Data and AI Analyst

Accenture Federal Services•Arlington, VA

9h•$61,700 - $109,400•Hybrid

About The Position

At Accenture Federal Services (AFS), the Data and AI Analyst role is designed to help federal agencies leverage data and artificial intelligence for improved decision-making, operational efficiency, and enhanced outcomes. The position begins with intensive training in data engineering, analytics, and AI integration, equipping individuals to tackle complex challenges within defense, national security, and civilian sectors. Analysts will utilize their engineering background to develop and deploy data-driven solutions using contemporary tools, cloud platforms, and AI frameworks. The role involves collaborating with team members to explore new technologies, adopt advanced IT practices, and deliver critical insights that advance government missions.

Requirements

Bachelor’s or Master’s degree in a STEM or adjacent field (e.g., Computer Science, Statistics, Mathematics, Data Science), with graduation by August 31, 2026.
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.

Nice To Haves

Strong academic track record (3.0 cumulative GPA required, 3.2 cumulative GPA preferred) from a 4-year accredited institution.
Hands-on experience with Palantir Foundry and Databricks.
Experience with multiple programming languages, modern frameworks, cloud platforms, databases, and/or AI technologies.
Familiarity with data analysis and AI tools such as Python, R, SQL, Postgres, Tableau, Power BI, or machine learning platforms.
Ability to work collaboratively in cross-functional teams and communicate technical concepts clearly.
Active security clearance or eligibility to obtain one.

Responsibilities

Design, build, and maintain data pipelines and analytics platforms using tools like Python, SQL, Spark, and cloud-native services.
Apply machine learning and AI techniques to extract insights, automate processes, and support predictive decision-making.
Leverage frameworks such as Agentic AI to develop intelligent systems that adapt and respond to dynamic mission needs.
Visualize data and communicate findings using tools like Tableau, Power BI, and custom dashboards.
Collaborate with cross-functional teams to integrate AI models into operational workflows and ensure responsible, secure use of data.
Experiment with emerging technologies and next-gen architectures to accelerate solution delivery and scale impact.