Data Scientist

Global Financial Firm located in Mississauga, ON has an immediate contract opportunity for an experienced Data Scientist.

Work Mode:Hybrid

Pay rate range:$72 .00 - $76.00 Negotiable based upon years of experience

Responsibilities:

• Analyze large, complex internal and external datasets to evaluate business strategies and deliver data-driven recommendations that inform key organizational decisions.
• Design and build analytical applications — including interactive dashboards and platforms — that translate analytical findings into intuitive, actionable formats for senior stakeholders and leadership.
• Extract, transform, and model data using Oracle SQL and Python, encompassing statistical and advanced machine learning, usage of LLMs, automation of recurring analyses, and exploratory data analysis.
• Document data requirements, data collection processes, and cleaning methodologies to ensure analytical outputs are reproducible, auditable, and meet compliance standards.
• Apply GenAI tools to manage and progress multiple analytical workstreams simultaneously, maintaining a high degree of accuracy and rigor throughout.
• Scope, drive, and deliver analytics projects independently from initial concept through to final output, with minimal oversight and full ownership of delivery.

Requirements:

• Minimum 8 years of experience working in a quantitative or data-intensive field, with demonstrated ability to retrieve, manipulate, and model complex datasets.
• Expert-level proficiency in Oracle SQL and Python, with experience building on LLMs for advanced analytics, including data extraction, transformation, statistical modeling, and automation.
• Demonstrated ability to build data applications — such as dashboards or interactive tools — that present analytical results clearly to non-technical audiences.
• Advanced analytical and problem-solving ability, with a track record of delivering innovative, data-driven solutions to complex business questions.
• Experience leveraging GenAI tools to manage multiple concurrent projects while sustaining high analytical accuracy.
• Proven ability to independently lead analytics projects end-to-end, from scoping and methodology through to delivery and stakeholder communication.
• Master's degree in a quantitative discipline, or equivalent professional experience.

Preferred Skills:

• Experience working with HR or people analytics data, with familiarity in workforce metrics and related data structures.
• Background in the financial services or credit card industry, with exposure to quantitative modeling in a regulated environment.
• Experience collaborating with cross-functional teams in a matrixed organization, with the ability to build effective working relationships across business areas.