Data and AI Analyst

Accenture Federal ServicesArlington, VA
Hybrid

About The Position

At Accenture Federal Services, we help the U.S. federal government make the nation stronger, safer, and better for all. Our 13,000+ team members are united by a shared purpose: to harness the limitless potential of technology and human ingenuity for clients across defense, national security, public safety, civilian, and military health organizations. Join a collaborative and caring community where you belong, and where your growth is our priority. As an entry-level analyst, you’ll gain hands-on experience, earn industry certifications, and receive structured training that builds on your engineering mindset—applying creativity and analytical thinking to solve real-world challenges. We’re writing the playbook for how to be the most AI-enabled, client-focused, and people-first organization. Our reinventors are driving faster value for clients and shaping the future of government services. Are you ready to reinvent what’s possible? It’s your career, your life, and your choice. Let’s build something that matters—together.

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.

Benefits

  • Hands-on experience
  • Industry certifications
  • Structured training
  • Mentorship
  • Access to the latest technologies
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