Senior Data Scientist – Azure & Databricks

Location:
Toronto/Markham, ON – Hybrid, 3 days onsite Duration: 6 months, with potential extension/conversion Hours: 37.5 hours/week Rate: $85–$105/hr, with some flexibility for exceptional candidates Role Overview Seeking a Senior Data Scientist to support advanced analytics, predictive modelling and data science initiatives within a large financial services setting. The role will use statistical and machine learning techniques to develop models, analyze large datasets and deliver data-driven solutions supporting risk monitoring and operational efficiencies.

Key Responsibilities
• Design, build and maintain predictive and machine learning models.
• Perform complex data exploration, analysis and statistical modelling.
• Develop scalable analytics solutions using Python, PySpark, Databricks, Azure and SQL.
• Build and optimize models supporting monitoring, customer behaviour and risk scoring.
• Conduct model performance analysis, tuning and ongoing monitoring.
• Identify patterns, trends and risk indicators across large datasets.
• Partner with business and technology teams to identify opportunities for data-driven improvements.
• Develop analytical queries and support implementation of new or enhanced analytics solutions.
• Maintain model and analytical documentation to support governance, audit and regulatory requirements.




• Independently lead complex analytical deliverables from exploration through implementation. Must-Have Qualifications
• 8+ years of Data Science, Data Engineering or advanced analytics experience.
• Extensive experience building predictive models using machine learning techniques.
• Expert-level Python and PySpark.
• Strong hands-on Azure and Databricks experience.
• Advanced SQL skills.
• Strong data exploration, manipulation and analytical capabilities.
• Demonstrated ability to apply statistical techniques and data-mining methods to complex business problems.
• Experience working with large-scale data and production analytics environments.
• Strong communication, problem-solving and stakeholder-management skills.
• Ability to independently own complex analytical deliverables. Nice-to-Have
• Banking or financial services experience.
• AML / Financial Crime analytics experience, particularly transaction monitoring.
• Databricks, programming or statistics certifications.
• Java and/or Scala.
• Tableau.
• Master’s degree in Statistics, Computer Science, Software Engineering or related discipline. Note: We use AI tools to: obtain basic information, detect plagiarism, false employment history or references, categorize your skills, and do an initial match with job posting.

📌 Senior Data Scientist – Azure (Toronto)
🏢 Infotek Consulting
📍 Toronto