AI and Data Consultant - Public Sector

About the role

Guidehouse delivers end‑to‑end services, including designing, implementing, and deploying AI solutions and robust data platforms as well as providing advanced analytics and insights. As a Consultant on the AI and Data team, you will work on high‑value initiatives for Public Sector client segments such as Defense and Security, Communities, Energy and Infrastructure, Financial Services, and Health. You will support project teams on client engagements (on‑site and off‑site) and internal projects, contributing to data‑driven solutions that matter.

Responsibilities

• Client and project management.
• Data and information analysis.
• Solution implementation and generation of project deliverables.
• Support the development and creation of quality deliverables for essential workstreams.
• Gather and analyze data, identify gaps and trends.
• Make recommendations related to baseline performance, structure, best practices, and benchmarks.

Requirements

• Must be able to obtain and maintain a Federal “Public Trust” clearance (candidates with an active Public Trust or Suitability are preferred).
• Minimum experience: 0 years.
• Master’s degree.
• Working knowledge of programming languages such as Python, R, and SQL.
• Foundational experience with Python, SQL, and data analysis through coursework, research, internships, or personal projects.
• Ability to work collaboratively with other data scientists and adjacent roles.
• Experience handling structured and unstructured data, performing data cleaning and transformation, and communicating findings effectively.
• Strong problem‑solving skills and willingness to learn new technologies and methodologies.
• Ability to adhere to on‑site work schedules in the Atlanta metro area as directed.
• Ability to work in the United States without sponsorship now or in the future (students on F‑1 or J‑1 visas are excluded).

Preferred qualifications

• Advanced degree in a quantitative or technical field (e.g., Data Analytics, Data Science, Computer Science, Statistics, Mathematics, Information Systems, Engineering, Public Health Informatics, or related discipline).
• Experience with cloud‑based data environments, data visualization tools (Power BI/Tableau), or data engineering concepts.
• Internship, research, capstone, or project experience applying data science, analytics, or AI techniques to real‑world problems.
• Experience using Git, Databricks, Azure, AWS, or similar platforms.
• Experience performing data visualization using Power BI or Tableau.
• Strong communication and presentation skills for both technical and non‑technical audiences.
• Ability to write technical process flows, diagrams, and model documentation.

Benefits

• Medical, Rx, Dental & Vision Insurance.
• Personal and Family Sick Time & Company Paid Holidays.
• Parental Leave.
• 401(k) Retirement Plan.
• Group Term Life and Travel Assistance.
• Voluntary Life and AD&D Insurance.
• Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts.
• Transit and Parking Commuter Benefits.
• Short‑Term & Long‑Term Disability.
• Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities.
• Employee Referral Program.
• Corporate Sponsored Events & Community Outreach.
• Care.com annual membership.
• Employee Assistance Program.
• Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance, ID‑theft protection, etc.).
• Potential eligibility for a discretionary variable incentive bonus.