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Lead Applied AI and Data Scientist | Copperleaf

Job in Vancouver, BC, Canada
Listing for: IFS
Full Time position
Listed on 2026-09-03
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Data Scientist, Data Engineering
Salary/Wage Range or Industry Benchmark: 113000 - 152000 CAD Yearly CAD 113000.00 152000.00 YEAR
Job Description & How to Apply Below
Position: Lead Applied AI and Data Scientist | IFS Copperleaf

Lead Applied AI and Data Scientist | IFS Copperleaf

Full-time

IFS is a billion-dollar revenue company with 7000+ employees on all continents. Our leading AI technology is the backbone of our award-winning enterprise software solutions, enabling our customers to be their best when it really matters–at the Moment of Service™. Our commitment to internal AI adoption has allowed us to stay at the forefront of technological advancements, ensuring our colleagues can unlock their creativity and productivity, and our solutions are always cutting-edge.

At IFS, we’re flexible, we’re innovative, and we’re focused not only on how we can engage with our customers but on how we can make a real change and have a worldwide impact. We help solve some of society’s greatest challenges, fostering a better future through our agility, collaboration, and trust.

We celebrate diversity and understand our responsibility to reflect the diverse world we work in. We are committed to promoting an inclusive workforce that fully represents the many different cultures, backgrounds, and viewpoints of our customers, our partners, and our communities. As a truly international company serving people from around the globe, we realize that our success is tantamount to the respect we have for those different points of view.

By joining our team, you will have the opportunity to be part of a global, diverse environment; you will be joining a winning team with a commitment to sustainability; and a company where we get things done so that you can make a positive impact on the world.

We’re looking for innovative and original thinkers to work in an environment where you can #Make Your Moment so that we can help others make theirs. With the power of our AI-driven solutions, we empower our team to change the status quo and make a real difference.

If you want to change the status quo, we’ll help you make your moment. Join Team Purple. Join IFS.

The Opportunity

We are looking for a Lead Applied AI and Data Scientist to establish and lead the applied AI & data science practice, a new capability within IFS Copperleaf’s AI Engineering & Transformation pillar. This is the applied-science engine beneath our AI products: the discipline of models, data, evaluation, and tuning that makes every AI capability work, and it is largely yours to build.

IFS Copperleaf’s mission is to make every capital decision explainable, defensible, and agentic, moving our platform from a system of record to a system of action. The Lead Applied AI and Data Scientist will build and advance the models and machine-learning methods, data pipelines, evaluation and tuning frameworks, and monitoring that power that mission across our AI products today and the broader roadmap ahead, including richer agentic capabilities and orchestration.

Reporting to the Senior Director, AI Engineering & Transformation, you will be the Champion for the cell and its technical and operational lead. Champions own the technical direction, standards, and craft of their cell; hiring, performance, and compensation accountability sits with the Senior Director. You will partner closely with development teams, lead through influence and hands‑on technical work, and demonstrate what a best‑in‑class AI engineering practice looks like.

This is a deliberately greenfield leadership role. You will define the methods, tooling, standards, and technical direction as the space develops, while remaining deeply hands‑on. Expect to move fluidly between building models yourself, guiding complex technical decisions, and building the discipline and capabilities around them.

About Applied AI & Data Science

The cell spans two complementary halves. The first is classical applied data science, including forecasting, anomaly detection, classification, clustering and similarity, correlation and causal analysis, and risk and signal modeling. The second is modern AI modeling and tuning including evaluating, fine‑tuning, grounding and optimizing large language models and agentic systems so our products behave predictably, defensibly, and at scale.

Both halves sit on the AI Foundation. Today that foundation includes a GenAI agent…

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