Data Scientist

Meridian Credit Union; Toronto; Hybrid; CAD 69,000 - 100,000; Full time

Benefits offered by this job

Hybrid work arrangement

Remote work policy

Job summary

Meridian Credit Union is seeking a Data Scientist for a 12-month contract to advance AI and analytics across the Enterprise Data and Analytics Team. You will build models, prepare AI-ready data, and collaborate with data engineers and analysts to deliver robust data solutions across the organization.

The role requires experience with ML frameworks, Python, SQL, and Power BI, with strong analytical and communication skills.

Qualifications

• Experience with machine learning frameworks and data mining techniques; cloud computing is a plus.
• Proficiency in Python; knowledge of Java is beneficial.
• Strong SQL and data visualization skills; familiarity with Power BI and modern data integration tools.

Responsibilities

• Develop models to support AI and automation use cases across Meridian.
• Develop GenAI and LLM models with guidance from senior team members.
• Collaborate with data engineers, data analysts, and stakeholders to deliver AI-ready data models.
• Analyze large and complex data sets to prepare AI-ready data models.
• Ensure accuracy and transparency of AI/predictive models through reviews.

Skills

Machine learning frameworks

Python

SQL Server / T-SQL

Power BI

MS Fabric

Azure Databricks

Azure Synapse Analytics

ETL pipelines

Data warehousing concepts

Data mining

Cloud computing

Education

Bachelor's degree in a related field

Tools

Python

Java

Job description

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 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 opportunity 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 Meridian

The 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 & Documentation

• 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

AI and Data Science research and development

• 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

Knowledge, Skills, and Experience:

• Experience with machine learning frameworks and data mining techniques, nice-to-have: cloud computing
• Proficiency in a software programming languages, e.g., Python
• Knowledge 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.
• Strong 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- $100,000

Compensation 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 world
• Hybrid work arrangements with in-person office time to collaborate, innovate and build relationships with your colleagues