Bias Detection Analyst

Artificial Intelligence (AI) Risk & Performance Evaluation Employee

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Overview

As a Bias Detection Analyst with the Department of National Defence, you will play a critical role in ensuring that artificial intelligence systems used across Defence operations are fair, trustworthy, and free from harmful bias. You will analyze AI models, algorithms, and datasets to identify potential sources of bias that could affect decision-making, fairness, and operational effectiveness. Your work directly supports DND's commitment to responsible AI use and helps protect the interests of Canadian Armed Forces members and the public. In this role, you will conduct technical assessments of AI systems, document bias-related risks, and recommend mitigation strategies to development teams and stakeholders. You will collaborate with data scientists, software engineers, and policy experts to understand how bias can emerge in training data, model design, and implementation contexts. Your analysis will inform governance decisions, help shape AI procurement standards, and contribute to the development of best practices across the Department. You will work in a modern, technology-focused environment within DND's AI Risk & Performance Evaluation team. This role offers the opportunity to work on meaningful projects that directly impact national defence capabilities while contributing to broader conversations about responsible artificial intelligence in 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 a Bias Detection Analyst, you should have a strong foundation in data analysis, statistics, and machine learning concepts. A bachelor's degree in computer science, data science, mathematics, statistics, engineering, or a related field is typically required. Some positions may accept candidates with equivalent professional experience demonstrating technical competency. Key knowledge areas include: machine learning algorithms and model evaluation, data analysis and visualization, statistical methods, programming languages (Python, R, or similar), and familiarity with AI/ML frameworks and tools. Understanding of bias, fairness, and ethics in AI is essential. Many candidates benefit from coursework or certifications in AI ethics, responsible AI, or fairness in machine learning. The Government of Canada offers professional development opportunities including training in policy frameworks, security clearance-related courses, and specialized AI/ML certifications. You may also access learning opportunities through partnerships with academic institutions and professional organizations. DND supports ongoing skill development to keep pace with rapid advances in AI technology and best practices in bias detection methodologies.

Entry Plans

There are several pathways to enter this career with the Government of Canada: **Public Service Commission (PSC) Competitions**: DND regularly posts positions through open competitions advertised on the Government of Canada's Job Bank and internal systems. These competitions are open to Canadian citizens and permanent residents. You will need to meet the education and experience requirements and successfully complete the selection process, which typically includes an application review, written assessment, and interview. **Indeterminate and Term Employment**: Positions may be offered on an indeterminate (permanent) or term basis depending on operational needs and funding. Term positions can provide entry opportunities and potential paths to permanent status. **Student and Graduate Programs**: The Public Service Commission offers programs such as the Federal Student Work Experience Program (FSWEP) and Post-Secondary Recruitment Initiative (PSRI) for recent graduates. These programs provide pathways into the public service while you gain relevant experience. **Lateral Moves**: If you are already a Government of Canada employee in a related field (data analysis, software development, policy, or IT), you may be able to move laterally into this role through internal competition or staffing processes. **Indigenous Recruitment**: DND is committed to increasing Indigenous representation in the federal workforce and may offer targeted recruitment and development initiatives.

Part-Time Options

Part-time and flexible work arrangements are generally available for Bias Detection Analyst positions, subject to operational requirements and managerial approval. Many DND civilian positions support flexible scheduling options that allow you to balance work and personal commitments. Remote work opportunities have expanded significantly across the public service. Depending on the specific team and security classification of projects, you may be able to work from home for a portion of your week or full-time. Some highly classified work may require on-site presence at DND facilities for security reasons. The specific arrangements will be discussed during the hiring process and formalized in your employment agreement. Job-sharing and compressed work weeks may also be available in some cases. We encourage you to discuss flexible work preferences during your application and interview process, as DND works to accommodate arrangements that meet both operational needs and employee wellbeing. Availability of these options can vary by team, project, and security requirements.