Data and AI Analyst

Data and AI Analyst The Opportunity

At AFS, our Data & AI Analysts help federal agencies unlock the power of data and artificial intelligence to drive smarter decisions, faster operations, and better outcomes for the nation. You’ll begin your journey with immersive training in data engineering, analytics, and AI integration—building the skills to solve complex challenges across defense, national security, and civilian sectors.

In this role, you’ll apply your engineering mindset to design and implement data-driven solutions using modern tools, cloud platforms, and AI frameworks. You’ll work side‑by‑side with teammates to experiment with emerging technologies, adopt next‑generation IT, and deliver mission‑critical insights that move government forward.

• 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.

• AI engineering and model deployment using platforms like Tensor Flow and PyTorch.
• Data architecture, cloud analytics, and scalable data processing on AWS, Azure, or GCP.
• Responsible AI practices, data governance, and ethical use of machine learning in federal environments.
• Agile delivery, Dev Sec Ops , and continuous learning through certifications and mentorship.

• 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.

• 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.

Our people‑first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.

• If this position is listed as remote or hybrid, you’ll periodically work from an Accenture Federal or client site facility.
• If this position is listed as onsite, you’ll work with colleagues and clients in person, as needed for a specific role.

This is more than a job—it’s a launchpad for a technical career in federal innovation. Whether you aspire to be a cloud engineer, AI integration specialist, or software architect, we’ll support your growth with mentorship, certifications, and access to the latest technologies through the Analyst Development Program (ADP).

As required by local law, Accenture Federal Services provides reasonable ranges of compensation for hired roles based on labor costs in the states of California, Colorado, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Virginia, Washington, and the District of Columbia, and the city of Cleveland. The base pay range for this position in these locations is shown below.

Compensation for roles at Accenture Federal Services varies depending on a wide array of factors, including…