Director Data Science Job Edmonton area,Alberta Canada,IT/Tech

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

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…


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