At a Glance
- Tasks: Shape client understanding through innovative data science and build impactful measurement models.
- Company: Join Purpose Unlimited, a forward-thinking financial services company focused on customer-centric innovation.
- Benefits: Enjoy competitive pay, flexible work options, health benefits, and generous vacation days.
- Other info: Work in a dynamic environment with opportunities for personal and professional growth.
- Why this job: Be a key player in transforming how we understand clients and drive real change.
- Qualifications: Strong skills in Python, SQL, and experience with predictive modeling required.
The predicted salary is between 135000 - 165000 $ per year.
Purpose Unlimited is an independent financial services company with an unrelenting focus on customer-centric innovation, delivered through technology-driven solutions. Led by entrepreneur Som Seif, the company is developing a diversified product platform aimed at addressing historically underserved segments of the market. Purpose Unlimited’s businesses include Purpose Investments, Advisor Solutions by Purpose, and Driven.
Who you are
Customer behavior is a signal. Most companies collect it. Few know how to read it. You will be one of the early data science hires shaping how Purpose understands the clients on our wealth platform — and how the platform responds to what we learn. You'll build the measurement architecture, behavioral models, and causal infrastructure that connects product decisions to client outcomes. This is a foundational role at a foundational moment. The intelligence layer you build will shape how Purpose designs, measures, and evolves its platform for years — and increasingly, how our AI systems understand and serve the clients who depend on us.
What AI does so you don't have to
- Recurring insight generation — automated analytics workflows run on schedule with defined guardrails. You design the system and own the governance.
- Boilerplate feature engineering — AI coding assistants accelerate pipeline construction from event data. You define what to build and review what the tools produce.
- First-pass segmentation refreshes — classification and scoring jobs re-run automatically. You set the standards and monitor for drift.
- Standard visualization and reporting — AI tools increasingly generate monitoring views from structured data. You define what signals matter.
What only you can do
- Determine what is worth measuring — in a platform generating thousands of behavioral signals, the most valuable judgment is deciding which three metrics actually reflect client value.
- Push back on attribution that flatters — you are the person who asks whether the relationship is causal, whether the experiment is valid, and whether the conclusion will hold when the business acts on it.
- Translate behavioral reality into a measurable operating model — starting from how clients actually make financial decisions.
- Design AI analytics systems with the rigor of a statistician — evaluating LLM-generated insights with the same calibration and drift standards you apply to your own models.
- Build the institutional trust that makes product and business leaders act on quantitative findings.
What you will own
- The client intelligence architecture: the measurement model that maps how clients discover, onboard, activate, and engage with Purpose's wealth platform.
- Behavioral models that change decisions: client segmentation, lifecycle classification, churn prediction, propensity scoring, and behavioral clustering.
- Causal measurement with discipline: experiment design and analysis, causal inference when experiments aren't possible.
- Agentic analytics governance: you set the standards for what AI-generated insight requires human review.
What you must bring
- Deep fluency in Python and SQL — owning work end-to-end from raw event data to deployed software.
- Proven experience building and evaluating predictive models in production-like settings.
- Applied causal inference — A/B testing, matching/propensity, diff-in-diff, regression discontinuity.
- Experience in a regulated industry (financial services, healthcare, or equivalent).
What will set you apart
- You've been early on a data science or analytics team and built measurement and modeling foundations before the playbook existed.
- You have experience evaluating LLMs or AI-generated outputs with statistical rigor.
- You've used AI-assisted development tools as a genuine productivity multiplier in data science workflows.
- You have applied behavioral economics or behavioral finance principles to how you designed metrics or interpreted client behavior.
What success looks like in your first year
- A measurement architecture is live — FOMs that connect platform activity to client outcomes are defined and being used by product and business leaders.
- At least two behavioral models are in production — churn prediction, propensity scoring, or lifecycle classification.
- Causal measurement is the standard — at least one major product or AI intervention has been evaluated with a valid causal method.
- The AI analytics layer has governance — the standards for what AI-generated insight requires human review are defined and documented.
- You've become the person that product and business leaders bring their hardest measurement questions to.
Every role at Purpose is assessed against our five values:
- Innovation– You bring new ideas, challenge the status quo, and find better ways of building.
- Courage– You speak up when something isn’t working, take difficult stands on technical quality.
- Owner’s Mindset– You take full accountability for your squad’s outcomes.
- Client Focus– You place client outcomes at the center of every architectural and delivery decision.
- Winning Through Individual and Collective Growth– You invest in your own development and actively contribute to the growth of every engineer around you.
We believe in innovation and a vibrant culture- work for an innovative, people-first, financial services firm that values entrepreneurialism. We believe in a flexible work structure– A flexible hybrid work model that empowers you to do your best work whether at home or the office. We care about your rewards- Competitive compensation including equity program. We care about your health– comprehensive group health and dental benefits and life insurance at little to no cost to you. We also offer a Lifestyle Spending Account for all your wellness needs. We care about your quality of life- flexible paid time-off policy with unlimited vacation days, and flexible sick and mental health days. We care about your family- Paid parental leave for eligible employees with a top-up. We care about your future– Generous Group RRSP matching and an optional TFSA program. We care about your development– We offer training opportunities and tuition support year-round.
Purpose Unlimited is an equal employer and we are dedicated to fostering an inclusive and barrier-free work environment for all employees and candidates. We encourage all qualified candidates to apply and if accommodation is required during any stage of the recruitment process, please contact any member of the People & Culture team. We thank all applicants for their interest; however, only those selected for interviews will be contacted. Our work philosophy is a hybrid model allowing for flexibility and collaboration. Applicants must be legally entitled to work in Canada. Immigration sponsorship is not offered for this role.
Staff Data Scientist in Winnipeg employer: Purpose Unlimited
At Purpose Unlimited, we pride ourselves on being an exceptional employer that values trust, collaboration, and personal growth. Our supportive work culture encourages continuous learning and development, ensuring that our Portfolio Managers not only meet their professional goals but also contribute meaningfully to client success. Located in a vibrant community, we offer unique opportunities for networking and engagement, making it an ideal place for those looking to make a positive impact in the investment sector.