As an Algorithm Audit Analyst, you will play a critical role in ensuring that artificial intelligence systems used across the Department of National Defence operate safely, fairly, and in compliance with federal regulations and ethical standards. You will conduct comprehensive audits of AI algorithms to identify potential risks, biases, and performance issues that could impact defence operations and decision-making. This position requires you to combine technical expertise with analytical thinking to evaluate complex algorithmic systems and provide actionable recommendations to stakeholders.
Your day-to-day responsibilities will include reviewing AI model documentation and training data, testing algorithms for bias and fairness issues, assessing performance metrics against established benchmarks, and documenting audit findings in clear, detailed reports. You will collaborate with AI developers, data scientists, and policy teams to understand the context and intended use of algorithms, then evaluate whether they meet organizational standards for transparency, accountability, and compliance. You will also stay current with evolving AI governance frameworks and contribute to the development of audit standards and best practices within the department.
You will work in a dynamic environment where emerging technologies meet defence priorities. Your work directly supports DND's commitment to responsible AI adoption and helps protect the integrity of critical defence systems. This role offers opportunities to influence policy, mentor junior analysts, and establish yourself as a trusted expert in AI risk management within the federal government.
Key Responsibilities
Contribute to artificial intelligence (ai) risk & performance evaluation projects and initiatives, Develop, test, and deploy AI/ML models and solutions, Analyze data to support evidence-based decision-making, Document technical approaches and ensure responsible AI practices
Required Skills
Python/R programming, Machine learning frameworks, Data analysis, Statistical modelling, Critical thinking, Technical proficiency, Attention to detail, Collaboration, Continuous learning
Typical Education
Post-secondary education or equivalent experience relevant to the position
Training
To succeed as an Algorithm Audit Analyst, you should have a bachelor's degree in computer science, data science, mathematics, engineering, or a related field. Strong foundational knowledge in machine learning, statistics, and algorithm design is essential. Many successful candidates also hold certifications in AI ethics, data governance, or quality assurance.
The Government of Canada provides ongoing professional development opportunities, including access to specialized training in AI governance, fairness and bias detection frameworks, and federal compliance requirements. You may pursue recognized certifications such as the Certified Data Privacy Professional (CDPP), AI ethics credentials, or industry-recognized machine learning certifications. Participation in interdepartmental working groups on AI risk management and attendance at conferences on responsible AI are encouraged and supported.
As you advance in this career, you may pursue additional credentials in AI policy, risk management, or advanced data science techniques. The department also supports employees pursuing relevant graduate degrees through tuition support programs.
Entry Plans
There are several pathways to becoming an Algorithm Audit Analyst in the DND civilian workforce. Most positions are filled through open public service competitions advertised on the Government of Canada Job Bank. These competitions typically require a written assessment and interview to evaluate your technical knowledge, analytical skills, and understanding of audit principles.
You may also enter through the Federal Student Work Experience Program (FSWEP) or the Post-Secondary Recruitment Campaign (PSRC) if you are a recent graduate. These programs provide valuable experience and often lead to indeterminate positions. Lateral movement is also common—if you currently work in the public service in roles such as Data Analyst, IT Auditor, or Quality Assurance Specialist, you may be able to transition into this position through informal recruitment or priority hiring processes.
The department also participates in targeted recruitment for underrepresented groups in technology roles and may offer additional entry pathways through equity initiatives. Networking with current DND employees and informational interviews can provide insight into upcoming opportunities and help you better prepare for competitions.
Part-Time Options
Part-time and flexible work arrangements are available for Algorithm Audit Analyst positions, though availability may vary depending on operational needs and specific team requirements. Many DND civilian positions support flexible work schedules, compressed work weeks, and telework options. Remote work is increasingly available for this role, particularly for tasks such as document review, data analysis, and report writing.
If you are interested in part-time or flexible arrangements, discuss your preferences during the recruitment process or with your manager once hired. The department recognizes the importance of work-life balance and supports various arrangements that meet both employee needs and operational requirements. Specific flexibility options depend on team structure, project demands, and collective agreement provisions. Employees are encouraged to work with their managers to establish arrangements that work for both parties.
Related Careers
No related military careers on file for this position.
