Senior Data Scientist (Azure Ml)

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:
ContractNumber of Resources required:
1Term:
2026-11-23 to 2027-05-23 (130 days) with possible extensionRate (CAD):
Up to $80.00 per hour / Commensurate with related experience and market competitivenessHours per day:
7.25Security 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.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.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
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, Product Managers, and technology teams to operationalize successful models and analytical solutions.Define and monitor analytical KPIs and support evaluation of whether delivered solutions achieve intended business outcomes.Communicate complex analytical findings and recommendations in clear, actionable terms for both technical and executive audiences.Apply appropriate Responsible AI, privacy, data governance, and model risk considerations throughout the analytics lifecycle.QUALIFICATIONS & EXPERIENCE
Degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Engineering, or a related quantitative field, or equivalent experience.Significant experience in data science, advanced analytics, predictive modelling, machine learning, or statistical analysis.Strong proficiency in Python, SQL, statistical analysis, and machine learning techniques.Experience developing and validating predictive and machine learning models using real-world enterprise data.Knowledge of model evaluation, experimentation, feature engineering, data quality, and analytical methodology.Experience working with modern cloud-based data and analytics environments.Understanding of Generative AI and emerging AI techniques would be an asset.Strong business acumen with the ability to connect analytical findings to measurable business outcomes.Strong communication, problem-solving, and stakeholder-management skills.MANDATORY REQUIREMENTS (Candidates must meet all requirements below)
Deep expertise in statistics, probability, predictive modelling and machine learning, including classification, regression, clustering, feature engineering, experimentation, model selection, validation, bias/variance, overfitting and statistical inference.Advanced hands-on proficiency in Python, SQL and ML frameworks, with demonstrated experience building, tuning and validating models using real-world datasets. Tech stack: Python, SQL, Power BI, VSCode, Git, Jira, Azure (OpenAI, Foundry and ML Studio), Databricks.Strong hands-on experience with Azure Machine Learning and Microsoft Foundry/Azure AI Foundry, including end-to-end ML pipelines covering experimentation, training, evaluation and operationalization.NOT FOR YOU?
Check out our other opportunities at or follow us on LinkedIn. We thank all candidates in advance. Only candidates selected for an interview will be contacted.WHY WORK WITH TRI-GLOBAL?
Empower positive change by enabling our clients to revolutionize innovation and technology, elevating them to a higher level of excellence and efficiency.Join an exceptional and committed team that redefines the landscape, forging a distinctive path towards success.Engage in stimulating and captivating projects that push boundaries and keep you constantly motivated.
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