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An innovative fintech company is seeking a Senior Data Scientist to lead impactful analytical initiatives that shape products and strategies. This hybrid role in downtown Vancouver offers a dynamic environment where you'll mentor others, influence data architecture, and explore cutting-edge AI applications. With a competitive salary and comprehensive benefits, this position is ideal for those passionate about driving change in financial access for Canadians. Join a collaborative team dedicated to making a real difference in the industry.
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About Us
Spring Financial is revolutionizing financial access for Canadians, providing smart credit-building, mortgage, and lending solutions. Millions struggle with high-interest debt and limited financial options—we’re here to change that.
As one of Canada’s fastest-growing fintech companies, annually we help 1 million customers explore their financing options with ease—online, via text, or over the phone. Our dynamic, innovative team thrives on collaboration, growth, and making a real impact.
To learn more about our products please visit our website here: www.springfinancial.ca.
NOTE: This is a full-time, permanent, hybrid position in downtown Vancouver, with 3 set days in the office and 2 WFH.
As a Senior Data Scientist at Spring, you are a strategic thought partner and technical leader. You drive high-impact analytical and modeling initiatives that directly shape our products, strategy, and operations. You bring structure to ambiguous problem spaces, influence decision-making across the company, and help define best practices for how data science is done at Spring.
You lead cross-functional efforts that combine data exploration, experimentation, and machine learning. You balance technical depth with strong business judgment — helping teams understand not only what the data says, but what it means and what to do about it.
You proactively identify areas where AI and advanced analytics can unlock step-change improvements. You explore and validate use cases for LLMs, generative models, and intelligent automation — collaborating with product and ML teams to pilot and productionize solutions where appropriate.
You are a mentor and multiplier — helping others grow through design reviews, feedback, and shared tooling. You influence data architecture decisions and help shape a culture where analytical rigor and business outcomes go hand in hand.
Please note: Upon applying, our Talent Acquisition team will review your resume. If you qualify, we will reach out to learn more about your experience and answer any questions you may have about the role, benefits, compensation, and more. Due to high application volume, we may not be able to respond to everyone.
Thank you for your interest! We appreciate your time and look forward to reviewing your application!