Senior Data Scientist – Azure & Databricks

Job summary

Design, build, tune, and monitor predictive and machine learning models using large datasets and scalable tools such as Python, PySpark, Azure, Databricks, and SQL. Partner with business and technology teams to deliver analytics for risk monitoring, customer behavior, and operational efficiency, while maintaining documentation for governance and regulatory needs.

Job details

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 environment. 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.

What you’ll do

Design, build, tune, and monitor predictive and machine learning models using large datasets and scalable tools such as Python, PySpark, Azure, Databricks, and SQL. Partner with business and technology teams to deliver analytics for risk monitoring, customer behavior, and operational efficiency, while maintaining documentation for governance and regulatory needs.

Requirements

Requires 8+ years of data science, data engineering, or advanced analytics experience, expert Python and PySpark, strong Azure and Databricks experience, and advanced SQL skills. Candidates should have extensive predictive modeling experience, strong statistical and data-mining capabilities, experience with large-scale production analytics, and the ability to independently lead complex deliverables; financial services, AML, and transaction monitoring experience are preferred.

Listed skills

• Machine learning · Preferred
• Python · Preferred
• Microsoft Azure · Preferred
• SQL · Preferred
• transaction monitoring · Preferred
• Stakeholder Management · Preferred
• Tableau · Preferred
• Java · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Predictive Modeling
• Machine Learning
• Python
• PySpark
• Azure
• Databricks
• SQL
• Statistical Modeling
• Data Exploration
• Data Mining
• Risk Scoring
• Transaction Monitoring
• Model Performance Analysis
• Stakeholder Management
• Tableau
• Java

Job areas

• Data & Analytics
• Technology
• Science & Research
• Finance & Accounting

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