détails d'emploi
Our client, a premier Canadian leader in the property and casualty insurance sector, is expanding its cutting-edge innovation lab and seeking a Senior AI Engineering Business Analyst. In this dynamic role, you will act as a pivotal bridge between research, software engineering, and business strategy. You will lead requirements gathering, collaborate with data science and architecture teams, and drive the seamless delivery of advanced artificial intelligence and machine learning solutions aimed at addressing complex real-world challenges (such as climate risk and predictive modeling).
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Advantages
High-Impact Work: Contribute directly to advanced AI and ML initiatives within a forward-thinking innovation lab.
Competitive Rate: Offer target rate of $105.00/hr on a contract basis.
Hybrid Flexibility: Work out of modern office spaces located in Montreal or Toronto.
Long-Term Mandate: 12-month initial contract (August 2026 – August 2027) with high potential for renewal.
Collaborative Culture: Work alongside elite Data Scientists, Cloud Engineers, and Product Leaders who value speed, quality, and continuous learning.
Responsibilities
Requirement Engineering: Collaborate with Data Scientists, Architects, and business stakeholders to define, refine, and document functional and non-functional requirements for AI solutions.
Agile Facilitation: Partner with Product Owners and Scrum Masters to draft detailed user stories, conduct backlog grooming, prioritize feature delivery, and size development efforts in Jira.
Solution Workshops: Lead cross-functional alignment sessions to map technical capabilities to business priorities and establish robust solution architectures.
Delivery & Integration Support: Work closely with software developers and DevOps teams through the build, test, and release phases; conduct impact assessments and provide status updates to executive leadership.
Documentation & Communication: Produce clear business cases, architectural context docs, and process models while translating complex algorithms into actionable insights for non-technical partners.
Qualifications
Education & Experience: Bachelor’s degree in Computer Science, Software Engineering, Mathematics, or a related field (or equivalent practical experience), combined with 6+ years of IT Business Analysis experience.
Agile Proficiency: 3+ years actively working within Agile/Scrum delivery environments.
AI/ML Exposure: Direct experience working on Machine Learning or Artificial Intelligence projects.
Technical Familiarity: Hands-on exposure to Python, Apache Spark, and cloud environments (specifically AWS and Amazon SageMaker).
Mindset & Soft Skills: Proactive communicator, comfortable navigating ambiguity, fast learner, and passionate about turning concepts into production-grade solutions.
Certifications (Asset): CBAP, CCBA, or PMI-PBA certifications are considered strong assets.
Our client operates in Canada. The company takes all reasonable steps to limit the number of positions in Quebec that require knowledge of a language other than French, and only requires it when necessary and its existing bilingual employees are unable to perform these duties. Based on an assessment conducted by our client, it has been determined that this position requires candidates to be fluent in English (both spoken and written). In particular, this position will require the employee to interact with centralized internal departments (e.g., Operations / HR / Finance / Legal / Contracts / Sales) that support the organization in Canada and that do not speak French.
Summary
LocationMontreal, QC or Toronto, ON (Hybrid)
Duration12 Months (Initial contract, extension potential)
Position TypeContract
Start DateAugust 2026
Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.
Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to accessibility@randstad.ca to ensure their ability to fully participate in the interview process.
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Our client, a premier Canadian leader in the property and casualty insurance sector, is expanding its cutting-edge innovation lab and seeking a Senior AI Engineering Business Analyst. In this dynamic role, you will act as a pivotal bridge between research, software engineering, and business strategy. You will lead requirements gathering, collaborate with data science and architecture teams, and drive the seamless delivery of advanced artificial intelligence and machine learning solutions aimed at addressing complex real-world challenges (such as climate risk and predictive modeling).
Advantages
High-Impact Work: Contribute directly to advanced AI and ML initiatives within a forward-thinking innovation lab.
Competitive Rate: Offer target rate of $105.00/hr on a contract basis.
Hybrid Flexibility: Work out of modern office spaces located in Montreal or Toronto.
Long-Term Mandate: 12-month initial contract (August 2026 – August 2027) with high potential for renewal.
Collaborative Culture: Work alongside elite Data Scientists, Cloud Engineers, and Product Leaders who value speed, quality, and continuous learning.
Responsibilities
...
Requirement Engineering: Collaborate with Data Scientists, Architects, and business stakeholders to define, refine, and document functional and non-functional requirements for AI solutions.
Agile Facilitation: Partner with Product Owners and Scrum Masters to draft detailed user stories, conduct backlog grooming, prioritize feature delivery, and size development efforts in Jira.
Solution Workshops: Lead cross-functional alignment sessions to map technical capabilities to business priorities and establish robust solution architectures.
Delivery & Integration Support: Work closely with software developers and DevOps teams through the build, test, and release phases; conduct impact assessments and provide status updates to executive leadership.
Documentation & Communication: Produce clear business cases, architectural context docs, and process models while translating complex algorithms into actionable insights for non-technical partners.
Qualifications
Education & Experience: Bachelor’s degree in Computer Science, Software Engineering, Mathematics, or a related field (or equivalent practical experience), combined with 6+ years of IT Business Analysis experience.
Agile Proficiency: 3+ years actively working within Agile/Scrum delivery environments.
AI/ML Exposure: Direct experience working on Machine Learning or Artificial Intelligence projects.
Technical Familiarity: Hands-on exposure to Python, Apache Spark, and cloud environments (specifically AWS and Amazon SageMaker).
Mindset & Soft Skills: Proactive communicator, comfortable navigating ambiguity, fast learner, and passionate about turning concepts into production-grade solutions.
Certifications (Asset): CBAP, CCBA, or PMI-PBA certifications are considered strong assets.
Our client operates in Canada. The company takes all reasonable steps to limit the number of positions in Quebec that require knowledge of a language other than French, and only requires it when necessary and its existing bilingual employees are unable to perform these duties. Based on an assessment conducted by our client, it has been determined that this position requires candidates to be fluent in English (both spoken and written). In particular, this position will require the employee to interact with centralized internal departments (e.g., Operations / HR / Finance / Legal / Contracts / Sales) that support the organization in Canada and that do not speak French.
Summary
LocationMontreal, QC or Toronto, ON (Hybrid)
Duration12 Months (Initial contract, extension potential)
Position TypeContract
Start DateAugust 2026
Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.
Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to accessibility@randstad.ca to ensure their ability to fully participate in the interview process.
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