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 robust 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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📌 Data Scientist (Ontario)
🏢 Compunnel
📍 Ontario