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Director, Data Science

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Job Order #: 6300061

NOC: 20012
Employer Name:
SGI REGINA-11th Ave
Posted Date:
11-May-2026
Location:
REGINA
 
# of Positions:
1
Employment Terms:
Full-Time
Apply By:
21-May-2026
How to Apply?:
Apply on our careers website before the deadline which is May 21, 2026, at 11:59pm Saskatchewan time.

Application Information

Employer Name:
SGI REGINA-11th Ave
Contact Name:
Recruitment
Contact Phone:
3067513327
Contact Email:
recruithelp@sgi.sk.ca
Employer Website:
https://sgico.wd10.myworkdayjobs.com/en-US/sgi/details/Director--Data-Science_R6761


Description

At SGI, we believe in personal accountability, where all of us are empowered to be leaders. We encourage a growth mindset that sees change as an opportunity to learn, innovate and continuously improve. We value respectful collaboration and open communication where diverse views are welcome and appreciated.

We are looking for a Director, Data Science to lead our data science team. This senior leadership position requires expertise in advanced analytics, predictive modelling, data wrangling, people management and strategic planning. This role defines the direction for advanced analytics at SGI, supporting data-driven decisions and enhancing products and customer experiences.

The Director oversees the development of statistical models and machine learning algorithms to generate actionable insights from large datasets. In this role, you will use analytics, visualisation, and business acumen to create actionable solutions with measurable business value, promote a data-driven culture and ensure compliance with our Data Policy and Data Governance Framework.

The experience and skills for this position are gained from a four-year degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related discipline. 10 years of experience, including 6 years in progressively responsible leadership roles in data science, with expertise in cloud-based D&A platforms, data management tools, reporting and visualisation, and advanced analytics (AI/ML) and 4 years of relevant experience in the insurance or financial sector, or an equivalent.

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