Intermediate Data Scientist to support a GenAI powered sales enablement platform using Python and BI Tools (PowerBI) with one of our insurance clients- 163

Intermediate Data Scientist to support a GenAI powered sales enablement platform using Python and BI Tools (PowerBI) with one of our insurance clients- 16342/16448

Desired Location-Hybrid/ Toronto - 3 Days a Week on Site

Number of Positions: 3

Contract Duration: 04/06/2026 - 12/31/2026

Job Description

• Our insurance clients are 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.
• Experience navigating large and diverse datasets using systematic, structured analytical methods.
• Comfort with data modeling concepts, relational databases, and basic AI/ML toolkits.

Education:

• Bachelor’s degree in Statistics, Math, Computer Science, Engineering, or equivalent technical experience.