- Lead the development and delivery of functional and ministry-specific analytics to support evidence-based decision-making and produce actionable insights.

- Work closely with client’s groups to assess current data analytics and reporting capabilities, gather future-state requirements and identify further opportunities for improvement.

- Facilitate decision-making and manage client expectations.

- Own the execution of analytics initiatives including end-to-end reporting and data set delivery.

- Develop robust statistical models and machine learning algorithms to model business scenarios and extract valid inferences.

- Participate in documentation, development, testing, and end user training.

- Work with functional area experts, Data Architects and ETL Developers and stakeholders to understand complex business issues and develop appropriate Business Intelligence solutions.

- Design methods to capture, structure, transform,



and process data to be used to generate models.

- Build data models that provide information which is accurate, easy to understand and unbiased.

- Communicate complex quantitative analysis in a explicit and precise manner, providing useful visuals and summaries.

- Provide interpretation, advice, and expertise to client groups and other stakeholders, including direction on how to transform analytics into actionable information and proactive insights that support decision making.

Must Haves:

- Azure data tools - azure, databricks, MLflow, python

- Exposure to LLM frameworks (DSPy, LangChain, Hugging Face, or equivalent).

- Familiarity with Python and libraries like pandas, scikit-learn, or PyTorch.

📌 Data Analytical Specialist/Scientist - Senior (Toronto)
🏢 Maarut
📍 Toronto