We are redirecting you to the source. If you are not redirected in 3 seconds, please click here.

Data Scientist at Servus Credit Union. Posting Closes: . August 8, 2025 end of day. Additional Information: . Candidates must reside in Western Canada with occasional travel to Vancouver / Edmonton. Servus is growing! We are currently looking for a . Data Scientist . in our . Data Analytics Department!. Servus Credit Union is Alberta's largest member-owned credit union, known for building strong, resilient communities by helping our members feel good about their money. One of Canada's Best Managed Companies for 20 consecutive years and ranked as one of the top banks in Canada on Forbes World’s Best Banks list for two years in a row, we are a team of smart, gutsy, and driven individuals.  . Reporting to the Leader, Data Science, the Data Scientist will 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.. In this position, you will support and provide leadership to the Data Analytics team members, and other internal departments and stakeholders. The Data Scientist takes ownership, and delivers on, cross- functional projects that have been assigned. You'll bring the ability to acquire and understand business needs - question and translate them into an effective analytics plan, execute the analysis, and then translate the findings into strategic insights and provide actionable recommendations. . The scope of your responsibilities will include, but are not limited to: . . . 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.. . Key Competencies. . . Communication:. 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.. . To qualify, you will need at least the following:. . Graduate degree in a quantitative field such as Statistics, Mathematics, Econometrics, 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.. . Most importantly, we're looking for candidates who align with our values. We live our values in how we do business. We're not afraid to be different – in fact, we embrace our differences. We have a spirit that motivates us to give our best service to members every day. It's our values that attract many people to Servus – and keep them with us. We embrace our culture and heritage, and we pride ourselves on our strong commitment to the communities we serve and our efforts to build and maintain member loyalty. If this sounds like you, then we encourage you to apply. Company Location: Canada.