The Data Scientist will support the development and optimization of a GenAI-powered sales enablement platform designed to help sales advisors interact with enterprise data through a conversational interface. This role focuses on preparing and analyzing complex datasets, generating insights, and supporting evaluation processes for LLM-driven features. The Data Scientist will collaborate with product, sales, and engineering teams to improve data pipelines, enhance analytics capabilities, and ensure reliable AI-driven insights that support sales workflows. The position requires strong analytical and programming skills, hands-on experience with Python, SQL, and modern data platforms, and familiarity with LLM integrations and machine learning techniques.
KEY RESPONSIBILITIES
- Prepare, clean, and analyze datasets used for training, validating, and evaluating GenAI and LLM-based features
- Collaborate with product, sales, and business stakeholders to understand advisor workflows, data needs, and key performance metrics
- Build dashboards and reporting solutions to track adoption, performance, and business impact of sales enablement tools
- Support prompt evaluation, annotation, and quality assurance processes to improve AI-generated outputs
- Contribute to the development of structured knowledge bases, taxonomies, and metadata to support RAG-based systems
- Generate insights to improve sales processes and enhance advisor and end-user experiences
- Develop analytics-driven solutions that support business goals and operational improvements
- Analyze large and complex datasets and connect multiple internal data sources for unified insights
- Translate analytical findings into clear business recommendations for stakeholders
- Document data sources, methodologies, and processes to support continuous improvement
- Collaborate with subject matter experts to understand business processes and develop analytical approaches
- Assist with ongoing improvement of data pipelines and LLM integration with conversational interfaces
- Support optimization of data and LLM pipelines that power the internal Data Copilot platform
- Log tasks and project updates using collaboration tools such as Jira
- Provide guidance and feedback to junior analysts or data scientists when needed
REQUIRED QUALIFICATIONS
- 3–5 years of experience as a Data Scientist, Data Analyst, or in a related analytical role
- Strong proficiency in Python for data analysis and machine learning workflows
- Strong SQL skills and experience working with relational databases
- Hands-on experience with Git version control including branching and pull requests
- Experience with exploratory data analysis, feature engineering, and model evaluation techniques
- Proficiency with BI tools such as Power BI, Tableau, or similar visualization platforms
- Experience working with complex datasets across multiple systems
- Familiarity with LLM implementations, prompt engineering, and LLM guardrails
- Strong problem-solving skills and the ability to translate complex technical findings into business insights
- Ability to work independently and manage loosely defined tasks in a fast-paced environment
- Strong communication and collaboration skills for working with cross-functional teams
- Bachelor’s degree in Statistics, Mathematics, Computer Science, Engineering, or equivalent technical experience
PREFERRED QUALIFICATIONS
- Experience working with Databricks, Spark, or modern data engineering platforms
- Exposure to RAG pipelines or GenAI data architectures
- Experience with Azure cloud environments
- Familiarity with MLOps practices
- Background working with sales datasets or sales operations workflows
- Exposure to insurance industry data models or advisor-based business environments
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GenAI Data Scientist for Sales Enablement & Insights in Toronto employer: Compunnel Inc.
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