Our client is looking for a Senior Data Scientist to join its HR Data Science team and turn complex workforce data into clear, actionable intelligence that shapes people strategies at a global scale. In this role, you will lead end-to-end analytics projects - from data engineering and statistical modelling through to stakeholder-ready applications. Sitting within a high-impact analytics function, you will apply advanced data science methods and AI tooling to solve meaningful problems across a large, internationally operating organisation.
Qualifications & Skills
- 8 to 10 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, Python, experience with building on LLMs for advanced analytics, including data extraction, transformation, statistical modelling, 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.
Beneficial Skills & Qualifications
- 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 modelling in a regulated environment.
- Experience collaborating with cross-functional teams in a matrixed organisation, with the ability to build effective working relationships across business areas.
This is a contract role and work type is hybrid (3 days on site).
Location is greater Toronto area.
