Compunnel Inc.
Data Scientist
Toronto, Ontario, Canada · Contract
Sponsorship not specifiedDetected 67 days ago
PythonGitSQLAzureMachine Learningscikit-learnPandasNumPyData AnalysisData ScienceData VisualizationLLMsRAGStatisticsSalesCommunicationProblem Solving
About the role
- We are seeking a Data Scientist to support sales enablement initiatives, ideally within the insurance sector.
- This role involves data preparation, model development, and evaluation for various Group Benefits insurance projects.
- The successful candidate will manage moderate scope analytics projects, translate data-driven insights into actionable business recommendations, and work with diverse data systems.
Responsibilities
- Utilize LLMs to create features from unstructured data.
- Design and build segmentation and predictive models for customer and advisor analytics.
- Own the feature engineering pipeline for ML/AI models.
- Collaborate with business stakeholders to understand workflows, data requirements, and key performance metrics.
- Build dashboards and reporting assets to deliver insights to business stakeholders.
- Develop and implement analytics-enabled solutions that support business goals and process improvement.
- Deliver complete projects of moderate complexity.
- Document data sources, contribute to structured processes, and support closed-loop tracking for continuous improvement.
- Communicate with business partners to confirm requirements and clarify timeline constraints.
- Propose and implement technical solutions based on business needs and project deadlines.
Requirements
- 35 years of experience as a Data Analyst, Data Scientist, or in a related analytical role.
- Strong Python skills, including experience with data science libraries (e.g., pandas, NumPy, scikit-learn, PySpark or similar).
- Strong SQL experience and proficiency with data modeling concepts.
- Proficiency with BI tools such as Power BI, Tableau, or similar platforms.
- Demonstrated experience engineering complex features from large, messy, and multi-source datasets and assessing feature quality.
- Experience with classical statistical methods and ML techniques (e.g., regression, clustering, PCA, decision trees, survival analysis).
- Ability to translate ambiguous business questions into structured analytical approaches.
- Proficiency with Github and Git.
- Experience with LLM concepts (Context Engineering, Prompt Engineering, LLM Guardrails).
- Good communication skills, with the ability to translate complex technical components into simple business requirements.
Nice to have
- Experience with MLOps.
- Experience with Azure and Databricks.
- Experience with Agentic AI.
- Certifications Bachelors degree in Statistics, Math, Computer Science, Engineering, or equivalent technical experience.
- Prepare, clean, and analyze datasets from complex internal data sources for ML/AI features.
Apply directly at Compunnel Inc. →Create a free account for alerts like thisView Compunnel Inc. immigration profile
This listing is sourced directly from Compunnel Inc.'s careers page and normalized into a canonical job model.