29 Sep
|
Meridian Credit Union
|
Toronto
29 Sep
Meridian Credit Union
Toronto
Why Meridian?At Meridian our aspiration is to integrate our purpose into everything we do for people, the planet, and communities. We believe that our greatest chance is to create opportunity and meet people where they are.Why Meridian?At Meridian our aspiration is to integrate our purpose into everything we do for people, the planet, and communities. We believe that our greatest opportunity is to create chance and meet people where they are.Factor us into your next career opportunity. We want you to grow with us and have an experience that's different. This is a place where you can expect the unexpected.Find our story here: About MeridianThe role: *Please note - this is a 12‐month contract opportunity*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.Key Responsibilities:AI Modeling & DocumentationDevelop models to support AI and automation use cases across MeridianDevelop GenAI and LLM models. Get direction from and technical guidance from more senior members of the teamWork closely with data engineers, data analysts, and other stakeholdersAnalyze large and complex, structured and unstructured data. Prepare AI-ready data modelsEnsure the accuracy and reliability of data science models, conduct peer reviews of AI and other predictive modelsAI and Data Science research and developmentResearch, code,
develop and implement advanced analytics and AI modelsResearch and stay updated with the latest advancements in data science and AI technologiesEnsure AI models have proper documentation and model transparency and that they adhere to responsible AI frameworkCollaboration: 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 feasibilityKnowledge, Skills, and Experience:Experience with machine learning frameworks and data mining techniques, nice-to-have: cloud computingProficiency in a software programming languages, e.G., PythonKnowledge of programming languages such as Python or Java.Nice-to-have: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.Robust understanding of data warehousing concepts and best practices.Experience in developing and managing ETL pipelines.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.This role represents an existing vacancy. Internal candidates are being considered as part of our standard process.Salary Range: CAD $68,800- $100,000Compensation for this role is based on a combination of skills, experience, and internal equity. Candidates with stronger alignment to the role's requirements may be placed higher within the range. Your recruiter will share more information about our total rewards package during the hiring process.Join us! This role is hybrid. Our offices are located at 3280 Bloor St W, Etobicoke, and 75 Corporate Park Dr, St. Catharines. Travel between these offices may be required, as well as occasional travel to branches.Meridian has a remote work policy that allows flexibility for employees to work remotely but also requires regular time in the office for purposeful meetings to collaborate, innovate and build effective relationships with your team, your colleagues and your leader which is very important to us.What's in it for you?We have an inclusive and collaborative working environment that encourages creativity, curiosity, and celebrates success!We provide you with the tools and technology needed to delight your candidates and clients!You'll get to work with and learn from diverse industry leaders, who have hailed from top organizations around the worldHybrid work arrangements with in-person office time to collaborate, innovate and build relationships with your colleagues
📌 Data Scientist (Toronto)
🏢 Meridian Credit Union
📍 Toronto