Data Scientist

Saskatchewan Government Insurance; Regina; Hybrid; CAD 90,000 - 120,000; Full time

Job summary

Saskatchewan Government Insurance is seeking a data science professional to advance analytics across business units. You will collaborate with stakeholders to identify opportunities, develop models, and implement data-driven solutions that enhance products and services.

The role emphasizes predictive analytics, model development, and end-to-end analytics project management within SGI's diverse insurance operations.

Qualifications

• Four-year degree in Mathematics, Statistics, Engineering or Computer Science.
• Pursuing data science certifications (e.g., CSPA) is a plus.
• Three to five years in data science or related roles.
• Three years in property and casualty insurance is an asset.

Responsibilities

• Identify opportunities to apply data science to business solutions.
• Collaborate with lines of business on data requirements.
• Develop advanced analytics to support strategies, operations and processes.
• Mine and analyze data to optimize product development, marketing and business outcomes.
• Use predictive modeling to improve customer experiences and revenue.
• Develop A/B testing frameworks and monitor model performance.

Skills

Machine Learning

Predictive Modeling

Data Analysis

Python

SQL

R

SAS

Data Visualization

Stakeholder Collaboration

Problem Solving

Education

Bachelor's degree in Mathematics, Statistics, Engineering or Computer Science

Pursuing data science certifications (e.g., CSPA)

Tools

Python

R

SQL

SAS

Tableau

Job description

Do you value integrity and innovation? How about passion and caring? Great! Us too, and that's why you'll fit right in. Our intentional culture promotes trust and participation, encouraging you to bring your heart and mind to work every day.

Out-of-scope Permanent, Full-Time Work Location: Saskatchewan, Manitoba, Alberta, British Columbia, and Ontario. This role is eligible for in-office, hybrid, or remote work within the provinces where we operate. The successful candidate will be hired based on their current residence in one of these provinces. Pay Range: $90,116 - $120,147 Posting Close Date: September 24, 2026

Key Accountabilities

• Machine Learning/Predictive Modeling Works with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
• Liaises with lines of business and corporate functions on data science requirements.
• Develops a deep understanding of advanced analytics to identify, evaluate, and recommend data solutions that support evolving business strategies, operations, and processes.
• Mines and analyzes data from company databases to drive optimization and improvement of product development, marketing techniques, and business strategies.
• Uses predictive modeling to increase and optimize customer experiences, revenue generation, workflow decisions, and other business outcomes.
• Develops A/B testing framework to test model quality.
• Coordinates with different functional teams to implement models and monitor outcomes.
• Assists in the development of processes and tools to monitor and analyze model performance and data accuracy.
• Develops custom data models and algorithms to apply to data sets.
• Creates automated anomaly detection systems and tracks its performance.
• Identifies business applications of predictive analytics and artificial intelligence/machine learning, collaborates with stakeholders on the feasibility of such models, and provides support in model development and training.
• Conducts advanced analysis to proactively uncover new trends or perspectives on client data and provides findings to the business unit to assist with decision-making based on scientific thinking.
• Conducts complete advanced analytics project cycle from end to end: idea generation; framing the problem; identifying sources of data; selecting the methodology for the solution; and modeling, deploying, and monitoring the solution.
• Works with Business Insights and Analytics Report Development teams to identify, implement, and monitor the performance of predictive models to execute the business strategy.

Advanced Analytics Support Assists in the assessment of the effectiveness and accuracy of new data sources and data gathering techniques. Researches and tests third party sources of information that will improve the company’s data. Enhances data collection procedures to include information that is relevant for building analytics systems. Researches and evaluates data for the development, analysis, interpretation, and reporting of performance indicators, benchmarking, and opportunities for the business unit. Provides information in a clear, relevant format, such as a dashboard, graph, report, or presentation, to facilitate and support timely decision-making for operational areas through understanding business needs. Consults with Data Engineer to create and improve data assets and pipelines that improve the advanced analytics process.

Leadership Actively contributes to and supports a culture of high performing workforce. Participates in divisional succession plans, ensuring ongoing professional and career development and supports development in others. Supports a culture of leadership and accountability to effectively deliver on strategic and corporate strategies. Is actively committed to leadership development across the company, supporting team and workforce readiness through mentoring, training, and developmental opportunities.

Corporate Management Enables the success of programs and policies that are in alignment with corporate, strategic, and divisional strategies. Manages risk in area of authority. Ensures that the Health, Safety and Emergency Management Policy is applied in area of responsibility.

Education and Experience

A four-year degree from an accredited post-secondary educational institution in a directly related field of study (e.g., Mathematics, Statistics, Engineering, Computer Science). Working towards or dedication to pursue designations and/or certifications in Data Science (e.g., Certified Specialist in Predictive Analytics [CSPA] designation from the Casualty Actuarial Institute or equivalent). Three to Five years of experience in a data science, research, and/or equivalent role. Three years of experience in Property and Casualty insurance with superior understanding of the business domain is an asset.

Knowledge, Skills and Abilities

• Knowledge of how to structure a data problem, from framing the right questions to ask, to communicating the results effectively.
• Knowledge of advanced machine learning algorithms and mathematical and statistical concepts and techniques (e.g., clustering, decision tree learning, artificial neural networks) and their real-world advantages and drawbacks.
• Knowledge of relational database structure.
• Skill in using common data science toolkits and statistical programming languages (e.g., R, Python, SAS, SQL) to manipulate data and draw meaningful insights from large datasets.
• Skill in processing high-level requirements from stakeholders to develop the required data extraction program and visualization needed for high-priority projects using industry standard reporting tools.
• Skill in gathering business requirements and transforming these into actionable data.
• Ability to visually present and communicate data, analyses, and findings.

Behavioural Competencies

Leader Level 3 – Applies (Team/Dept) Accountability - Provides Direction and Sets Expectations Business Acumen - Applies Broader Business Metrics and Understands the Internal and External Environment Change Agility - Makes Change Real for Others Leadership - Leads the Team

At SGI, we are committed to a workplace where people feel respected, valued, and able to contribute fully. Through fair, consistent, and transparent people practices, we attract skilled talent with varied lived experiences and offer meaningful work, opportunities for growth, and a strong sense of belonging. Our commitment to reconciliation includes inclusive hiring practices that create meaningful opportunities for Indigenous peoples and support a workforce reflective of the communities we serve. Join us in building a culture where contributions are valued and shared success is shaped by our people.

If you require an accommodation during the recruitment process, we invite you to submit your accommodation request to [e-mail] and we will work through your request with you. All information received will be kept confidential.

Pay Range:$90,116.00 - $120,147.00 Posting Close Date: September 24, 2026

SGI has offered affordable insurance products and great service to our customers since 1945. SGI has 2 distinct operations - the Saskatchewan Auto Fund and SGI CANADA. The Auto Fund is Saskatchewan’s compulsory auto insurance program, operating the driver licensing and vehicle registration system. SGI CANADA is the property and casualty insurance division which offers products in Saskatchewan, British Columbia, Alberta, Manitoba and Ontario through a network independent insurance brokerages. SGI and SGI CANADA are Crown corporations, owned by the Government of Saskatchewan. Our culture is one of 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 your voice is welcome and appreciated. Each of us has a role in SGI and SGI CANADA’s success and we acknowledge everyone’s contributions. We care about each other. We treat one another with kindness and celebrate each person’s uniqueness so we can all be our authentic selves at work. That’s because diversity, equity and inclusion are foundational to our culture and who we are. Different backgrounds and perspectives make for a vibrant and creative community where innovation flourishes. We offer more than a paycheque (although we do provide competitive pay!). Everyone at SGI and SGI CANADA enjoys great benefits, perks and options to balance work and everything else life sends their way. We also believe in you and your future career aspirations. Regardless of where you start, SGI and SGI CANADA will invest in you by supporting education, accreditation and professional development.