Find work in Canada.

510,909 jobs across our Canadian network. How we count

Jobs in Canada

25+ jobs

Email me new jobs Save this search

Added just now
Asset Management Consultant
WSP
Toronto, ON
As an Asset Management Advisor, reporting to a regional team lead, you will be expected to actively contribute to our Canadian Asset Management Strategy, which is key to our WSP growth in…
Added just now
M
Director, Brand
Manulife
Halifax, NS · Toronto, ON · Waterloo, ON · Montreal, QC
- Full-time
Work with Digital Analytics, Research and Insights teams and external research partners to evaluate creative, media and campaign effectiveness, drawing on data to optimize delivery.
Added 15 mins ago
CU
Senior HR Advisor - Projects
Concordia University of Edmonton
AB · Edmonton, AB
- Full-time
Demonstrated ability to use HR technology, data analytics and emerging technologies, including generative AI tools, to improve HR processes and workflow efficiency is considered an asset.
Added 15 mins ago
S
Sr. Staff Technical Program Manager - Ads (Canada )
Shopify
Canada
- Full-time
Make data central to execution. Partner with Data Science, Analytics, and Engineering to define success metrics, establish instrumentation and reporting, evaluate experiments, identify…
Added 15 mins ago
C
Software Developer
Cisco
Ottawa, ON · Kanata, Ontario
- Full-time
…Cisco Catalyst Center. In this role, you will architect and lead the development of unified management solutions that bridge cloud-native Cisco Cloud Control environment with on-premises…
Added 29 mins ago
TU
Programmer Analyst II
The University of British Columbia
Vancouver, BC
- $8,810.92 to $13,202.5 CAD / month
- Full-time
…planning, implementation and operation of an enterprise-scale data integration solution for the University of British Columbia that transforms the processes and systems by which data is…
Added 1 hour ago
A
Loss Prevention Specialist, WWOS SLP
Amazon
Brampton, ON
- Full-time
…services and asset (lives, buildings, equipment, inventory, data, & intellectual property) protection in a designated building. The LPS reports to the Loss Prevention responsible for their…
Added 1 hour ago
S
Clinical Nurse Mentor
Sanya’k̓ula
Port Coquitlam, BC
- Full-time
Demonstrated ability to lead change and support staff through transition.
Added 1 hour ago
PH
Data Lead, BC Health Workday
Provincial Health Services Authority
BC · British Columbia, Canada
- Full-time
Reporting to the Manager, Integrations Architecture, the Data Lead is responsible for facilitating the end-to-end data migration process for Workday implementations for the BC Health…
Added 1 hour ago
A
Technical Program Manager-II, GO-AI
Amazon
Vancouver, BC
- Full-time
…Amazon's robotics operations, moving from traditional manual data annotation processes to state-of-the-art foundation model solutions. GO-AI's Technology & Development team is a…
Added 1 hour ago
B
Senior / Lead Product Manager - New Verticals
Baselane
Toronto, ON
- Full-time
Get close to customers. Lead hands-on research through interviews, workflow observations, surveys, and usability testing. Go beyond what customers say they want to uncover underlying…
Added 1 hour ago
G-
Human Resources Generalist
GFL - Sewer Technologies Division
Rocky View No 44, AB · Rocky View County, AB
- Full-time
Leverage HR metrics and operational data (turnover, absenteeism, overtime, safety incidents) to identify operational risks and recommend practical solutions to local leadership.
Added 1 hour ago
G
Team Leader, Client Solutions – Prairie Region (Pointe West Branch)
Gallagher
Winnipeg, MB
- Full-time
…believe that when businesses are protected, they’re free to grow, lead, and innovate. You’ll be backed by our digital ecosystem: a client-centric suite of consulting tools making it easier…
Added 1 hour ago
Systems Administrator 3
British Columbia Lottery Corporation
BC · Hybrid - Kamloops or Vancouver, BC
Takes a lead role in addressing complex incidents, leveraging enterprise monitoring and observability platforms to support troubleshooting, root cause analysis, and service restoration.
Added 1 hour ago
M
Marketing Lead, Brand & Revenue
MPOYNT
Toronto, ON
- $110,000 to $125,000 CAD / year
- Full-time
Lead a focused brand refresh, including logo, visual identity, positioning, and messaging.
Added 1 hour ago
S
Associate Customer Success Manager - French
ServiceNow
Montreal, QC
- Full-time
…reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow - helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native…
Added 1 hour ago
N
Growth Operations Manager
nesto
Montreal, QC
- Full-time
…required to wield influence to win challenging business cases and lead the change management for the changes you are implementing. Underpinned by a strong sense of ownership, your willpower…
Added 1 hour ago
OW
Oliver Wyman - Senior Lead AI Engineer
Oliver Wyman
Toronto, ON
- Full-time
…solutions that win. We modernize technology and harness value from data and analytics. We build resilience so our clients are ready for tomorrow’s risks and optimize operations for the…
Added 1 hour ago
P
Senior Analyst, Marketing Science
PHD
Toronto, ON
- Full-time
Lead a small team of Analysts and draw from wider Data Analytics resources within the organization, including Data Engineering
Added 1 hour ago
B
Finance Manager
BGIS
Markham, ON
- Full-time
Lead a review of existing finance and accounting processes to identify opportunities for streamlining or improving effectiveness of Client Reporting
Added 1 hour ago
BG
Precision Ag Specialist_CA
Brandt Group of Companies
Saskatoon, SK
- Full-time
…at the field level, driving technology adoption, supporting data services, and training store teams. This role promotes the latest solutions to improve customer operations and ensure…
Added 1 hour ago
T
Insights & Analytics Manager
Takeda
Toronto, ON · CAN - Toronto Head Office
- Full-time
The Manager, Insights & Analytics provides commercial decision support to the Canadian commercial organization, turning commercial, CRM, omnichannel, market, and customer data into insight…
Added 1 hour ago
S
Business Analyst III
Seaspan
North Vancouver, BC
- Full-time
Knowledge of Business Intelligence, reporting, analytics, and data-driven decision making.
Added 2 hours ago
A
Senior IT Auditor
Aviso
Toronto, ON
- $83,000 to $100,000 CAD / year
- Full-time
Lead and conduct audit engagements and follow-up reviews as determined by the internal audit plan. These may include system control reviews of business applications and IT infrastructure,…
Added 2 hours ago
TU
Programmer Analyst II
The University of British Columbia
Vancouver, BC
- $8,810.92 to $13,202.5 CAD / month
- Full-time
…planning, implementation and operation of an enterprise-scale data integration solution for the University of British Columbia that transforms the processes and systems by which data is…

Data Scientist II

Toronto, ON, Canada
Montreal, QC, Canada

$81,600 - $115,200 CAD · Full-time

Apply About employer

Applications open in a new tab.

Job details

Pay: $81,600 - $115,200 CAD
Job type: Full-time
Apply by: Oct 31, 2026
Experience: 3-5+ years of experience in data science, machine learning, statistical modeling, or advanced analytics.
Posting language: English
Posted: Oct 27, 2026

Original job description

Work Location:

Montréal, Quebec, Canada

Hours:

37.5

Line of Business:

Analytics, Insights, & Artificial Intelligence

Pay Details:

$81,600 - $115,200 CAD

TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.

As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.

Job Description:

Role Overview

The Data Scientist II will be responsible for developing, validating, and optimizing internal fraud and authentication models that support TD's objective of expanding proprietary risk capabilities and reducing reliance on external vendor models. The role covers the end-to-end model development lifecycle, including data discovery, feature engineering, experimentation, model evaluation, documentation, business impact assessment, and productionization support.

This is a hands-on development role with significant responsibility for presenting results and communicating with technical and non-technical stakeholders. The successful candidate will partner with Strategy, Engineering, Product, Data, Model Validation, and Risk teams to translate business challenges into scalable analytical solutions.

Key Responsibilities

Develop, validate, and optimize machine learning and statistical models for fraud detection, authentication, identity verification, account opening, account takeover, scam detection, and related risk use cases.

Lead end-to-end model development activities, including data discovery, exploratory analysis, data preparation, feature engineering, experimentation, model training, hyperparameter tuning, performance evaluation, and business impact assessment.

Evaluate internal models against vendor models and existing business strategies, using appropriate fraud and risk metrics such as capture rate, false-positive rate, lift, precision, recall, stability, and customer friction.

Build reproducible and well-documented analytical workflows using Python, SQL, and enterprise data platforms, and support implementation and productionization with Engineering, FICO, MLOps, and platform teams.

Perform model monitoring, stability and segmentation analysis, performance diagnostics, and issue investigation to identify degradation, data gaps, and remediation actions.

Prepare model documentation and analytical evidence for Model Validation, Model Risk Management, governance reviews, approvals, and lifecycle management.

Analyze customer, authentication, and fraud behaviour to identify emerging trends, risk gaps, feature opportunities, and areas where internal models can improve detection coverage.

Prepare and deliver executive-ready presentations, technical documentation, reports, and business impact summaries for technical and non-technical audiences.

Lead cross-functional discussions to align stakeholders on data requirements, model scope, success criteria, risks, dependencies, timelines, implementation considerations, and next steps.

Contribute to continuous improvement of internal modeling standards, reusable analytical frameworks, development practices, and proprietary fraud and authentication capabilities.

Qualifications Required

Undergraduate or graduate degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related quantitative field.

3-5+ years of experience in data science, machine learning, statistical modeling, or advanced analytics.

Strong hands-on proficiency in Python, SQL, machine learning, statistical analysis, feature engineering, and data visualization.

Experience developing and evaluating predictive models in a business or production-oriented environment.

Strong presentation, written communication, and stakeholder management skills.

Ability to explain technical methods, model results, limitations, and business impact to different audiences.

Ability to independently manage development activities across multiple initiatives in a fast-paced environment.

Preferred / Strong Assets

Previous experience with Model Validation (MV), model risk, model governance, or independent model review processes.

Experience in fraud analytics, authentication, cybersecurity, financial crime, identity verification, or digital banking.

Experience developing fraud, risk, or customer behaviour models using highly imbalanced datasets.

Experience with Azure Databricks, Azure Machine Learning, MLOps pipelines, Streamlit, FICO platforms, or other cloud-based analytics environments.

Experience supporting model implementation, production deployment, performance monitoring, and lifecycle management.

Familiarity with graph analytics, network analysis, or advanced AI techniques is an asset.

modeling capabilities.

Who We Are:

TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we strive to make every interaction, product, and experience remarkably human and refreshingly simple for over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to foster deeper relationships, ensure disciplined execution, and build a simpler, faster banking experience. TD is deeply committed to being a leader in client experience, that is why we believe that all colleagues, no matter where they work, are client facing. Together, we are reimagining what banking can be for our clients, colleagues and communities.

Our Total Rewards Package
Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical, and mental well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs. Learn more

Additional Information:
We’re delighted that you’re considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we’re committed to providing the support our colleagues need to thrive both at work and at home.

Please be advised that this job opportunity is subject to provincial regulation for employment purposes. It is imperative to acknowledge that each province or territory within the jurisdiction of Canada may have its own set of regulations, requirements.

Colleague Development

If you’re interested in a specific career path or are looking to build certain skills, we want to help you succeed. You’ll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities.

If you’re passionate about helping clients and building deep, lasting relationships, TD offers diverse career paths where you can grow your expertise and make a meaningful impact.

We're committed to your success and foster a respectful workplace where diverse perspectives are valued, everyone has fair opportunities to grow, and you can unlock your full potential to achieve your career goals. Here at TD, we hire and develop the best.

Training & Onboarding
We will provide training and onboarding sessions to ensure that you’ve got everything you need to succeed in your new role.

Interview Process
We’ll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.

Accommodation
Your accessibility is important to us. Please let us know if you’d like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.

We look forward to hearing from you!

Language Requirement (Quebec only):

Maîtrise d’une langue autre que le français pour offrir du soutien ou traiter avec des employés ou des collègues qui ont besoin de services et de soutien dans une langue autre que le français.

Apply About employer

More about this job

Responsibilities

The Data Scientist II will develop, validate, and optimize machine learning models for fraud detection and authentication to enhance risk capabilities. This role involves managing the end-to-end model lifecycle, from data discovery and feature engineering to productionization and stakeholder communication.

Requirements

Candidates must hold an undergraduate or graduate degree in a quantitative field and possess 3-5+ years of experience in data science or statistical modeling. Strong proficiency in Python, SQL, and predictive model development in a business environment is required.

Skills

Python
SQL
Machine learning
Statistical modeling
Data science
Feature engineering
Fraud detection
Authentication models
Data visualization
Predictive modeling
Stakeholder management
Model validation
Risk management
Azure Databricks
MLOps
Cybersecurity

Benefits

Health and well-being benefits
Savings and retirement programs
Paid time off
Banking benefits and discounts
Career development
Reward and recognition programs

Visa sponsorship

Not detected in the job text

Keywords

Data Science
Machine Learning
Statistical Modeling
Python
SQL
Fraud Detection
Authentication
Risk Management
Feature Engineering
Azure Databricks
Azure Machine Learning
MLOps
FICO
Model Validation
Data Visualization
Cybersecurity
Financial Crime
Identity Verification
Predictive Analytics
Model Governance
Streamlit
Graph Analytics
Network Analysis
Artificial Intelligence
Business Impact Assessment
Data Discovery
Hyperparameter Tuning
Performance Evaluation
Stakeholder Management
Analytical Workflows

Report this job