• Analyze Medicaid claims, visit, and billing datasets using SQL and other analytical tools. • Identify patterns and anomalies that may indicate fraud, waste, or abuse, including: Visit overlaps and impossible or implausible service combinations, Inflated, duplicate, or unbundled billing, Provider billing spikes or outlier utilization patterns, Inconsistencies in electronic visit verification (EVV) data, Suspicious provider enrollment or credentialing indicators, Patterns indicative of upcoding, place-of-service manipulation, or beneficiary identity issues. • Develop and refine detection queries and analytical logic that can be applied across datasets at scale. • Conduct proactive data analysis to identify emerging fraud patterns and program integrity risks. • Apply knowledge of the end-to-end revenue cycle — including claims submission, adjudication, remittance, and denial/appeal workflows — to contextualize billing anomalies and assess their integrity implications. • Apply machine learning and AI techniques to fraud detection, including anomaly detection models, predictive risk scoring, and unsupervised clustering of suspicious billing behavior. • Collaborate with data science teams on feature engineering, model validation, and the operationalization of AI-driven detection logic. • Leverage generative AI and LLM-based tools to support investigation summarization, pattern narrative development, and analytical workflow acceleration. • Stay current on emerging AI/ML applications in healthcare payment integrity and recommend adoption of relevant tools and techniques. • Test, validate, and continuously improve fraud detection models and analytical tools as they are developed and refined. • Translate analytical findings into clear, actionable requirements for product and engineering teams. • Contribute to the design of fraud detection dashboards, alerting systems, and investigation workflows. • Support the development of automated detection tools and AI-driven fraud identification capabilities. • Serve as a subject matter expert on FWA and program integrity concepts to ensure detection logic is clinically and operationally sound. • Present analytical findings and insights to internal stakeholders and payer clients — including state Medicaid agencies and managed care organizations — in a clear and actionable format. • Support client discussions related to fraud detection strategy, program integrity reporting, and regulatory compliance obligations. • Advise payer and state partners on detection methodologies aligned with CMS program integrity expectations, Medicaid Integrity Program (MIP) standards, and applicable federal regulations. • Document analytical methodologies and investigation approaches to support compliance, audit readiness, and regulatory expectations.

• Structuring Strategic Dashboards: Develop dashboards in Power BI or Looker Studio to meet specific data processing needs; • Data Warehouse Management (BigQuery): Organize, clean, and model tables within BigQuery to ensure data is ready for consumption; • Ingestion and Processing of External Data: Build pipelines to import, clean, and validate data from various files (CSV, spreadsheets), ensuring integrity when integrating into the central database; • Exploratory Analysis: Investigate datasets to find patterns and insights that support the GovTech strategy; • Support in Defining Processes: Actively contribute to building the team’s data culture by helping define naming conventions, folder organization, and update rituals; • Digital mindset, curiosity about new technologies, and interest in understanding how Artificial Intelligence can transform processes, experiences, and outcomes.

• Conduct audits of client digital properties to ensure analytics, tagging, and data pipelines are correctly configured. • Design and implement analytics measurement frameworks aligned to client business, marketing, and product strategies. • Advise on and support event‑driven analytics, data layers, and tagging strategies across web, mobile, CRM, and marketing platforms. • Design and build dashboards, reports, and self‑service views using BI and visualization tools. • Troubleshoot data integrity, tracking, and pipeline issues across platforms and vendors. • Document implementations and lead enablement sessions to establish analytics best practices. • Lead stakeholder conversations to deeply understand business goals and translate them into measurement and insight requirements. • Analyze qualitative and quantitative data to inform strategic recommendations across UX, content, marketing, and product. • Develop testable hypotheses related to acquisition, engagement, conversion, retention, and experience quality. • Recommend experimentation strategies (A/B testing, personalization, SEO testing, CRO) tied to defined KPIs. • Connect insights across multiple data sources to tell a coherent, actionable story. • Identify analytics workflows that can be accelerated or augmented using AI (e.g., automated insights, anomaly detection, summarization, forecasting, and trend identification). • Leverage AI‑assisted tools to support: Data exploration and pattern discovery, Narrative generation and executive summaries, Experiment analysis and insight synthesis. • Partner with Product, Data Science, and Engineering teams to pilot AI‑enabled analytics capabilities within client engagements. • Contribute to Phase2’s evolving AI‑native delivery patterns and analytics playbooks. • Advise clients on data collection best practices in alignment with privacy, consent, and regulatory requirements. • Partner with teams to ensure data quality, taxonomy consistency, and measurement governance. • Help clients understand tradeoffs, limitations, and risks within their data and technology ecosystems. • Own analytics workstreams end-to-end, serving as a de-facto workstream lead responsible for insight quality, delivery timelines, and managing client expectations from discovery through recommendation. • Mentor junior analysts, oversee contractor work and support capability development within the Data & Insights team. • Contribute to sales and marketing efforts through thought leadership, presentations, webinars, and proposals. • Act as a trusted analytics advisor to clients and internal teams.

Description At ICF we make big things happen. Let’s work together to help disaster-impacted communities recover and rebuild for future resilience. ICF’s Disaster Management Division is seeking a Summer Intern to support the Tech & Standards (T&S) practice. The T&S team focuses on developing and implementing technology-enabled solutions that support disaster recovery programs, grants management systems, and operational tools used by state and local governments. The intern will support teams across the Technology & Analytics and emerging technology initiatives within the Technology & Standards Practice. This role will work alongside Data Solutions Specialists, Geospatial Solutions Architects, and field technology teams to support research, documentation, and development of tools that improve disaster recovery program delivery. This is a full-time, 10-week internship expected to start early June 2026. The work may be fully remote from anywhere in the United States. At this time, ICF is unable to provide relocation or housing assistance. Pay is expected to be $23 per hour. What You Will Do The Technology & Standards Summer Intern will support internal technology initiatives and client-facing solutions that enable disaster recovery programs. Responsibilities may include: - Support Data Solutions Specialists and analysts in researching and analyzing technology platforms used in disaster recovery and grants management programs - Assist with data analysis, reporting, and documentation related to operational tools and program systems - Support GIS and geospatial analysis teams with research, documentation, and mapping-related activities - Assist Immersive Technologies teams with documentation and research related to field technologies such as drones, damage inspection tools, and spatial data collection - Conduct market research on technology platforms, including low-code tools, workflow systems, data platforms, and analytics solutions - Assist with process mapping and workflow documentation to improve internal tools and program delivery processes - Support preparation of presentations, reports, and briefing materials used by internal leadership and project teams - Participate in team meetings and collaborate with cross-functional teams across the Technology & Standards Practice. Basic Qualifications - Completion of at least 30 credit hours of college coursework by the internship start date. - Candidate must be a US citizen or lawful permanent resident (Green Card holder), reside in the U.S., be authorized to work in the U.S., and all work must be performed in the U.S. per contract requirements. Preferred Qualifications - College coursework in Information Systems, Computer Science, Data Analytics, Data Science, Business, Commerce, management or other relevant discipline. - Strong analytical and research skills - Excellent written, verbal, and interpersonal communication skills - Ability to work independently while collaborating with a distributed team - Experience organizing and synthesizing information into reports or presentations - Proficiency in Microsoft Office applications (Word, Excel, PowerPoint, Outlook) - Familiarity with data analytics tools such as Excel, Power BI, Python, or similar technologies - Exposure to GIS tools such as ArcGIS or other mapping platforms - Interest in emerging field technologies, including drones, spatial data collection, or remote sensing tools - Interest in low-code platforms, automation tools, or workflow technologies Our work is done in a professional, collegial, and intellectual environment that allows individuals to pursue their passions, grow their careers, and generate meaningful results on behalf of our clients. Working at ICF ICF is a global advisory and technology services provider, but we’re not your typical consultants. We combine unmatched expertise with cutting-edge technology to help clients solve their most complex challenges, navigate change, and shape the future. We can only solve the world's toughest challenges by building a workplace that allows everyone to thrive. We are an equal opportunity employer. Together, our employees are empowered to share their expertise and collaborate with others to achieve personal and professional goals. For more information, please read our EEO policy. We will consider for employment qualified applicants with arrest and conviction records. Reasonable Accommodations are available, including, but not limited to, for disabled veterans, individuals with disabilities, and individuals with sincerely held religious beliefs, in all phases of the application and employment process. To request an accommodation, please email Candidateaccommodation@icf.com and we will be happy to assist. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.  Read more about workplace discrimination rights or our benefit offerings which are included in the Transparency in (Benefits) Coverage Act. Candidate AI Usage Policy At ICF, we are committed to ensuring a fair interview process for all candidates based on their own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) tools to generate or assist with responses during interviews (whether in-person or virtual) is not permitted. This policy is in place to maintain the integrity and authenticity of the interview process.  However, we understand that some candidates may require accommodation that involves the use of AI. If such an accommodation is needed, candidates are instructed to contact us in advance at candidateaccommodation@icf.com. We are dedicated to providing the necessary support to ensure that all candidates have an equal opportunity to succeed.   Pay Range - There are multiple factors that are considered in determining final pay for a position, including, but not limited to, relevant work experience, skills, certifications and competencies that align to the specified role, geographic location, education and certifications as well as contract provisions regarding labor categories that are specific to the position. The pay range for this position based on full-time employment is: $34,564.00 - $58,758.00 Nationwide Remote Office (US99)