Senior Data Scientist – Azure & Databricks

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.