Intermediate Data Scientist to prepare, clean and analyze datasets used for training, validating, and evaluating LLM based or GenAI features- 16669

Intermediate Data Scientist to prepare, clean and analyze datasets used for training, validating, and evaluating LLM based or GenAI features- 16669

Desired Location-Hybrid-Toronto (3 Days a Week on Site)

Duration: 06/15/2026- 12/31/2026 (Chance fo Extension)

Hours: 37.5 Hours Per Week

Job Description

Description: Our Insurance Client is hiring a Data Scientist with experience supporting sales workflows, ideally within the insurance industry, to contribute to data preparation, insight generation, and evaluation activities for our GenAI powered sales enablement platform.

This role is well suited for someone who blends strong analytical skills with an understanding of advisor or sales team operations.

Candidates should also be comfortable owning moderate scope analytics projects, translating data into business recommendations, and working across diverse data systems.

JOB DESCRIPTION

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 advisor workflows, data requirements, and key 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 tasks to ensure accuracy and reliability of AI generated outputs.
• Contribute to the development of structured knowledge bases, taxonomies, and metadata to support RAG based systems.
• Generate actionable insights to optimize sales processes and improve advisor and end user experiences.
• Develop and implement analytics enabled solutions that support business goals and process improvement; deliver complete projects of moderate complexity.
• Analyze datasets of significant complexity and connect data sources across multiple internal systems.
• Translate analytical findings into business language and recommend solutions to stakeholders and senior data scientists.
• Document data sources, contribute to structured processes, and support closed loop tracking for continuous improvement.
• Engage subject matter experts to understand business processes, and build internal networks for collaboration and knowledge sharing.
• Provide guidance to more junior analysts or data scientists when needed, incorporating coaching and feedback into work.

Qualifications

• 3-5 years of experience working as a Data Analyst, Data Scientist, or in a related analytical role, ideally in a sales support or sales operations environment.
• Strong Python skills.
• Proficiency with BI tools such as Power BI, Tableau, or similar platforms.
• Background working with sales datasets; exposure to insurance industry workflows or advisor models is a strong plus.
• Curiosity about GenAI and eagerness to learn LLM related workflows, evaluation techniques, and best practices.
• Working knowledge of classical statistical methods (e.g., regression, clustering, PCA, decision trees, survival analysis) and familiarity with machine learning techniques.