Data Science Analysts in the Department of National Defence apply statistical methods, programming, and analytical techniques to transform complex defence and security data into actionable insights. You will work with large datasets to identify patterns, develop predictive models, and support evidence-based decision-making across the organization. This role bridges technical expertise and strategic impact, enabling DND to better understand operational challenges, optimize resource allocation, and enhance defence capabilities.
In this position, you will design and execute data analysis projects, develop analytical frameworks, and communicate findings to stakeholders at all levels. Your work supports critical areas including resource management, personnel analytics, operational planning, and cyber security analysis. You will collaborate with subject matter experts, IT professionals, and senior leaders to ensure analytical solutions address real organizational needs and drive measurable outcomes.
Data Science Analysts typically work in office settings, though some roles allow flexible arrangements. You will balance independent analytical work with collaborative team projects, presentations, and consultation with clients across DND. The role offers exposure to diverse defence challenges and opportunities to develop expertise in specialized analytical domains.
Key Responsibilities
Perform data management activities per GC IM policies, Manage information assets through their lifecycle, Ensure compliance with access to information and privacy requirements, Support information governance and standards
Required Skills
Records management, ATIP legislation, Information governance, Classification systems, Digital literacy, Technical proficiency, Attention to detail, Collaboration, Continuous learning
Typical Education
Post-secondary education or equivalent experience relevant to the position
Training
Minimum qualifications typically include a bachelor's degree in data science, statistics, mathematics, computer science, or a related field. Some positions may accept equivalent experience in data analysis or related work. You should have strong proficiency in programming languages commonly used in data science, such as Python, R, or SQL, and familiarity with statistical analysis and data visualization tools.
Government of Canada positions often value certifications in relevant areas such as advanced statistics, machine learning, cloud platforms (AWS, Azure, Google Cloud), or specialized data management tools. The Public Service encourages ongoing professional development through training programs, workshops, and certifications offered by Statistics Canada, the Canadian Statistical Association, and professional technology organizations.
Once hired, you may pursue advanced certifications such as a Graduate Certificate in Data Science or specialized credentials in emerging areas like artificial intelligence and machine learning. DND supports employee development through tuition assistance programs and internal training initiatives aligned with departmental priorities and technological advancement.
Entry Plans
You can enter this career through several pathways within the federal Public Service. The primary route is through competitive recruitment processes posted on the Government of Canada's Job Bank and internal talent platforms. These competitions are typically open to Canadian citizens and may target different experience levels, from recent graduates to experienced professionals.
The Federal Student Work Experience Program (FSWEP) and the Post-Secondary Recruitment Campaign (PSRC) offer pathways for students and recent graduates to gain experience and move into permanent positions. Some competitions use talent pools that remain active for multiple hiring needs across the department.
If you are already a federal public servant, you can pursue internal mobility opportunities through lateral transfers or promotions into Data Science Analyst positions. DND may also accept applications from the broader public service through interdepartmental staffing initiatives. Networking with recruitment teams and staying informed about opportunities through departmental career pages and LinkedIn will help you identify openings aligned with your profile.
Part-Time Options
Part-time work opportunities for Data Science Analysts in DND vary by operational needs and the specific project or branch. Some analytical roles offer flexibility in hours and location, particularly for project-based work that has defined deliverables. Remote work arrangements have become more common in data science and analysis roles, allowing analysts to work from approved locations while maintaining access to secure systems through appropriate protocols.
Flexible work arrangements, including compressed work weeks or telework options, may be available depending on the position, classification level, and departmental requirements. Roles focused on strategic analysis or research-oriented projects are more likely to support flexibility than those requiring daily coordination with operational teams or classified environment access.
If part-time or flexible work is important to you, discuss specific arrangements during the recruitment process or with your hiring manager early in your employment. DND is committed to supporting work-life balance within operational constraints, and your needs may be accommodated through formalized agreements that align with departmental priorities and security requirements.
Related Careers
No related military careers on file for this position.
