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Added 8 days ago
M
Senior Java Full Stack Developer
Miratech
Toronto, ON
- Full-time
We are looking for a Senior Full Stack Developer to design, build and maintain both front-end interfaces and back-end systems, including APIs, microservices, databases and cloud…
Added 8 days ago
M
Senior Java Full Stack Developer
Miratech
Toronto, ON
- Full-time
We are looking for a Senior Full Stack Developer to design, build and maintain both front-end interfaces and back-end systems, including APIs, microservices, databases and cloud…
Added 8 days ago
A
Bioinformatics / Computational Biologist
Augmented
Toronto, ON
- Full-time
We are seeking a Bioinformatics/Computational Biologist to analyze complex biological datasets, develop and apply computational methods, and support research and development efforts through…
Added 8 days ago
EB
Data Scientist, Growth (12 month contract)
EQ Bank
Toronto, ON
- Contract
Strong proficiency in Python, Structured Query Language, statistical analysis, Spark or similar distributed technologies, and scalable data processing.
Added 8 days ago
M
Senior Java Full Stack Developer
Miratech
Toronto, ON
- Full-time
We are looking for a Senior Full Stack Developer to design, build and maintain both front-end interfaces and back-end systems, including APIs, microservices, databases and cloud…
Added 8 days ago
M
Senior Java Full Stack Developer
Miratech
Toronto, ON
- Full-time
We are looking for a Senior Full Stack Developer to design, build and maintain both front-end interfaces and back-end systems, including APIs, microservices, databases and cloud…
Added 8 days ago
IQ
Senior Data Engineer – Python & PySpark
Infinity Quest
Montreal, QC
- Contract
Strong Python programming and hands-on PySpark expertise
Added 8 days ago
C
Consultant, Databricks Developer
CIBC
Toronto, ON
- Full-time
…Factory, Informatica, Oracle DB, Cloud technologies (Azure), Python, SQL, CI/CD, GITHUB, Batch Job Scheduler. (Preferably Autosys), SFTP File transfers tools. Strong understanding of…
Added 8 days ago
M
Data Scientist II (6-Month Term, Potential Extension)
Metrolinx
Canada
- Full-time
Advanced knowledge and working experience with SQL, Python, PySpark / SparkR, ETL, Tableau, Power BI with distributed databases and complex data sets
Added 8 days ago
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Institutional Account Associate – Client Management & Analytics (Toronto)
PIMCO
Toronto, ON
- Full-time
Proficient in Microsoft Excel (including VBA) and in coding/querying languages such as Python and SQL
Added 8 days ago
HI
Senior Analyst, Investment Analytics and AI Automation
Hillsdale Investment Management Inc.
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Solution Development: Identify opportunities for automation and design, develop, and maintain automation and data solutions for recurring IIS workflows and institutional client…
Added 8 days ago
M
Senior Java Full Stack Developer
Miratech
Toronto, ON
- Full-time
We are looking for a Senior Full Stack Developer to design, build and maintain both front-end interfaces and back-end systems, including APIs, microservices, databases and cloud…
Added 8 days ago
B
Senior Application Developer/Engineer
Bevertec
Toronto, ON
- Contract
We’re looking for an experienced professional with strong software development, cloud engineering, and DevOps skills to build, deploy, and support enterprise applications.
Added 8 days ago
UC
Data Engineer
UniSysTech Consulting
Toronto, ON · Greater Toronto Area, Canada
- Contract
We are looking for a Data Engineer to design, build, and automate scalable data pipelines. In this role, you will leverage strong Python and SQL expertise to extract, transform, and load…
Added 8 days ago
S
Head of Data Systems (Google Stack)
Stacktics
Toronto, ON
- Full-time
Write complex SQL queries with multiple joins to automate and manipulate data extracts
Added 8 days ago
MM
Oliver Wyman - Software Developer - Data & Analytics (DNA) - Montreal
Marsh McLennan
Montreal, QC
- Full-time
· Expérience pratique récente avec Python et, idéalement, avec un autre langage serveur (C#, .NET, Java, Rust ou C++).
Added 8 days ago
T
TD Asset Management Investment Management Intern/Co-op (Winter 2027)
TD
Toronto, ON
- Full-time
Microsoft Access, Python/SQL/Coding skills, financial modelling
Added 8 days ago
LI
Maximo Developer
LanceSoft, Inc.
Calgary, AB
- Contract
Write and optimize SQL queries for data retrieval, validation, and troubleshooting.
Added 8 days ago
JG
Playwright QA Specialist
J&M Group
Toronto, ON
- Contract
Advanced SQL and database testing experience.
Added 8 days ago
C
Python Developer
Collabera
Toronto, ON
- $60 to $65 USD / hour
- Contract
Primary Technologies: Python, Databricks, Azure Functions, APIs, Azure SQL Database
Added 8 days ago
H
Machine Learning Engineer
Hays
Toronto, ON
- Contract
This role focuses on model development using Python and PyTorch, with a strong emphasis on ownership, experimentation, and practical impact on experiences used by millions of Canadians…
Added 8 days ago
H
Data & Analytics Architect
HRConnects
Toronto, ON
- Full-time
Hands-on experience with AWS data services, Databricks, Delta Lake, Python, PySpark, and SQL.
Added 9 days ago
UO
Scientific Data Specialist
University of Victoria
Victoria, BC
- Full-time
practical experience in Python, Matlab or experience developing data products using computational and data analysis/visualization tools in one or more of the following scientific…
Added 9 days ago
SC
Developpeur native IA/Python (Senior)
SII Canada
Montreal, QC
- Full-time
As part of its artificial intelligence initiatives, we are looking for an experienced Python, AI/ML and Generative AI professional to contribute to the design, development, integration and…
Added 9 days ago
GS
Developpeur native IA/Python (Senior)
Groupe SII
Montreal, QC
- Full-time
As part of its artificial intelligence initiatives, we are looking for an experienced Python, AI/ML and Generative AI professional to contribute to the design, development, integration and…

EQ Bank

Data Scientist, Growth (12 month contract)

Toronto, ON, Canada

Contract

Apply About employer

Applications open in a new tab.

Job details

Job type: Contract
Apply by: Nov 22, 2026
Posting language: English
Posted: Oct 23, 2026

Original job description

Join a Challenger

At EQ, we're remaking banking so every Canadian gets ahead, every day. Serving nearly 4 million Canadians from coast to coast, we offer a wide variety of financial services from banking and lending, to trust and credit union solutions.

We've been at this since 1970, challenging the conventions of traditional banking with smarter, faster, and more connected financial experiences.

What's kept us moving? The people behind it all: challengers who ask better questions, push back on old assumptions, and look for a better way forward.

If you're driven to help reshape how banking works for Canadians and the businesses that power our economy, this could be your next big opportunity.

We can’t wait to get to know you!

The Work

The Data Scientist, Growth leads the design, development, deployment, and operationalization of advanced analytics and machine learning solutions that support growth, customer experience, and commercial decision-making. The role translates ambiguous business problems into measurable data science solutions, with a focus on pricing, customer engagement, recommendation systems, experimentation, and model-driven decision support.

The role works across the full analytical lifecycle, from problem framing and exploratory analysis through model development, validation, deployment, monitoring, and production implementation. It also contributes to the modernization, migration, and scaling of machine learning assets and data workflows across cloud platforms and enterprise analytical environments.

The Core Responsibilities

Lead machine learning model development for growth initiatives, including pricing, customer engagement, recommendation systems, propensity modelling, net promoter score, and related decisioning use cases.

Design and maintain scalable data pipelines, feature engineering frameworks, and workflows for model training, scoring, monitoring, backtesting, and reporting.
Develop and evaluate experimentation frameworks, including A/B testing, holdout analysis, uplift measurement, causal inference, and incrementality measurement.
Perform feature engineering, model selection, validation, calibration, and performance monitoring.
Partner with product, engineering, analytics, marketing, and business teams to define success measures, prioritize opportunities, and operationalize model outputs.
Lead or contribute to migration and modernization of models, analytical assets, pipelines, and workflows, including the transition from Microsoft Fabric and Azure to Google Cloud Platform.
Assess model dependencies and recommend whether assets should be migrated, refactored, rebuilt, consolidated, or retired.
Design production-ready machine learning solutions, including deployment pipelines, automated retraining, monitoring, and performance tracking.
Apply software engineering, data engineering, and machine learning operations practices, including modular design, version control, testing, automation, reproducibility, documentation, and code quality.
Validate migrated or rebuilt solutions by reconciling data, features, model results, and business outputs.
Communicate model and experiment findings to technical and non-technical stakeholders.
Create reusable analytical frameworks, shared code libraries, notebooks, and production-ready assets.
Mentor team members and support knowledge transfer and analytical excellence.

Let's Talk About You

Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, Engineering, or a related quantitative field.

Six or more years of total experience in data science, machine learning, advanced analytics, or a closely related discipline.
Strong proficiency in Python, Structured Query Language, statistical analysis, Spark or similar distributed technologies, and scalable data processing.
Experience building, validating, deploying, monitoring, and governing machine learning models in production or production-adjacent environments.
Strong understanding of experimental design, hypothesis testing, causal inference, and measurement frameworks.
Experience with cloud analytical environments such as Google Cloud Platform, Microsoft Azure, Microsoft Fabric, Amazon Web Services, or similar platforms.
Working knowledge of Git-based development, code review, automated testing, dependency management, and continuous integration and deployment.
Experience with customer growth, personalization, pricing, recommendation systems, retention, or similar business applications.
Advanced analytical problem-solving and sound judgment in ambiguous situations.
Ability to explain technical information, trade-offs, migration risks, and insights to technical and non-technical audiences.
Ability to work independently, manage multiple priorities, and deliver high-quality work in a fast-paced environment.
Preferred: experience with cloud migrations, Vertex AI or equivalent capabilities, modern machine learning platforms, Docker, infrastructure as code, observability, orchestration, and automated retraining.

What we offer [For full-time permanent roles]

💰 Competitive discretionary bonus

✨ Market leading RRSP match program

🩺 Medical, dental, vision, life, and disability benefits

📝 Employee Share Purchase Plan

👶🏽 Maternity/Parental top-up while you care for your little one

🏝 Generous vacation policy and personal days

🖥 Virtual events to connect with your fellow colleagues

🎓 Professional development and comprehensive Career Development program

💛 A fulfilling opportunity to join one of the top FinTechs and help create a new kind of banking experience

The incumbent will be working hybrid and in office time will be spent working from EQ Bank’s additional office space located at 2200-25 Ontario Street, Toronto, ON.

Equity, Diversity & Inclusion

EQ is committed to building an inclusive, accessible environment where every employee feels valued, respected, and supported. We believe our organization is stronger - and our people thrive - when we honour and celebrate diverse experiences, identities, and perspectives. We’re equally committed to supporting your growth, both professionally and personally.

We provide a barrier‑free recruitment process and work environment. If you require accommodations at any stage, we will work with you to ensure you can bring your best self to the process and beyond.

As part of our recruitment process, EQ uses AI to help screen, assess, and/or select applicants for this position. All AI-enabled outputs are reviewed and validated by our talent team. All candidates considered for hire must successfully complete a criminal background check and credit check. While we appreciate every application, an EQ recruiter will contact only those whose skills and experience most closely match the requirements of the role.

EQB Inc. (TSX: EQB) is the parent company of Equitable Bank, the country's seventh-largest Schedule I bank by assets, which operates EQ Bank, Canada's Challenger Bank™. EQB Inc. serves nearly 4 million Canadians and manages approximately $150 billion in combined assets under management and administration.

To learn more, visit eqb.investorroom.com and eqbank.ca.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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More about this job

Responsibilities

Lead the development, validation, deployment, and monitoring of machine learning models and scalable data workflows for growth use cases such as pricing, customer engagement, recommendations, and propensity modeling. Design experimentation and measurement frameworks, support migration and modernization of analytical assets from Azure and Microsoft Fabric to Google Cloud Platform, and communicate findings while mentoring team members.

Requirements

Requires a bachelor’s or master’s degree in a quantitative discipline and at least six years of experience in data science, machine learning, or advanced analytics. Candidates should have strong Python, SQL, statistical analysis, distributed processing, production machine learning, experimentation, cloud platform, and Git-based development experience, with customer growth or personalization experience preferred.

Skills

Python
SQL
Machine Learning
Statistical Analysis
Spark
Data Engineering
Feature Engineering
A/B Testing
Experimental Design
Causal Inference
Model Validation
Model Deployment
Cloud Platforms
Git
Continuous Integration and Deployment
Customer Growth

Benefits

Discretionary Bonus
RRSP Matching
Medical Insurance
Dental Insurance
Vision Insurance
Life Insurance
Disability Benefits
Employee Share Purchase Plan
Maternity and Parental Top-Up
Vacation
Personal Days
Virtual Events
Professional Development
Career Development Program

Visa sponsorship

Not detected in the job text

Keywords

Data Science
Machine Learning
Advanced Analytics
Python
SQL
Spark
Google Cloud Platform
Microsoft Azure
Microsoft Fabric
Amazon Web Services
Vertex AI
Pricing
Customer Engagement
Recommendation Systems
Propensity Modeling
Net Promoter Score
A/B Testing
Holdout Analysis
Uplift Measurement
Causal Inference
Incrementality Measurement
Feature Engineering
Model Validation
Model Monitoring
Machine Learning Operations
Git
Automated Testing
Continuous Integration and Deployment
Docker
Infrastructure as Code

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