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# AI & Data Analyst

- **Company:** Accenture
- **Location:** Washington, DC, United States
- **Salary:** $61,700.0 - $109,400.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Cloud Engineering, Computer Programming, Computer Engineering, R (Programming Language), Python (Programming Language), Machine Learning, Power BI, SQL Databases, Tableau (Software), Apache Spark, Information Technology, Data Analytics, Virtual Agents, Databricks
- **Published:** September 10, 2026
- **Apply:** https://www.dcjobsite.com/job.asp?id=3385158996&tx=HT8276THI&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* Bachelor's or Master's degree in a STEM or technical field such as Computer Science, Data Science, Statistics, Mathematics, Computer Engineering, Data Analytics with strong data science coursework, with graduation by August 31, 2027.
 * Strong academic track record (3.2+ cumulative GPA preferred) from a 4-year accredited institution.
 * Engineering background with foundational skills in data analysis, programming, and problem-solving.
 * U.S. citizenship required (due to federal contract requirements)
 * Ability to travel 25-50% preferred, but requirements vary by team and location., * Strong analytical and problem-solving mindset
 * Proficiency or interest in Python, R, Tableau, Power BI, SQL, and cloud engineering
 * Hands-on experience with Palantir Foundry and Databricks
 * Curiosity about AI, machine learning, and data-driven decision-making
 * Ability to communicate technical concepts clearly and work well in teams
 * Self-motivated learner who enjoys experimentation and developing new skills
 * Comfortable working in fast-paced, mission-focused environments
 * Active security clearance or eligibility to obtain one.

## Description

* Build and maintain data pipelines using Python, SQL, Spark, and cloud tools
 * Apply machine learning and AI techniques to support predictive analytics and automation
 * Use frameworks like Agentic AI to develop adaptive, intelligent systems
 * Visualize data and communicate insights using Tableau, Power BI, and custom dashboards
 * Collaborate with technical and non-technical teams to integrate AI into operational workflows
 * Explore emerging technologies and next-generation architectures to improve solution delivery


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