Lead Data Scientist

The Alcohol and Gaming Commission of Ontario (AGCO) is an agency where innovation thrives, ideas flourish, and passion drives us to new heights of excellence. Reporting to the Ministry of the Attorney General, the AGCO is responsible for regulating Ontario’s vibrant alcohol, gaming, horse racing, and private retail cannabis sectors in accordance with the principles of honesty and integrity, and in the public interest.    Within AGCO’s Information and Information Technology (I+IT) Division, the Enterprise Data and Analytics (EDA) Branch is seeking a seasoned Lead Data Scientist. Reporting to the Senior Manager, Data Science and Analytics, this role presents a unique opportunity to lead and shape data-driven decision-making across a dynamic regulatory organization.   AGCO’s data landscape is diverse—some areas are mature and well-established, while others, particularly in newer regulatory domains, are just beginning their data journey. This creates a compelling opportunity for a Lead Data Scientist to: Define and implement foundational data strategies Develop impactful AI and machine learning solutions Influence how data informs public policy and service delivery This role is more than just refining existing models — it’s about shaping the future of data at AGCO. You’ll uncover insights from newly acquired datasets, advocate for ethical and responsible data practices, and help elevate our organization’s data maturity. If you're driven by the power of data to create meaningful public impact, we invite you to be part of this journey. This is an opportunity for a visionary who’s ready to build, influence, and make a difference.    What You Will Do: Design and deliver advanced analytics solutions—from predictive models and generative artificial intelligence (AI) to geographic information systems (GIS) and business intelligence dashboards. Lead the development of cloud-based data science tools and pipelines using Azure technologies and Microsoft Fabric. Collaborate with cross-functional teams to identify opportunities where data can inform policy, improve service delivery, and support regulatory innovation. Present insights to internal and external stakeholders, translating complex findings into actionable recommendations. Guide the operationalization of models, including field trials, performance tracking, and continuous improvement. Contribute to ethical data governance and help shape the AGCO’s data maturity roadmap. You Have:   Post-secondary education in data science, artificial intelligence, machine learning, computer science, statistics, or a related field, or an equivalent combination of education and experience. Demonstrated experience using Python and SQL to solve real-world problems, including applying machine learning techniques such as regression, clustering, decision trees, and neural networks. Proven ability in predictive analytics, with a track record of building models that uncover patterns and support data-informed decision-making. Hands-on experience designing, building, and deploying data solutions on cloud-based platforms such as Microsoft Fabric, Azure Machine Learning, Azure Synapse Analytics, Azure Foundry, and Visual Studio. A growth mindset and practical experience across the full data science lifecycle—from data engineering and model development to generating insights and supporting implementation. Strong communication and collaboration skills, with the ability to convey complex analytical findings into actionable insights for both technical and non-technical audiences. Eligibility to work in Canada and the ability to successfully complete a criminal background check. Nice to Have: Training or certification in generative AI, data engineering, or business intelligence solution development is considered an asset. Familiarity with tools such as SQL Server Integration Services (SSIS) and SQL Server Analysis Services (SSAS) is a plus. Experience in risk modeling and/or geospatial analysis is an asset.