and support measurable impact.

You will work with project teams, clients, senior technical staff, and business development colleagues to identify appropriate opportunities for AI application, build prototypes and analytical solutions, and contribute to innovative approaches for new business opportunities. Initially, this role will focus on health-related programs and growth opportunities spanning public health, healthcare delivery, justice programs and behavioral health, and health systems research.

This position is ideal for a technically strong, collaborative professional who enjoys translating real-world problems into practical AI and data science solutions, working closely with stakeholders, and continuing to grow expertise across implementation, client engagement, and applied innovation.

Key Roles and Responsibilities

AI and Data Science Solutions

- Support the design, development, testing, and implementation of AI, machine learning, and advanced analytics solutions that address client needs in healthcare, public health, and justice systems.

- Build, test, and refine predictive models, natural language processing solutions, and generative AI applications under the guidance of senior technical staff.

- Develop prototypes, proofs of concept, and practical applications using modern AI technologies, with support in moving successful concepts toward broader implementation.

- Apply large language models (LLMs), retrieval-augmented generation (RAG), agentic AI concepts, and machine learning techniques todefinedbusiness and program challenges.

- Contribute to data pipelines, model evaluation approaches, and analytical workflows that support reliable and scalable solutions, for government data, with focus on public health, healthcare, and justice systems.

- Follow and contribute to responsible AI practices, including model testing, validation, documentation, governance, and risk mitigation.

Client Engagement and Solution Development

-

- Collaborate with project teams and clients to identify opportunities where AI and advanced analytics can improve outcomes

- Translate business requirements into technical options, analytical approaches, and solution designs in collaboration with project leads and technical experts.

- Participate in solutioning sessions, demonstrations, workshops, and discovery activities.

- Communicate technical concepts and analytical findings to both technical and non-technical audiences.

- Support implementation, testing, user feedback, and adoption of AI-enabled tools and solutions.

Health Analytics and Innovation

- Apply data science and AI techniques to health, public health, healthcare, and global health challenges.

- Analyze structured and unstructured data to generate insights and improve organizational performance.

- Support development of AI-enabled approaches for:

- Public health and epidemiological analytics

- Program monitoring and evaluation

- Healthcare operations and service delivery

- Knowledge management and information retrieval

- Research synthesis and evidence generation

- Workflow automation and decision support

Business Development and Growth Support

- Support proposal development and capture efforts by contributing technical concepts, solution inputs, and innovation ideas.

- Participate indevelopmentof demonstrations, prototypes, and AI capabilities for client pursuits.

- Contribute to white papers, concept notes, technical presentations, and thought leadership materials.

- Monitor emerging AI technologies and approache