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.

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.
- Solid 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 a

📌 Senior Data Scientist (Toronto)
🏢 Tri-global Solutions Group
📍 Toronto