Data Scientist - AI Solutions Specialist
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Summary
Hybrid Data Scientist role in Edmonton developing predictive ML models and analytics for a retail banking client's 'AI Factory' — partnering with AI architects and business stakeholders to identify AI opportunities, deploy models, and drive ethical data governance. Requires 5+ years in data science/ML; retail banking analytics background preferred.
Contribute to cutting-edge AI initiatives as a Data Scientist in Edmonton, AB. This hybrid position focuses on leveraging advanced machine learning techniques to transform Retail Banking.
Our client is building an AI Factory aimed at revolutionizing customer experiences through data analytics and intelligent solutions. As a Data Scientist, you will work directly with AI Architects and business stakeholders to identify high-value opportunities and develop predictive models. Your analytical mindset combined with business knowledge will help in delivering data-driven insights that enhance operational efficiency and service delivery.
Key Responsibilities: • Develop insights from customer and operational data • Create and deploy models supporting business goals • Identify AI and analytics opportunities with stakeholders • Enhance existing AI models through analysis and measurement • Drive ethical data use and governance practices
Requirements: • 5+ years of experience in Data Science or machine learning • Capability in predictive modeling and statistical analysis • Experience with large dataset analysis • Strong presentation skills for diverse audiences • Background in retail banking analytics is preferred
Make a significant impact in Retail Banking by harnessing the power of AI and data as a Data Scientist.
Our client is building an AI Factory aimed at revolutionizing customer experiences through data analytics and intelligent solutions. As a Data Scientist, you will work directly with AI Architects and business stakeholders to identify high-value opportunities and develop predictive models. Your analytical mindset combined with business knowledge will help in delivering data-driven insights that enhance operational efficiency and service delivery.
Key Responsibilities: • Develop insights from customer and operational data • Create and deploy models supporting business goals • Identify AI and analytics opportunities with stakeholders • Enhance existing AI models through analysis and measurement • Drive ethical data use and governance practices
Requirements: • 5+ years of experience in Data Science or machine learning • Capability in predictive modeling and statistical analysis • Experience with large dataset analysis • Strong presentation skills for diverse audiences • Background in retail banking analytics is preferred
Make a significant impact in Retail Banking by harnessing the power of AI and data as a Data Scientist.