The Alberta iGaming Corporation (AiGC) is a provincial Crown corporation established to conduct and manage online gaming in Alberta. Alberta's regulated iGaming market launched in July 2026, creating a unique opportunity to help shape a new industry in the province. AiGC works with some of the world's largest gaming operators and is building the legal, regulatory, and operational frameworks that support a modern, competitive, and responsible online gaming market.
We're looking for a Lead Data Scientist to lead the application of advanced data science and analytical methodologies to enable safe, fair, and responsible iGaming in Alberta by providing actionable insights, strengthening AiGC oversight, detecting and mitigating risks, and supporting evidence-based decision-making while prioritizing market integrity, transparency, and sustainability of Alberta's regulated online gaming environment.
AiGC is building a modern, regulated conduct and manage crown agency from the ground up. This is a rare opportunity to step into an organization at the earliest stage and shape how our operation comes together.
Why Join AiGC?AiGC is building a modern, regulated conduct and manage crown agency from the ground up. This is a rare opportunity to step into an organization at the earliest stage and shape how our operation comes together.
Who You AreYou are a highly skilled data science professional with a strong blend of technical expertise, strategic thinking, and business acumen. You have a proven ability to transform complex data into meaningful insights, develop advanced analytical solutions, and influence decision-making at all levels of an organization. You are collaborative, curious, and results-oriented, with a passion for data quality, continuous improvement, and solving complex business challenges.
You thrive in dynamic environments, communicate complex concepts with clarity, and are committed to leveraging data and analytics to create measurable value and support organizational objectives.
In this role you will own:
Data Quality Management- Manage and monitor operators reporting compliance with AiGC's data dictionary and data standards in partnership with the Data Platforms team.
- Drive consistency and standardization of data reporting across multiple operator platforms and technology environments.
- Develop and monitor data quality metrics to identify data issues, reporting discrepancies, compliance gaps, and emerging risks, and develop actionable mitigation strategies
- Develop, maintain, and continuously enhance operational performance dashboards to monitor key metrics, assess market growth, player behaviour, operator performance, and emerging industry trends.
- Produce market intelligence reports, trend analyses, and data-driven insights
- Design and implement risk indicators, predictive models, and early warning systems to proactively monitor operator activity, compliance risks, market anomalies, and emerging threats.
- Translate complex analytical findings into clear, concise, and actionable intelligence for technical and non-technical audiences.
- Support the development of an enterprise iGaming analytics roadmap, ensuring alignment with organizational priorities, requirements, and strategic objectives.
- Design and implement predictive models to support revenue forecasting, player behaviour analysis, market growth projections, and risk identification.
- Lead advanced statistical analyses, predictive analytics initiatives, and evaluation frameworks to evaluate key performance metrics.
- Develop and enhance business intelligence solutions, dashboards, and interactive visualizations that provide timely and actionable insights to executives and stakeholders.
- Support the development of high-quality briefing materials, reports, presentations, and strategic insights for executives, senior leadership, and the Board to support decision-making and policy development.
- Conduct impact assessments to evaluate the potential effects of regulatory, legislative, market, technology, and competitive changes on Alberta's iGaming market.
- Lead scenario modeling, forecasting, and predictive analyses to inform strategic planning, risk management, revenue projections, and market development initiatives.
- Provide evidence-based insights on market performance, player behaviour, operator performance, and emerging risks.
- Monitor and assess industry trends, regulatory…
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