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Added 1 month ago
PU
Staff Data Scientist
Purpose Unlimited
Remote, Canada
- Full-time
- Remote
Deep fluency in Python and SQL - owning work end-to-end from raw event data to deployed software, with production-grade testing and documentation standards.
Added 1 month ago
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Founding AI/ML Engineer
Taskclan
Remote, Canada
- Full-time
- Remote
Strong experience with Python, PyTorch and transformer-based models
Added 1 month ago
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AI Engineer - Canada
Pulsora
Remote, Canada
- $60,000 to $70,000 CAD / year
- Full-time
- Remote
We are seeking a highly skilled and experienced AI/ML Developer to join our team. The ideal candidate will be a specialist in the rapidly evolving field of Large Language Models (LLMs) and…
Added 1 month ago
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Thanks for visiting our Job Board. Please review our open positions and apply to the positions that match your qualifications.
Evertz
Burlington, ON
- Full-time
Python certification with experience is an asset
Added 1 month ago
OH
Software Developer – Business Systems & AI
O'Dell HVAC Group
Mississauga, ON
- Full-time
We are seeking a versatile Software Developer to join our technology team and help develop, maintain, integrate, and improve the systems that support our growing business. This is a broad…
Added 1 month ago
OM
Analyst, Data Science
Omnicom Media
Toronto, ON
- Full-time
…and promotional data. This is a great entry point for someone with a strong statistics background who wants to apply analytical skills in a fast-paced, client-service…
Added 1 month ago
AC
Data Engineer - AWS, Snowflake, DBT
Aviva Canada
Markham, ON
- Full-time
Hands-on experience in developing and maintaining automated workflows and system operations using Python and Apache Airflow, with a focus on streamlining processes and optimizing…
Added 1 month ago
AC
Data Scientist
Amaris Consulting
Montreal, QC
- Full-time
…solutions, including ML and Gen AI. The candidate should be familiar with Python development, predictive analytics, and prompt engineering, and should be able to work with different clients…
Added 1 month ago
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Optical Test Coop/Intern
Nokia
Ottawa, ON
- Full-time
Familiar with programmatic design principles and experience programming in MATLAB, Python, and/or C.
Added 1 month ago
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Senior Software Developer
Autodesk
Toronto, ON · AMER - Canada - Ontario - Toronto - University Ave
- Full-time
We are looking for a Senior Software Developer to help build the backend platform that powers these experiences. In this role, you will design and develop REST APIs, implement a flexible…
Added 1 month ago
Manager - Marketing Analytics
Enercare
Markham, ON
…frameworks, and actionable insights. The position partners closely with business and technical stakeholders to modernize analytics capabilities, improve data governance, and deliver…
Added 1 month ago
A
Senior Manager, GTM Data Science
Autodesk
Toronto, ON · AMER - Canada - Ontario - Toronto - University Ave
- Full-time
…expansion, and segmentation. The data science team partners closely with GDI program management, analytics, ML engineering, and GTM teams and their operational partners to create customer…
Added 1 month ago
TA
AI Engagement Lead
Tiger Analytics Inc.
Remote, Canada
- Full-time
- Remote
We are looking for an AI Engagement Lead / AI Engineering Pod Lead who can combine strong client and project leadership with hands-on expertise in AI/ML and Generative AI engineering. The…
Added 1 month ago
S
Forward Deployed Solution Engineer – Applied AI FDE
ServiceNow
Montreal, QC
- Full-time
Added 1 month ago
Lead Data Engineer
Ipsos
Vancouver, BC
…full-service research organization for four consecutive years. With over 75 different data-driven solutions, and presence in 90 markets, Ipsos brings together research, implementation,…
Added 1 month ago
Intern - Credit Risk, Winter 2027
EQ Bank | Canada's Challenger Bank
Toronto, ON
Hands on experience with programming languages such as PySpark, SQL, or Python.
Added 1 month ago
Business Systems Engineer, Intelligent Automation
Lyft
Toronto, ON
We're looking for a Workato/Boomi Integration Engineer to build and support enterprise automation, with a focus on Legal systems integration (CLM, e-signature, matter management,…
Added 1 month ago
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Data Science Co-op/Intern
Nokia
Ottawa, ON
- Full-time
Strong programming experience in Python and familiarity with software development, automation frameworks, APIs, and application design principles.
Added 5 months ago
AC
Guidewire Rating Developer
Aviva Canada
Markham, Ontario
- Full-time
As a Guidewire Rating Developer, you will contribute to the design, development, and maintenance of rating logic and rating‑related components within Guidewire PolicyCenter. You will…
Added 5 months ago
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Senior FPGA Design/Verification Engineer
Lumentum
Ottawa, Ontario
- Full-time
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
Added 5 months ago
DC
AI Software Developer - Intermediate
Delta Controls
Surrey, British Columbia
- Full-time
…Delta Electronics) is a leading building controls manufacturer with over 300 partners in more than 80 countries. For over three decades, we have provided innovative building automation…
Added 5 months ago
HC
Co-op Software Engineer - AI System & Infrastructure
Huawei Canada
Vancouver, British Columbia
- Internship
…existing cloud services while preparing for future challenges with appropriate technologies and architectures. Additionally, the lab aims to understand industry dynamics and technology…
Added 6 months ago
L
Sr. Staff Physical Design Timing Engineer (STA)
Lightmatter
Toronto, Ontario
- Full-time
Well versed with scripting languages like TCL and Python, PERL, or Shell
Added 5 months ago
TC
Unpaid Internship: FrontEnd REACT/JS Summer Internship 2026
The Commons XR
Remote, Canada
- Remote
…through our experiences on Friday AM to better align our data with AI…
Added 3 months ago
S
Senior Software Engineer in Test (SDET)
Solink
Remote, Canada
- $115,000 to $147,500 CAD / year
- Full-time
- Remote
At Solink, our mission is to safeguard what matters most. We provide businesses with the tools to know sooner and act faster by transforming video security into real-time operational…

Purpose Unlimited

Staff Data Scientist

Remote, Canada

Remote

Full-time

Apply About employer

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Job details

Job type: Full-time
Workplace: Remote
Posting language: English
Posted: Sep 10, 2026

Original job description

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. Vacancy Status: This is for a current vacancy Job Description 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. Not what looks like it works. What actually does. 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. You're an engineer as much as a scientist - you own the work from raw event data to deployed system, and you hold yourself accountable for whether it changed how the business operates. 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; you don't write the weekly summary. 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, you don't rerun the job. Standard visualization and reporting - AI tools increasingly generate monitoring views from structured data. You define what signals matter; the generation is handled. 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 and which are vanity. Push back on attribution that flatters - AI systems generate correlations at scale. 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, not from how the product team assumes they do. 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, including findings they didn't want. 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 - with FOMs that connect platform activity to real client outcomes. Behavioral models that change decisions: client segmentation, lifecycle classification, churn prediction, propensity scoring, and behavioral clustering - validated against real outcomes and governed for drift. Causal measurement with discipline: experiment design and analysis, causal inference when experiments aren't possible, and a consistent standard for what counts as evidence that a product or AI intervention actually worked. Agentic analytics governance: you set the standards for what AI-generated insight requires human review, what guardrails govern automated outputs, and how the intelligence layer stays accurate and auditable in a regulated environment. What you must bring Deep fluency in Python and SQL - owning work end-to-end from raw event data to deployed software, with production-grade testing and documentation standards. Proven experience building and evaluating predictive models in production-like settings: classification, survival models, segmentation, scoring, calibration, and cost-sensitive decision frameworks. Applied causal inference - A/B testing, matching/propensity, diff-in-diff, regression discontinuity. You know the difference between a valid experiment and a flattering one. Experience in a regulated industry (financial services, healthcare, or equivalent) - you treat data access controls, model auditability, and responsible use of customer data as core professional standards. 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 know what it means to make something from scratch that others depend on. You have experience evaluating LLMs or AI-generated outputs with statistical rigor: calibration, drift detection, bias assessment. You apply the same skepticism to AI outputs that you apply to your own models. You've used AI-assisted development tools (GitHub Copilot, Claude Code, Cursor, or equivalent) 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 - you think about why clients make financial decisions, not just what they do. What success looks like in your first year A measurement architecture is live - FOMs that connect platform activity to client outcomes are defined, instrumented, and being used by product and business leaders to make decisions they couldn't make before. At least two behavioral models are in production - churn prediction, propensity scoring, or lifecycle classification - with monitoring, documentation, and governance that any engineer on the team can maintain. Causal measurement is the standard - at least one major product or AI intervention has been evaluated with a valid causal method, and the findings have changed how the team approaches attribution. The AI analytics layer has governance - the standards for what AI-generated insight requires human review, and what guardrails govern automated output, are defined, documented, and in use. You've become the person that product and business leaders bring their hardest measurement questions to - because they trust that what you tell them reflects reality, including when reality is inconvenient. 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. You don’t wait for permission to experiment. Courage – You speak up when something isn’t working, take difficult stands on technical quality, and act with conviction even when it’s uncomfortable. Owner’s Mindset – You take full accountability for your squad’s outcomes. You treat the platform, the team, and the business as your own. 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. Why should you join us? We are one of Canada's Top Small & Medium Employers' 2023, 2024, 2025 & 2026. 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 at [email protected]. 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. We may use artificial intelligence technology to assist in screening, assessing, or selecting applicants for this position. Final hiring decisions are made by qualified human reviewers.

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More about this job

Responsibilities

The role involves building the client intelligence architecture and behavioral models to connect product decisions to client outcomes. You will design AI analytics systems, establish causal measurement standards, and govern automated insight generation.

Requirements

Requires deep fluency in Python and SQL with proven experience in predictive modeling and applied causal inference. Experience in a regulated industry like financial services and the ability to work end-to-end from raw data to deployed software is essential.

Skills

Python
SQL
Causal Inference
Predictive Modeling
A/B Testing
Client Segmentation
Churn Prediction
Propensity Scoring
Behavioral Clustering
LLM Evaluation
Experiment Design
Data Governance
Behavioral Economics
Statistical Rigor
Feature Engineering
Production-grade Testing

Benefits

Equity program
Comprehensive group health insurance
Dental benefits
Life insurance
Lifestyle Spending Account
Unlimited vacation days
Flexible sick and mental health days
Paid parental leave with top-up
Group RRSP matching
TFSA program
Training opportunities
Tuition support

Visa sponsorship

Not detected in the job text

Keywords

Data Science
Python
SQL
Causal Inference
A/B Testing
Machine Learning
LLM
Behavioral Finance
Financial Services
Predictive Modeling
Churn Prediction
Propensity Scoring
Segmentation
GitHub Copilot
Claude Code
Cursor
Data Governance
Calibration
Drift Detection
Bias Assessment
Regression Discontinuity
Diff-in-Diff
Matching
Event Data
Analytics Workflows
Client Intelligence
Wealth Platform
Regulated Industry
Statistical Rigor

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