We are a world-class team of professionals who deliver next generation technology and products in robotic and autonomous platforms ground soldier and maritime systems in 50 locations world-wide. Much of our work contributes to innovative research in the fields of sensor science signal processing data fusion artificial intelligence (AI) machine learning (ML) and augmented reality (AR).

QinetiQ USs dedicated experts in defense aerospace security and related fields all work together to explore new ways of protecting the American Warfighter Security Forces and Allies. Being a part of QinetiQ US means being central to the safety and security of the world around us. Partnering with our customers we help save lives; reduce risks to society; and maintain the global infrastructure on which we all depend.

Why Join QinetiQ US

If you have the courage to take on a wide variety of complex challenges then you will experience a unique working environment where innovative teams blend different perspectives disciplines and technologies to discover new ways of solving complex our diverse and inclusive environment you can be authentic feel valued be respected and realize your full potential. QinetiQ US will support you with workplace flexibility a commitment to the health and well-being of you and your family and provide opportunities to work with a purpose. We are committed to supporting your success in both your professional and personal lives.

QinetiQ US seeks an enthusiastic Junior Data Scientist to join a federal law enforcement agency client. This entry-level role provides an excellent opportunity to begin a career in data science while supporting the agency with data analysis and insights.

Working closely with senior team members you will learn to utilize platforms such as Databricks Qlik Tableau Oracle ServiceNow Microsoft Power Suite Python programming data visualization and SQL to support data analysis for the Law Enforcement Lifecycle. This role offers extensive mentorship and training opportunities while contributing to mission-critical federal operations.

Data Analysis & Learning

• Learn to apply basic mathematical methods to analyze datasets using R or Python under senior guidance
• Support data preparation cleaning and validation activities for agency systems
• Assist with basic statistical analysis and data exploration tasks
• Learn fundamental concepts of predictive modeling and discrete event simulation (DES)
• Participate in training on multiple correspondence analysis (MCA) principal component analysis (PCA) and association rule mining
• Assist in the professional and technical development of fellow staff

Technology Platform Exposure

• Gain hands-on experience with platforms including: Databricks Qlik Tableau Oracle ServiceNow Microsoft Power Suite Python and SQL
• Learn to perform basic queries and data extraction using SQL MS Access and MS Excel
• Support senior team members with data processing and analysis tasks
• Participate in training on High-Performance Computing (HPC) environments

Data Processing Support

• Assist with basic data pipeline activities and data integration tasks
• Learn to work with federal government data from various sources under supervision
• Support data quality checks and validation processes
• Help with extract transform load (ETL) operations for law enforcement data

Documentation & Reporting

• Learn to create basic reports and visualizations using tools like RMarkdown or Jupyter Notebook
• Assist in preparing data summaries and presentations for team review
• Support documentation of analytical processes and findings
• Practice communicating technical concepts to various audiences

Administrative Support

• Participate in team meetings and training sessions
• Assist with project documentation and tracking
• Support ad-hoc data requests and analysis tasks
• Help maintain organized data files and project materials

Professional Development

• Participate in mentorship programs with senior data scientists
• Attend training sessions on federal data requirements and security protocols
• Learn about agency systems and law enforcement operations
• Develop understanding of government data analysis standards and practices

Education & Experience

• Bachelors degree in Data Science Computer Science Statistics Applied Mathematics Engineering or related technical field
• 0-2 years of relevant experience (new graduates welcome)
• Strong academic background in mathematics statistics or computer science

Desired Technical Skills

• Basic proficiency in R or Python programming
• Fundamental understanding of statistics and data analysis concepts
• Familiarity with SQL and database concepts
• Basic experience with data visualization tools
• Understanding of Excel and basic data manipulation
• Strong analytical and problem-solving skills

Security Requirements

• Ability to obtain and maintain appropriate federal security clearance.
• Background investigation required.
• Must be U.S. citizen.

Educational Background

• Coursework or projects involving data analysis machine learning or statistics
• Experience with programming languages beyond basic requirements
• Academic projects using real-world datasets
• Understanding of research methodologies

Technical Exposure

• Familiarity with any business intelligence tools (Tableau Power BI etc.)
• Basic understanding of cloud computing platforms
• Exposure to version control systems like GitHub
• Understanding of data privacy and security concepts

Additional Experience

• Internships or co-op experience in data analysis or related fields
• Academic research experience involving data
• Participation in data science competitions or projects
• Volunteer work involving data analysis

Accessibility/Accommodation:

If because of a medical condition or disability you need a reasonable accommodation for any part of the employment process please send an e-mail to or call Opt. 4 and let us know the nature of your request and contact information.

QinetiQ US is an Equal Opportunity/Affirmative Action employer. All Qualified Applicants will receive equal consideration for employment without regard to race age color religion creed sex sexual orientation gender identity national origin disability or protected Veteran status.