Senior Data Scientist who can work independently| collaborate effectively with data scientists| ML engineers| data engineers| and business partners| and help accelerate the delivery of enterprise AI and analytics solutions from exploration through production readiness.

Essential Skills: Experienced Senior Data Scientist to support the AI CoEs Machine Learning and Data Science initiatives. The ideal candidate will have strong applied machine learning| statistical modeling| analytics| and analytical problem-solving experience| with the ability to translate business problems into practical data science solutions. They should have expert knowledge of SQL and Python| along with hands‑on experience in predictive modeling| forecasting| classification| regression| experimentation| A/B testing| feature engineering| model evaluation| and insights generation.



This is a highly analytical and hands‑on role focused on delivering end‑to‑end data science solutions| including data exploration| data preparation| feature engineering| model development| validation| interpretation| and communication of insights.

Experience with visualization tools such as Tableau| Power BI| or similar platforms is practical| particularly for communicating model outputs| trends| and actionable insights.

Experience working in cloud‑based data science environments| including Azure| Azure ML| Databricks| MLflow| and related cloud technologies| would be considered an asset.

Experience with use cases such as churn prediction| member personalization| recommendation systems| marketing optimization| anomaly detection| and experimentation frameworks would be valuable. In addition to technical depth| we are looking for someone who can work independently| collaborate effectively with data scientists| ML engineers| data engineers| and business partners| and help accelerate the delivery of enterprise AI and analytics solutions from exploration through production readiness.

Desirable Skills

📌 Senior Data Scientist (Toronto)
🏢 Envision Technology Solutions
📍 Toronto