Data Scientist

Join Servus Credit Union - Canada’s Largest Credit Union! 

We are hiring for a full-time Data Scientist to join our Data Analytics Team! 

Posting closes: March 13, 2026

Employment Status: Full-time; Remote First - with occasional travel to Vancouver or Edmonton

Additional Information: Candidate must reside, and be legally eligible to work, in Canada

For Internal Use Only/Role Grade: P4; C 

At Servus Credit Union, we do things differently—because we’re a credit union, not a bank. And that difference matters.  

We believe in putting people before profits, which is why our members are also our owners. Every dollar we earn is reinvested into the things that matter most: our members, our employees, and our communities. Whether it’s through profit sharing, competitive rates, or local initiatives that make a real impact, we’re here to help Albertans feel good about their money.  

We’re looking for passionate, values-driven people to join our team. We welcome individuals from all backgrounds who are aligned with our values and are eager to contribute in meaningful ways. If you're excited to grow your career with a team that’s innovative, hardworking, collaborative and deeply rooted in community, we want to meet you.  

 Join Servus and discover a better way to work.  

As a Data Scientist, reporting to the Director Data Science, you’ll  play a key role in helping the credit union achieve its strategic objectives through advanced analytics. You will design and implement innovative data-driven solutions to attract and retain members, enhance their experience, and build long-term loyalty. This role involves modeling complex problems, developing predictive systems, and uncovering opportunities using advanced analytics, machine learning, and data visualization techniques.

What You'll be Doing: 

• Advanced Analytics: Analyze a wide range of structured and unstructured data sets—including transactional, behavioral, social media, conversational, and survey data—to generate actionable insights.
• Predictive Modeling: Apply cutting-edge techniques such as machine learning, text and data mining, clustering, classification, regression, and discrete choice modeling to solve complex business problems.
• Data Integration: Combine internal member data with third-party sources to develop statistical models of behavior, experience, and brand health.
• Segmentation and Strategy: Drive refined segmentation strategies including persona development, market and branch profiling, profitability analysis, and channel optimization.
• Project Ownership: Lead end-to-end data science projects, from defining the scientific approach and project plan to delivering insights and solutions aligned with business goals.
• Stakeholder Collaboration: Partner with business leaders to understand challenges, define KPIs, and translate business needs into analytical solutions.
• Continuous Improvement: Stay current with evolving data science tools and methodologies to enhance capabilities and outcomes.

What you Bring: 

Required Qualifications and Experience

• Graduate degree in a quantitative field such as Statistics, Mathematics, Econometrics, Engineering, or equivalent practical experience.
• Relevant certifications (e.g., Databricks Machine Learning Associate or Professional, Lakehouse Fundamentals, Microsoft Azure Data Fundamentals).
• Hands-on experience in building, deploying, and managing predictive models using agile and MLFlow-based methodologies.
• Proficiency and experience working within Databricks and Microsoft Azure environments.
• Experience working within a Databricks ecosystem is desirable.

Key Competencies

• Communication: Confident public speaker with the ability to clearly convey complex analytical concepts to non-technical stakeholders.
• Analytical Thinking: Strong problem-solving skills with a track record of delivering innovative solutions.
• Collaboration: A team player who can build relationships across functions and contribute to a culture of cooperation.
• Adaptability: Comfortable in a dynamic environment with shifting priorities and emerging technologies.
• Leadership: Capable of leading projects and guiding others through the data science life cycle.
• Detail Orientation: Rigorous attention to accuracy, data integrity, and reproducibility.

Why Servus?   

Working for Servus has outstanding benefits. In addition to standard benefits like health and wellness, vacation and retirement savings programs, we also provide other important benefits such as:  

• Competitive compensation including performance-based incentive pay and profit share  
• Training & Development Opportunities 
• Career Advancement Potential  
• Flexible work options  
• Meaningful work towards individual and corporate goals   
• Opportunities to get involved and give back through an employee volunteer program  

At Servus, our employees are also members. This means you'll have all the benefits of being a member of the credit union including profit sharing, voting for the board of directors, and all of the financial services we provide…with a few additional perks! 

What happens next?  

We thank all applicants for their interest. Please note applications will only be accepted online and only those applicants under consideration will be contacted.  

At Servus Credit Union, we believe in being purposefully cooperative and working together to create a culture of Belonging for everyone. We are committed to an inclusive, equitable, and accessible workplace where everyone is valued, respected, and supported. We encourage applications from individuals of all backgrounds, and accommodations are available during every stage of the hiring process upon request. Your skills, passion and curiosity may find they belong at Servus, so even if you don't check every box, we encourage you to apply!  

Employment Eligibility: The selected candidate(s) must successfully pass a criminal background check, reference check and credit check to qualify for hire by Servus Credit Union. 

Qualified applicants are invited to apply online. 

We thank all applicants for their interest. Please note applications will only be accepted online and only those applicants under consideration will be contacted.  
 

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