HR Data Scientist, Data Eng.

Job summary

Lead end-to-end analytics projects, including data engineering, statistical modeling, and development of stakeholder-ready applications. Apply data science and AI methods to workforce data to produce actionable insights that inform people strategies across a global organization.

Job details

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.

What you’ll do

Lead end-to-end analytics projects, including data engineering, statistical modeling, and development of stakeholder-ready applications. Apply data science and AI methods to workforce data to produce actionable insights that inform people strategies across a global organization.

Requirements

Requires 8 to 10 years of experience in a quantitative or data-intensive field, expert proficiency in Oracle SQL and Python, and the ability to lead analytics projects independently. A master's degree in a quantitative discipline or equivalent experience is required, with HR analytics and financial services experience considered beneficial.

Listed skills

• Problem solving · Preferred
• Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Oracle SQL
• Python
• Data Engineering
• Data Extraction and Transformation
• Statistical Modeling
• Large Language Models
• Generative AI
• Data Applications
• Dashboard Development
• HR Analytics
• Workforce Analytics
• Quantitative Modeling
• Project Leadership
• Stakeholder Communication
• Problem-Solving

Job areas

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