Senior Data Analytics Specialist / Scientist

Location: Jarvis Street, Toronto, ON

Work Arrangement: 100% Onsite – 5 days per week

Contract: August 17, 2026 – December 31, 2026

Potential Extension: 1 extension term

Incorp Rate: $75-$79.78/hr

Position Overview

Our client is seeking a Senior Data Analytics Specialist / Scientist to lead the development and delivery of advanced analytics solutions that support evidence-based decision-making.

The successful candidate will work closely with business stakeholders, data architects, ETL developers, and technical teams to understand complex business problems, define analytical requirements, develop data-driven solutions, and translate complex findings into actionable insights.

The role will involve data analytics, statistical modelling, machine learning, data engineering, business intelligence, and emerging AI/LLM technologies .

Must-Have Qualifications

- 3–5+ years of relevant experience in data analytics, data science, or a related discipline.
- Strong hands-on experience with Microsoft Azure data and analytics tools .
- Experience with Azure Databricks .
- Hands-on experience with MLflow for machine learning lifecycle management.
- Robust programming experience with Python .
- Experience with Python data science libraries such as pandas, scikit-learn, PyTorch , or equivalent.
- Exposure to LLM/Generative AI frameworks , such as:
- LangChain
- Hugging Face
- DSPy
- Equivalent LLM/AI frameworks
- Experience working with large, complex datasets , including structured and unstructured data.
- Strong knowledge of machine learning, statistical analysis, data mining, and analytical modelling .
- Strong SQL/querying skills and experience developing complex queries.
- Experience translating business requirements into data, analytics, and BI solutions .




- Strong communication skills with the ability to explain technical and analytical concepts to both technical and non-technical stakeholders.

Key Responsibilities

- Lead the development and delivery of business and ministry-specific analytics to support evidence-based decision-making.
- Assess existing data analytics, reporting, and BI capabilities and identify opportunities for improvement.
- Gather and translate business requirements into analytical and technical solutions.
- Own analytics initiatives from requirements gathering through development, testing, deployment, and delivery .
- Develop statistical models and machine learning algorithms to identify trends, model business scenarios, and generate actionable insights.
- Design processes to capture, structure, transform, and prepare data for analytics and machine learning.
- Build reliable and accurate data models using structured and unstructured data sources.
- Analyze high-volume datasets and identify patterns, trends, anomalies, and opportunities.
- Collaborate with Data Architects, ETL Developers, business SMEs, and stakeholders to design effective data and BI solutions.
- Support the development and implementation of AI/ML and LLM-based analytical solutions where appropriate.
- Participate in solution design, documentation, development, testing, and end-user training.
- Develop dashboards, visualizations, reports, and analytical outputs that clearly communicate findings.




- Translate complex quantitative analysis into clear recommendations and actionable business insights.
- Provide analytical guidance and recommendations to stakeholders and leadership.
- Identify opportunities to improve business processes through data, analytics, automation, and AI.
- Ensure analytical outputs are accurate, reliable, understandable, and appropriately validated.

Technical & General Skills

- Strong analytical, problem-solving, investigative, and decision-making skills.
- Excellent written and verbal communication skills.
- Strong consulting and stakeholder management capabilities.
- Ability to facilitate requirements sessions and translate business needs into technical solutions.
- Experience working with both technical and non-technical audiences.
- Knowledge of:
- Statistical analysis and modelling
- Machine learning and algorithms
- Data mining
- Natural language processing
- Generative AI / LLM technologies
- Data management
- Database architecture
- Business intelligence
- Data visualization
- Experience developing ETL/data transformation processes for large relational or multidimensional data stores.
- Strong understanding of data quality, validation, and governance.
- Experience designing user-friendly analytical interfaces and dashboards.
- Proficiency with SQL and complex query development.
- Experience with one or more programming/scripting languages, with Python strongly preferred .
- Strong understanding of mathematics and statistics.
- Ability to work independently while collaborating effectively within cross-functional teams.

Nice-to-Have Skills Experience with analytical and statistical tools such as:

- R
- PowerPivot
- MATLAB
- SPSS
- SAS
- Microsoft Excel
- Microsoft Access
- VBA

Experience with additional cloud, BI, machine learning, or AI technologies is an asset.

📌 Senior Data Specialist (Toronto)
🏢 BITS Recruiting
📍 Toronto