Job Description
GenAI Data Analyst (Python / ML / LLM)
High-impact role in the insurance sector focused on advanced data analysis and GenAI-driven sales enablement. Leverage Python, BI tools, and machine learning concepts to transform complex datasets into actionable insights, build performance dashboards, and support AI-powered solutions in a collaborative hybrid environment.
What is in it for you:
• Salaried: $45-53 per hour.
• Incorporated Business Rate: $54-62 per hour.
• 7-month contract.
• Full-time position: 37.50 hours per week.
• Hybrid: 3 days/week in Toronto office.
Responsibilities:
• Prepare, clean, and analyze datasets used for training, validating, and evaluating LLM-based or GenAI features.
• Collaborate with product, sales, and business stakeholders to understand workflows, data requirements, and performance metrics.
• Build dashboards and reporting assets to track adoption, performance, and business impact of sales enablement tools.
• Support prompt evaluation, annotation, and quality assurance to ensure accuracy and reliability of AI-generated outputs.
• Contribute to structured knowledge bases, taxonomies, and metadata supporting RAG-based systems.
• Generate insights to optimize sales processes and improve advisor and end-user experiences.
• Develop and implement analytics solutions aligned with business goals and deliver projects of moderate complexity.
• Analyze complex datasets and connect multiple internal data sources.
• Translate analytical findings into business recommendations for stakeholders and senior data scientists.
• Document data sources, support structured processes, and enable continuous improvement tracking.
• Engage subject matter experts and contribute to collaboration and knowledge sharing.
• Provide guidance and feedback to junior analysts or data scientists when required.
• Participate in daily project updates and communicate with business partners on requirements and timelines.
• Propose and implement technical solutions aligned with business needs and deadlines.
• Perform hands-on data preparation, analysis, and development tasks.
• Prepare presentation materials to communicate proposed solutions.
• Track tasks and progress using Jira.
What you will need to succeed:
• Bachelor’s degree in Statistics, Mathematics, Computer Science, Engineering, or equivalent technical experience.
• 3 to 5 years of experience in a data analyst, data scientist, or related analytical role.
• Experience in sales support or sales operations environments, with exposure to insurance industry workflows considered an asset.
• Strong Python programming skills.
• Proficiency with BI tools such as Power BI, Tableau, or similar platforms.
• Knowledge of statistical methods and familiarity with machine learning techniques.
• Experience working with large and complex datasets using structured analytical approaches.
• Understanding of data modeling concepts, relational databases, and basic AI/ML toolkits.
• Familiarity with GitHub and version control practices.
• Knowledge of ML fundamentals including exploratory data analysis, feature engineering, and model testing.
• Exposure to LLM concepts such as prompt engineering, context engineering, and guardrails.
• Ability to translate complex technical concepts into clear business insights.
• Strong problem-solving skills and ability to work autonomously.
• Effective communication skills and ability to collaborate within a team environment.
• Curiosity and willingness to learn GenAI workflows and evaluation techniques.
Why Recruit Action?
Recruit Action (agency permit: AP-2504511) provides recruitment services through quality support and a personalized approach. As part of the screening process, some applications may be reviewed using artificial intelligence tools. Only candidates who meet the hiring criteria will be contacted.
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