Accenture Federal Services→
Data and AI Analyst at Accenture Federal Services in Arlington, VA
Entry LevelOn-siteFull-timeArlington, VA$62k–$109k/yr
Skills
data engineeringmachine learningai integrationpythonsqlcloud platformsdata visualization
Job Description
Summary: Accenture Federal Services is dedicated to helping the US federal government enhance national strength and safety through technology. As a Data and AI Analyst, you will support federal agencies by leveraging data and AI to improve decision-making and operational efficiency.
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
Required Qualifications:
- 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)
Preferred Qualifications:
- Ability to travel 25-50% preferred, but requirements vary by team and location
- 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
Required Skills: Data engineering, Machine learning, AI integration
Important Skills: Python, SQL, Cloud platforms, Data visualization
Benefits: A collaborative and caring community where you feel like you belong and are empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more, Structured training that builds on your engineering mindset, Mentorship, Certifications, Access to the latest technologies through the Analyst Development Program (ADP), Reasonable accommodation when needed
Benefits
A collaborative and caring community where you feel like you belong and are empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more
Structured training that builds on your engineering mindset
Mentorship
Certifications
Access to the latest technologies through the Analyst Development Program (ADP)
Reasonable accommodation when needed