Immediate Hiring | Data & AI Business Analyst | Toronto, ON (Hybrid)We are seeking a Data & AI Business Analyst to support an internal data science and machine learning development team within a large financial services organization.This role is ideal for a technically minded Business Analyst who has worked closely with data scientists, machine learning teams, or AI-focused programs and is comfortable translating complex technical concepts into explicit, structured documentation for both technical and business audiences.A major focus of the role will be improving how the team captures, organizes, and leverages documentation throughout the machine learning model development lifecycle. The successful candidate will work closely with technical team members to document model development activities, analyses, insights, validation requirements, and key project information while helping establish a centralized knowledge repository for the team.This is not a traditional requirements-heavy or product BA role. The ideal candidate will have strong documentation and communication skills combined with enough technical knowledge to understand data, AI/ML workflows, queries, and scripts.Job TitleData & AI Business AnalystLocationToronto, ON (Hybrid, 2 days per week in office)Duration12 Months (Possible Extension/Conversion)Key ResponsibilitiesPartner closely with data scientists, developers, and technical stakeholders supporting AI and machine learning model development initiativesCreate and maintain clear, comprehensive documentation throughout the model development lifecycleSupport documentation required for model validation and governance processesTranslate complex technical concepts, model logic, workflows, analyses,



and findings into documentation that can be understood by business stakeholdersHelp design and establish a centralized documentation and knowledge hub for model development activitiesCapture key findings, analyses, decisions, and insights from previous model-development efforts so they can be leveraged across future initiativesWork with technical team members to understand model workflows, dependencies, development processes, and production considerationsPerform basic data-related activities when required, including running and validating queries and testing scriptsSupport project coordination activities and collaborate with other teams using tools such as Jira when requiredAssist with general BA and project administration activities, including access requests and project documentationParticipate in technical discussions, project working sessions, and in-person whiteboarding sessions as neededRequired QualificationsPrevious experience as a Business Analyst, Technical Business Analyst, Data Business Analyst, or similar roleProfessional experience supporting data science, artificial intelligence, machine learning, advanced analytics, or data-focused initiativesUnderstanding of the machine learning/model development lifecycle,



including how models move from development and testing through validation and productionStrong experience producing technical and business-facing documentationAbility to communicate effectively with highly technical stakeholders and translate technical information for business audiencesHands-on familiarity with data querying and analysis, ideally including SQLAbility to understand, run, or validate technical queries and scriptsStrong analytical, organizational, and communication skillsExperience working across technical and business stakeholder groupsComfortable working independently in a highly technical, fast-moving environmentPreferred QualificationsPrevious experience within banking or financial servicesFamiliarity with Python or other scripting languagesExperience working directly with data scientists, machine learning engineers, or AI development teamsExperience building or maintaining centralized documentation repositories or knowledge-management frameworksExperience with Jira, Confluence, or similar project/documentation platformsUnderstanding of model productionization, data workflows, and technical development processesIdeal CandidateThe ideal candidate is someone who can comfortably sit in a meeting with data scientists and developers, understand the technical conversation, ask intelligent questions, and then turn that information into clear, organized, reusable documentation.You do not need to be a data scientist or machine learning engineer; however, you should have enough technical fluency to understand how data and AI solutions are developed, validated, and moved toward production. This opportunity is particularly well suited to a Data/AI-focused BA with strong technical documentation skills who enjoys bringing structure to complex technical environments.

📌 Data & Ai Business Analyst (Toronto)
🏢 Kelly
📍 Toronto