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Director Data Science
Servus Credit Union
- Edmonton, Alberta, Canada
- Edmonton, Alberta, Canada
À propos
We are hiring for a full-time Director Data Science to join our Data Analytics Team
Posting closes: February 22, 2026
Employment Status: Full-time; Remote First
Additional Information: Strong preference given to Alberta-based applicants
For Internal Use Only/Role Grade: M3; 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 the Director Data Science, reporting to the Head of Data Analytics, you'll be responsible for expanding and optimizing Servus' use of machine learning and predictive modelling across the enterprise to enhance member experience and improve business outcomes. In this role, you will identify opportunities, set objectives and prioritize initiatives while managing successful implementation and operations. This role entails substantial department and enterprise managerial responsibilities, including leadership of a team of experienced data scientists and engineers.
What You'll Be Doing
Lead the development and implementation of Servus' overall data science strategy and roadmap.
Oversee the design, development, and deployment of machine learning models and algorithms to increase member cross sell, reduce expenses and manage risk.
Envision, implement and scale Servus' Next Best Opportunity (NBO) program delivering personalized, relevant and timely offers to members across all of Servus' distribution channels
Partner with distribution and technology teams to deliver models and recommendations seamlessly to front line staff and self-serve channels.
Build relationships with business owners and teams throughout Servus to identify opportunities and build alignment to increase enterprise adoption and program effectiveness
Establish and continually improve ML Ops processes and best practices to automate workflows and improve operational efficiencies
Monitor algorithm performance both at the individual model and overall program levels to optimize performance and manage model risk
Create innovative new approaches to understand and predict member needs and behaviors using member transactional, digital and sentiment data in combination with external and other relevant data.
Mentor, lead, coach and develop a team of experienced data scientists and engineers, providing guidance, and helping team members achieve both individual and organizational success.
Provide thought leadership and support on data governance and model risk management practices within the organization.
What You Bring
Bachelor's degree or higher in a related field.
15+ years' experience in data science. Banking experience highly preferred
8+ years of people leadership experience with a focus on developing high-performing teams, cultivating a culture of excellence and achieving operational efficiency
Extensive familiarity with machine learning tools, processes and best practices. Familiarity with Databricks is an asset
Demonstrated track record of optimizing full portfolio of models and algorithms
Strong communication and interpersonal skills, with the ability to effectively convey complex data insights to non-technical stakeholders.
Proven history of building alignment and effective collaboration with cross department leaders
Innovative mindset focused on building departmental and organizational capabilities in line with advances in technology, artificial intelligence and industry best practices
Other Role Requirements
Location: Remote, with expected quarterly travel to Servus offices in Edmonton or Calgary
Why Servus?
Benefits
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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Compétences linguistiques
- English
Avis aux utilisateurs
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