Data Scientist

Meridian Credit Union • Toronto, ON

17d • CA$68,800 - CA$100,000 • Hybrid

About The Position

The Data Scientist will be a pivotal member of the Enterprise Data and Analytics Team, responsible for developing, and implementing advanced analytics and AI models. Leverage statistical techniques, machine learning, and data mining. This role involves building robust data models, and leveraging a suite of Microsoft and other AI and data technologies to ensure data solutions, accessibility, and usability across the organization. This is a 12-month contract opportunity.

Requirements

• Experience with machine learning frameworks and data mining techniques
• Proficiency in a software programming languages, e.g., Python
• Knowledge of programming languages such as Python or Java.
• Strong analytical and problem-solving skills with the ability to interpret complex data sets.
• Good verbal and written communication skills, with the ability to convey technical information to non-technical stakeholders.
• Ability to work collaboratively in a team environment and manage multiple priorities.
• Experience: 2-4 years of experience in data science and Microsoft technologies.

Nice To Haves

• cloud computing
• Knowledge of SQL Server and T-SQL programming.
• Experience with PowerBI for data visualization and reporting.
• Familiarity with MS Fabric for data integration and management.
• Proficiency in Microsoft Azure, including Azure Data Factory, Azure Databricks, and Azure Synapse Analytics.
• Strong understanding of data warehousing concepts and best practices.
• Experience in developing and managing ETL pipelines.
• Embedding & leveraging technology – Confidence and willingness to learn and integrate AI and emerging technologies into new ways of working. Experience with low/no code tools like the Microsoft Power Platform and generative AI productivity tools like Microsoft Copilot is considered an asset
• Critical Thinking – The ability to analyze, evaluate and interpret information from various sources and apply logic and problem solving to make decisions.
• Data Driven– Leverage data and insights to identify, prioritize and improve member experience and business efficiency.
• Curiosity & Flexibility – Comfortable navigating and embracing change and uncertainty, ask more questions, explore more options. Continuously learn and grow.

Responsibilities

• Develop models to support AI and automation use cases across Meridian
• Develop GenAI and LLM models. Get direction from and technical guidance from more senior members of the team
• Work closely with data engineers, data analysts, and other stakeholders
• Analyze large and complex, structured and unstructured data. Prepare AI-ready data models
• Ensure the accuracy and reliability of data science models, conduct peer reviews of AI and other predictive models
• Research, code, develop and implement advanced analytics and AI models
• Research and stay updated with the latest advancements in data science and AI technologies
• Ensure AI models have proper documentation and model transparency and that they adhere to responsible AI framework
• Collaboration: Work closely with data analysts, senior data scientists, and other stakeholders to understand and deliver on data requirements.
• Help define AI and automation use cases and requirements as well as assessing technical feasibility

Benefits

• INCLUSIVE AND COLLABORATIVE WORKING ENVIRONMENT THAT ENCOURAGES CREATIVITY, CURIOSITY, AND CELEBRATES SUCCESS!
• TOOLS AND TECHNOLOGY NEEDED TO DELIGHT YOUR CANDIDATES AND CLIENTS!
• WORK WITH AND LEARN FROM DIVERSE INDUSTRY LEADERS, WHO HAVE HAILED FROM TOP ORGANIZATIONS AROUND THE WORLD
• HYBRID WORK ARRANGEMENTS WITH IN-PERSON OFFICE TIME TO COLLABORATE, INNOVATE AND BUILD RELATIONSHIPS WITH YOUR COLLEAGUES
• PROMOTING AN INCLUSIVE, ACCESSIBLE ENVIRONMENT, WHERE ALL EMPLOYEES AND CUSTOMERS FEEL VALUED, RESPECTED, AND SUPPORTED.
• DEDICATED TO EMPLOYING A WORKFORCE THAT REFLECTS THE DIVERSITY OF OUR COMMUNITIES AND MEMBERS IN WHICH WE LIVE AND SERVE.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed