Job/Position DescriptionThe Fraud Analytics unit within the Data Reviews Division of the Office of Inspector General (OIG) is responsible for performing innovative and advanced data analytics to detect fraud, waste and abuse (FWA) in state health and human services programs such as Medicaid, the Childrenand#146;s Health Insurance Program (CHIP), Supplemental Nutrition Assistance Program (SNAP) and Temporary Assistance for Needy Families (TANF) by supporting data-driven investigations, reviews, audits, and inspections. Fraud Analytics seeks motivated and talented Data Science Interns (Data Analyst I) to contribute to the unitand#146;s efforts with developing and implementing algorithms, artificial intelligence/machine learning (AI/ML) models, and predictive analytics in order to generate insights and actionable leads to detect and address FWA risks. This internship offers a valuable opportunity to work on real-world problems using AI/ML techniques and to contribute to the OIGand#146;s vision of promoting the health and safety of Texans by protecting the integrity of state health and human services delivery. This position will report to the Deputy Inspector General of Fraud Analytics and will work closely with Fraud Analytics data scientists and analysts.The Data Science Interns will gain valuable experience with complex healthcare data and will explore large-language models (LLMs) and retrieval augmentation generation (RAG). The Data Science Interns will be responsible for performing advanced level programming to clean, prepare, and query large, complex health and human services related datasets and to research and develop algorithms and models that identify data trends, patterns, and anomalies. The Data Science Interns will gain experience writing model documentation and methodology documents; communicating data science findings through data visualizations and presentations; and testing and evaluating new tools, methods, and techniques. * This position can telework 100% from any OIG location within Texas consistent with HHS telework policies. *Essential Job FunctionsAttends work on a regular and predictable schedule in accordance with agency leave policy and performs duties as assigned:1. Researches, designs, implements, and deploys production AI/ML models and predictive analytics to identify risk and detect potential FWA in state health and human services programs, with a primary focus on Medicaid. Plans and conducts data analytics on large, complex datasets, using Python and SQL. Interprets and explains identified data trends, patterns, and anomalies. Develops, implements, and assesses the validity of existing and emerging AI/ML, analytical and statistical tools, methods, and techniques. Applies advanced analytical and statistical methods and techniques to known and new data sources. (50%) 2. Effectively communicates data analytics findings and related recommendations to technical and non-technical stakeholders both verbally and in writing, including written model documentation, methodology documents and detailed reporting of findings through data packages, data visualizations, and presentations. (30%)3. Engages in collaboration and communication across internal OIG units and with external entities, including but not limited to: OIG program area customers, the OIG executive team, contractors/vendors, and team members. (20%)Registrations, Licensure Requirements or CertificationsNone. Knowledge Skills Abilities1. Knowledge of AI/ML (including supervised and unsupervised learn https://jobshrportal.hhsc.state.tx.us/ENG/CareerPortal/job_profile.cfm?szOrderID=604106 Copy the URL in the preceding sentence to an Internet Explorer browser to apply to the job directly through the Texas Health and Human Services Career Portal.