Senior Data Scientist (Azure ML)

* Contract * Hybrid (Toronto, Ontario) * Posted on November 4, 2026 **Tri-global Solutions Group Inc.** **SENIOR DATA ANALYTICAL SPECIALIST/SCIENTIST (Azure ML; Enterprise AI & Data Centre of Excellence)** **Requisition #:** R26-3630 (RQ00242) **Location:** Hybrid (3 days onsite / 2 days WFH; Toronto, ON – \*See Work Model) **Engagement Type:** Contract **Number of Resources required:** 1 **Term:** 2026-11-23 to 2027-05-23 (130 days) with possible extension **Rate (CAD):** Up to $80.00 per hour / Commensurate with related experience and market competitiveness **Hours per day:** 7.25 **Security Screening:** Standard (Criminal Record Check) ———————————————————————— Tri-global Solutions Group Inc. is seeking one (1) Senior Data Analytical Specialist/Scientist to join our talented Service Delivery team within Metrolinx. ***WORK MODEL:*** *The successful contractor will be working hybrid with 3 days in office at 277 Front Street West, Toronto, Ontario and 2 days remote/work from home per week.* Please review the project overview, description of services, and requirements below. If you meet the requirements and are interested in submitting for this role, please reply to this job posting. If you know other consultants who may be interested in this opportunity kindly share this job posting. Thank you. Tri-global Solutions Group Inc. Website: https://tri-global.com ———————————————————————— **PROJECT OVERVIEW** The Senior Data Analytical Specialist/Scientist will develop advanced analytics, predictive models, and AI-driven insights to address priority business opportunities. The role will apply statistical, machine learning, and analytical techniques to enterprise data, while supporting data maturity assessments, model validation, business-value analysis, and the identification of high-value AI and analytics opportunities. **DESCRIPTION OF SERVICES** Key Responsibilities: * Design and develop advanced analytics, predictive models, and machine learning solutions for priority business use cases. * Conduct exploratory data analysis to identify patterns, trends, relationships, and opportunities for improved decision-making. * Translate business problems into appropriate analytical and modelling approaches, defining hypotheses, methodologies, and success measures. * Assess the quality, availability, and readiness of data required for AI and advanced analytics use cases. * Support enterprise data maturity and analytics capability assessments and identify opportunities for improvement. * Validate model performance using appropriate statistical and machine learning techniques and communicate model assumptions, limitations, and results. * Partner with business stakeholders to identify high-value AI and analytics opportunities and assess potential business value and feasibility. * Develop prototypes and proofs of concept to test analytical approaches before broader implementation. * Work closely with Data Engineers, Data Architects, Produc