Intern Python Data Analyst Jobs in Severna Park, MD

Location: Washington, DC
Clearance Requirement: Active TS/SCI required
Employment Type: Full-Time

Disruptive Solutions, a Service-Disabled Veteran-Owned Small Business (SDVOSB) delivering mission-focused cybersecurity and technology solutions for federal and commercial clients. We specialize in advanced cybersecurity operations, AI/ML integration, cloud modernization, data governance, and risk management. With a proven track record supporting agencies like the Department of Defense (DoD), Department of Homeland Security (DHS), Cybersecurity and Infrastructure Security Agency (CISA), and the Department of Treasury, we deliver innovative solutions that maximize efficiency and strengthen cyber resilience. At our core, we are dedicated partners committed to securing the mission with innovation, integrity, and measurable impact.

The Data Analyst supports a federal program by analyzing large, complex datasets, developing analytical models, applying statistical techniques, collaborating with stakeholders, and communicating findings in a secure environment.

• Analyze large and complex datasets to identify trends, patterns, relationships, and actionable insights.
  
• Perform data mapping, cleaning, structuring, and validation to ensure data quality and integrity.
  
• Conduct entity resolution across large datasets.
  
• Develop and implement analytical models and algorithms.
  
• Apply quantitative and qualitative analytical techniques, including statistical sampling, regression analysis, link analysis, geospatial analysis, social network analysis, and data mining.
  
• Conduct research and develop analytical conclusions based on financial or other large-scale datasets.
  
• Review incoming data mappings for accuracy and completeness.
  
• Develop repeatable analytical workflows and clearly document code, methodologies, and findings.
  
• Collaborate with technical teams, analysts, and business users to understand requirements and support mission objectives.
  
• Communicate project status, analytical findings, recommendations, and support needs to senior stakeholders.
  
• Translate complex analytical findings into clear conclusions, including the impact and relevance to the customer’s mission.
  

• Active TS/SCI clearance.
  
• Bachlors degree & 4+ years of professional experience.
• Experience working with large-scale data environments containing financial transactions or similarly complex and sensitive datasets.
  
• Strong experience with Python, Jupyter Notebook, R, NumPy, Pandas, and Scikit-learn.
  
• Experience with data cleaning, transformation, mapping, and validation.
  
• Experience performing entity resolution on large datasets.
  
• Strong foundation in statistical methods and advanced analytics.
  
• Ability to design and implement analytical models and algorithms.
  
• Experience analyzing large datasets and communicating findings to technical and non-technical stakeholders.
  
• Strong documentation and code-sharing practices.
  
• Ability to collaborate effectively with business users and senior leadership.
  

• Experience analyzing financial transaction data, including wire transfers or other complex financial datasets.
  
• Familiarity with international financial messaging and payment systems such as SWIFT or CHIPS.
  
• Experience working with regulatory, financial intelligence, law enforcement, government, or other sensitive datasets.
  
• Experience combining multiple data sources, including open-source information, web-derived data, financial data, government datasets, and classified data.
  
• Experience developing documented, repeatable analytical processes and workflows.
  
• Experience working within secure or classified analytical environments.
  

Disruptive Solutions, LLC is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender identity, or any other characteristic protected by law.