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GenAI Data Analyst (Python ML LLM)
Job Location:
Monthly Salary:
Posted:
24 May 2026 (30+ days ago)
Posted:
Application Deadline:
21 August 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
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:
Bachelors 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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Required Skills:
