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About the Role

This high-impact role within the insurance sector focuses on advanced data analysis and GenAI-driven sales enablement. You will 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.

Responsibilities

• Prepare, clean, and analyze datasets for training, validating, and evaluating LLM-based or GenAI features.
• Collaborate with product, sales, and business stakeholders to define 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 for AI-generated outputs.
• Contribute to structured knowledge bases, taxonomies, and metadata for RAG-based systems.
• Generate insights to optimize sales processes and improve user experiences.
• Develop and implement analytics solutions aligned with business goals.
• Analyze complex datasets and integrate multiple internal data sources.
• Translate analytical findings into business recommendations for stakeholders and senior data scientists.
• Document data sources and support structured processes for continuous improvement.
• Engage subject matter experts and facilitate knowledge sharing.
• Provide guidance and feedback to junior analysts or data scientists.
• Participate in daily project updates and communicate requirements and timelines.
• Propose and implement technical solutions within deadlines.
• Perform hands-on data preparation, analysis, and development.
• Prepare presentation materials for proposed solutions.
• Track tasks and progress using Jira.

Requirements

• 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.
• Exposure to insurance industry workflows is an asset.
• Strong Python programming skills.
• Proficiency with BI tools such as Power BI or Tableau.
• Knowledge of statistical methods and 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 and collaboration skills.
• Curiosity and willingness to learn GenAI workflows and evaluation techniques.

Skills

• Python
• Power BI
• Tableau
• Machine Learning
• Data Analysis
• LLM concepts
• Prompt Engineering
• Data Modeling
• GitHub
• Jira

Location

• Toronto, Canada

Work Type

• Hybrid
• Full-time
• Contract

Experience Level

• 3 to 5 years

Education Level

• Bachelor’s degree

Salary/Compensations

• $45-53 per hour (Salaried)
• $54-62 per hour (Incorporated Business Rate)

Benefits

• 7-month contract

About the Company

• Recruit Action provides recruitment services through quality support and a personalized approach.