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Added 4 hours ago
P
Digital Assurance & Transparency Senior Manager
PwC
Toronto, ON
- Full-time
…They evaluate compliance with regulations including assessing governance and risk management processes and related…
Added 5 hours ago
ZC
Machine Learning Engineer
Zurich Canada
Toronto, ON
- Full-time
…collaborate with Data Engineering, Data Science, Architecture, Governance, Security and business teams to turn data and AI opportunities into secure, reliable and production-ready…
Added 5 hours ago
ZC
Machine Learning Engineer
Zurich Canada
Waterloo, ON
- Full-time
…collaborate with Data Engineering, Data Science, Architecture, Governance, Security and business teams to turn data and AI opportunities into secure, reliable and production-ready…
Added 5 hours ago
C
Generative AI and Agentic Solutions Architect
CGI
Montreal, QC
- Full-time
Assess use cases and select the appropriate approach: deterministic processing, conventional software development, an LLM call, retrieval-augmented generation (RAG), or agent orchestration.
Added 9 hours ago
Director, Solutions Architecture - Enterprise Architecture (Chicago)
Fitch Group
Toronto, ON
Hands-On Contribution to Automated Governance: Build agents alongside the EA team - PR review, ARB submission support, technology evaluation - using your own experience with agent…
Added 10 hours ago
MC
AI Platform Engineer (35577)
Myticas Consulting
Toronto, ON
- Contract
Our Toronto Financial Client is seeking two AI Platform Engineers to support a large enterprise AI transformation program. The successful candidates will design, build, and operate AI…
Added 10 hours ago
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External Audit, Senior Associate (Bilingual FR/EN)
PwC
Montreal, QC
- Full-time
…valuable areas of client service and on enhancing corporate governance and the reliability of our clients’…
Added 10 hours ago
P
External Audit Manager (Bilingual FR/EN)
PwC
Montreal, QC
- Full-time
…valuable areas of client service and on enhancing corporate governance and the reliability of our clients’…
Added 10 hours ago
AI
Power Platform & GenAI Developer – Microsoft Power Apps, Power Automate, Copilot, AI/LLM
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Montreal, QC
- Full-time
Power Platform & GenAI Developer – Power Apps, Power Automate, Copilot, LLMs, AI Integration
Added 11 hours ago
A
Forward Deployed Technical Consultant-Snowflake: AI&Data Advanced Technology Centers
Accenture
Mississauga, ON · Montreal, QC
- Full-time
Implement tool-use orchestration, prompt engineering, and evaluation frameworks (LLMOps) for reliable, auditable AI agent behaviour.
Added 11 hours ago
A
Software Developer - Senior
Akkodis
Toronto, ON
- Contract
5+ years of ServiceNow platform experience, including 3-5 years in solution architecture and platform governance roles.
Added 11 hours ago
CT
Business Systems Engineer, AI
Canadian Tire Corporation
Oakville, ON · Toronto, ON
- Full-time
…at the intersection of business analysis, process design, AI agent development, and Atlassian platform…
Added 13 hours ago
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Data Scientist II
TD
Toronto, ON
- Full-time
Develop reusable agent capabilities, prompts, instructions, context, grounding approaches, and workflow integrations.
Added 15 hours ago
OS
Technical Product Owner
Open Systems Technologies
Montreal, QC
- Contract
Experience with Microsoft Dataverse, Power BI, connectors, APIs, solution packaging, environment strategy, role-based access, data loss prevention policies, or Power Platform governance.
Added 15 hours ago
C
Expert System Architecture - Google Cloud Platform and Gemini Entreprise-CA
CN
Toronto, ON
- Full-time
Act as the hands-on technical lead and architect for the enterprise Gemini Enterprise platform, including reference architecture, landing zone, configuration, operating standards, and…
Added 17 hours ago
AI Data Developer II, Professional Services, Google Cloud
Google
Toronto, ON
As a Data Developer, you'll guide customers on how to ingest, store, process, analyze, explore, and visualize data on Google Cloud Platform. You will lead data migrations and…
Added 20 hours ago
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Développeur natif à l’IA (agentique et appliquée)
Accenture
Ottawa, ON
- Full-time
…cadre d’évaluation, et vous savez ce qui se passe lorsque votre agent tombe en panne à 2 h du matin, car vous l’avez déjà…
Added 20 hours ago
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Développeur natif à l’IA (agentique et appliquée)
Accenture
Toronto, ON
- Full-time
…cadre d’évaluation, et vous savez ce qui se passe lorsque votre agent tombe en panne à 2 h du matin, car vous l’avez déjà…
Added 1 day ago
RB
Principal AI Engineer, AI DLC Platform
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Toronto, ON
- Full-time
This role suits a technical leader who combines deep agentic-AI and platform engineering skill with the judgment to work with risk, governance and engineering partners and turn policy into…
Added 1 day ago
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Senior BI Platform Operations Engineer
Luxoft
Toronto, ON
- Contract
We are looking for a hands-on BI Platform Operations Engineer to provide production operational support, administration, maintenance, and technical troubleshooting for our enterprise…
Added 1 day ago
ZS
Power Automate with AI
Zodiac Solutions, Inc
Toronto, ON
- Full-time
Experience includes at least 2+ projects as a Technical Developer across Power Platform implementation, integration, automation, and AI agent development.
Added 1 day ago
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Principal AI Engineer, AI DLC Platform
RBC
Toronto, ON
- Full-time
This role suits a technical leader who combines deep agentic-AI and platform engineering skill with the judgment to work with risk, governance and engineering partners and turn policy into…
Added 1 day ago
C
Staff Backend Engineer | Remote, US & Canada
Cube
Canada
- Full-time
Cube is the financial intelligence platform built for the AI-era.
Added 1 day ago
E
Microsoft Copilot and AI Specialist
EllisDon
Mississauga, ON
- Full-time
…whether a need should be addressed through AI, automation, an agent, an existing platform capability, or process…
Added 1 day ago
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Lead Data Consultant, Manager
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Toronto, ON
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Data Scientist II

Toronto, ON, Canada

$81,600 - $115,200 CAD · Full-time

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Job details

Pay: $81,600 - $115,200 CAD
Job type: Full-time
Apply by: Oct 26, 2026
Experience: 3+ years of relevant experience in data science, advanced analytics, AI engineering, machine learning, or a related field.
Posting language: English
Posted: Oct 20, 2026

Original job description

Work Location:

Toronto, Ontario, 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 Summary
Help shape the next generation of Finance analytics and AI at TD.
Join Finance AI2 to turn complex financial data into actionable insights and build responsible, scalable AI and analytics solutions that help Finance teams make informed decisions. You will work with Finance business partners, TD Data teams, and technology stakeholders to identify high-value opportunities and translate them into trusted solutions.

As a Data Scientist, you will help design, develop, test, and operationalize generative AI, Copilot, and agentic solutions for Finance. The role combines AI solution development, prompt and context engineering, data preparation, evaluation, business insight, and stakeholder adoption. You will also contribute to the support and modernization of existing analytics workflows as the team transitions toward strategic platforms and reusable AI capabilities.

Key Accountabilities

Partner with Finance stakeholders to understand business challenges, identify high-value opportunities, and translate impactful questions into practical analytics and AI solutions.
Identify Finance use cases where generative AI, Copilot, or agentic solutions can improve decision-making, productivity, or user experience.
Design, prototype, test, and operationalize AI-powered solutions using approved enterprise platforms and trusted data sources.
Develop reusable agent capabilities, prompts, instructions, context, grounding approaches, and workflow integrations.
Define and apply evaluation methods for solution quality, accuracy, reliability, business relevance, and user adoption.
Prepare semantic models, metadata, and data foundations required for reliable AI and Copilot experiences.
Partner with business, TD Data, technology, risk, and governance stakeholders to move solutions from concept through controlled implementation.
Monitor deployed solutions, investigate issues, incorporate user feedback, and continuously improve performance.
Analyze complex datasets and use effective data visualization and storytelling to communicate insights, implications, and recommendations.
Support and modernize existing analytics and Alteryx workflows where required to maintain business continuity.
Collaborate across analytics, data, technology, and business teams to deliver sustainable solutions and strengthen knowledge-sharing.

Required Qualifications and Skills

3+ years of relevant experience in data science, advanced analytics, AI engineering, machine learning, or a related field.
Hands-on experience designing or developing generative AI, Copilot, or agentic solutions that address business problems.
Strong Python or PySpark and SQL skills for data preparation, solution development, integration, testing, and analysis.
Experience with prompt engineering, context design, retrieval or grounding techniques, and evaluation of AI-generated outputs.
Experience integrating AI solutions with enterprise data, APIs, tools, workflows, or analytics products.
Understanding of responsible AI, privacy, security, model risk, human oversight, and controlled deployment.
Experience analyzing complex datasets and translating technical findings into actionable business recommendations and data-driven decisions.
Strong business acumen, experimentation, problem-solving, data storytelling, communication, and stakeholder-management skills.
Ability to independently own assignments from problem definition through implementation, validation, operationalization, and handoff.
Undergraduate degree in computer science, engineering, mathematics, statistics, finance, or a related field, or equivalent practical experience.
Experience with Databricks, Microsoft Copilot, Copilot Studio, Power BI, semantic models, or comparable AI and data platforms is considered a strong asset.
Finance, accounting, banking, or broader financial-services experience is considered a strong asset.
Experience with Alteryx development, production support, or workflow modernization is considered a strong asset.

Additional Information

Work independently within a specialized analytics function and provide technical guidance where required.
Apply technical expertise and business acumen to complex operational issues and cross-functional initiatives.
Balance AI solution development, business insight generation, stakeholder partnership, analytics modernization, and project delivery priorities.
Contribute to a collaborative team environment through experimentation, cross-training, knowledge transfer, and shared delivery standards.
Generally reports to a Manager or Senior Manager.

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):

Sans Objet

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More about this job

Responsibilities

You will design, develop, and operationalize generative AI and agentic solutions to transform complex financial data into actionable insights. Additionally, you will collaborate with cross-functional teams to modernize analytics workflows and ensure the delivery of scalable, trusted AI capabilities.

Requirements

Candidates must have 3+ years of experience in data science, AI engineering, or a related field with strong proficiency in Python, PySpark, and SQL. An undergraduate degree in a quantitative field is required, along with hands-on experience in generative AI development and stakeholder management.

Skills

Python
PySpark
SQL
Generative AI
Prompt engineering
Data science
Machine learning
Data visualization
Stakeholder management
Problem-solving
Financial analysis
Alteryx
Databricks
Power BI
Copilot Studio
Semantic modeling

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
Generative AI
Finance Analytics
Python
PySpark
SQL
Prompt Engineering
Machine Learning
Databricks
Power BI
Alteryx
Copilot Studio
Semantic Models
Data Visualization
Stakeholder Management
Financial Services
Artificial Intelligence
Agentic Solutions
Data Preparation
Model Risk
Governance
Business Acumen
Analytics Modernization
Operationalization
Metadata
Grounding Techniques
Retrieval Techniques
Banking
Accounting
Storytelling

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