Senior Data Scientist

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: 

The Senior Data Scientist will be a pivotal member of the Enterprise Data and Analytics Team, responsible for designing, 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.

What You'll Do:

Drive Data Science Practice and Leadership

• Lead, research, design, develop and implement advanced analytics
  and AI models
• Partner, collaborate and influence with data engineers, data
  analysts, and other stakeholders
• Develop GenAI and LLM models
• Drive and analyze large and complex, structured and unstructured data. Prepare AI-ready data models
• Provide technical leadership, guidance and mentorship to junior data scientists
• Ensure the accuracy and reliability of data science models, conduct peer reviews of AI and other predictive models
• Research and stay updated with the latest advancements in data science and AI technologies
  

Design and Decisioning:

• Drive and lead solution design, prioritization of work and deliverables, assessment, selection, and risk management of new and emerging technologies
• Advance AI and software programming, documentation and model transparency, peer reviews of models, tools and methodology recommendations, market analysis of available models, research, etc.
• Advance best practices and currency regarding the latest AI solutions and developments, availability of AI-ready data, infrastructure
• Collaboration: Work closely with data analysts, data scientists, and other stakeholders to understand and deliver on data requirements.
• Mentorship: Provide guidance and mentorship to Data team members.

What You Bring:

Technical Skills:

• Experience with machine learning frameworks and data mining techniques, nice-to-have:
  cloud computing
• Proficiency in a software programming languages, e.g., Python
• Advanced 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.
• Knowledge of programming languages such as Python or Java.
• Nice to have: Proficiency in Microsoft Azure, including Azure Data Factory, Azure Databricks, AI Foundry and Azure Synapse Analytics.
• Strong understanding of data warehousing concepts and best practices.
• Experience in developing and managing ETL pipelines.
  

Analytical Skills:

• Strong analytical and problem-solving skills with the ability to interpret complex data sets.

Communication:

• Excellent verbal and written communication skills, with the ability to convey technical
  information to non-technical stakeholders.

Collaboration:

• Proven ability to work collaboratively in a team environment and manage multiple
  priorities.
• Member Focus - Personally demonstrating that our Members are our highest priority.
• Proactive - Seize the initiative by anticipating needs and identifying opportunities to provide a
  higher level of service.
• Open Communication - Engaging in honest and transparent dialogue to develop mutual
  understanding, trust and cultivate deeper relationships.
• Business Savvy - Continuously acquiring the knowledge needed to do one's job to the fullest,
  using internal or external resources and applying the knowledge productively.
• Partner Orientation - Initiates opportunities for collaboration and maintains productive
  relationships to achieve shared goals.
• Integrity - Doing the right thing by always acting with openness, honesty and respect.

This role is for a newly created position. Internal candidates are being considered as part of our standard process.

Salary Range: CAD $79,100 – $118,700 annually

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.

Office Location:  Toronto Corporate Office with the ability to travel to our St. Catharines office as needed. This is a hybrid work opportunity.

Meridian has a remote work policy that allows flexibility for employees to work remotely but also requires a minimum of one day per week in the office for purposeful meetings to collaborate, innovate and build effective relationships with your team, your colleagues and your leader which is important to us.

What's in it for you?

• We have an inclusive and collaborative working environment that encourages teamwork, creativity, curiosity, and celebrates success
• We provide you with the tools and technology needed to delight your candidates and clients
• You will get to work with and learn from diverse industry leaders and colleagues, who have hailed from top organizations.
• Hybrid work arrangements with in-person office time to collaborate, innovate and build relationships with your colleagues.
• This is not your typical "corporate" job. We work hard and we have fun

Build the Future of Banking with Us

At Meridian, we're not just adapting to the future—we're shaping it. We see talent as a catalyst for sustainable growth, community impact, and future-readiness. As the financial landscape evolves, we're looking for team members who bring:

• 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.

Who we are:

Meridian is Ontario's largest credit union, and second largest in Canada, helping to grow the lives of our more than 380,000 Members. Meridian has more than 80 years of banking history and is 100% owned by its members. With 87 retail branches and 15 Business Banking Centers across Ontario and $ 32B in assets under management, Meridian offers a full range of financial products and services to its retail, business banking and wealth members. With over 2200 employees and corporate offices located in Toronto and St. Catharines, Meridian has a track record of creating and delivering innovative new offerings and is committed to investing in the communities that we serve.  Our plan is to build on our momentum as we deliver on our purpose - helping our members achieve their best life. 

Find our story here: About Meridian

Experience the Difference

Meridian committed to promoting an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to employing a workforce that reflects the diversity of our communities and Members in which we live and serve.

Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, or disability.

Please note that due to the volume of applications, only those under consideration will be contacted for an interview.

Thank you for your interest in Meridian Credit Union.

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