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# Data Scientist- Associate

- **Company:** Kpmg LLP
- **Location:** Washington, DC, United States
- **Contract:** Internship / Graduate position
- **Skills:** Artificial Intelligence, Systems Engineering, Microsoft Azure, Revision Control Systems, Machine Learning, Systems Development Life Cycle, Search Technologies, Software Engineering, Large Language Models, Prompt Engineering, Microsoft Fabric, Information Technology, Data Management, Databricks, Microservices
- **Published:** August 8, 2026
- **Apply:** https://diversityjobs.com/main/sendform/8/8/28176/1/17862744?backUrl=%2Fcareer%2F17862744%2FData-Scientist-Associate-D-C-Washington

## About the Role

* Minimum one year of experience or strong internship/academic projects in data science, machine learning, or software engineering
 * Master's degree from an accredited college or university in Computer Science, Data Science, Statistics, or a related quantitative discipline is preferred. Minimum of a Bachelor's degree is required.
 * Foundational knowledge of machine learning concepts and Python for data analysis; familiarity with LLMs and frameworks likeLangChainis preferred
 * Exposure to cloud platforms (preferably Azure) and data platforms like Databricks or Microsoft Fabric
 * Familiarity with the principles of the software development lifecycle (SDLC) and version control tools likeADO andGithub
 * Strong analytical and problem-solving skills, with an eagerness to learn and a collaborative, team-oriented mindset (200TEC)
 * Must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future. KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)

## Description

* Developand implement core components of generative AI solutions, including RAG pipelines and context engineering features, within our established architecture; driving quality into prompt engineering and optimization for business use cases
 * Support senior team members in the implementation of RAG pipelines and context engineering systems by building and testing specific modules
 * Collaborate with AI engineers and other data scientists to integrate model outputs into the broader microservice architecture
 * Focus on learning and applying our technology stack, includingLangChain/LangGraph, Azure AI Search, and our AKS-based infrastructure
 * Drive product advancement by diligently executing experiments, documenting results, and contributing to our culture of continuous improvement
 * Participate activelyin agile ceremonies and contribute to the team's collective knowledge of generative AI, audit methodologies, and best practices
 * Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment


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