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Added 13 days ago
TI
Software Engineer (Data)
Themis Intelligence
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Strong programming skills in Python and TypeScript, with proficiency in SQL.
Added 13 days ago
TI
AI Engineer
Themis Intelligence
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Strong programming skills in Python and TypeScript, with an understanding of software development fundamentals.
Added 13 days ago
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Cybersecurity Specialist- Research and Scientist
Galent
Toronto, ON
- Contract
Strong development skills in Python (most important), along with Java, Node.js, Go, and C/C++
Added 13 days ago
Simulation Specialist - Power Systems
Ametek, Inc.
Winnipeg, MB
…platform. The Simulation Specialist/Engineer will collaborate with and provide assistance to others in the development team on a continuous…
Added 13 days ago
A
Python Developer- Gen AI
Ampstek
Montreal, QC
- Contract
Experienced Python Developer with 8+ years of expertise in building and deploying scalable enterprise applications using Python, Generative AI, Large Language Models (LLMs), LangChain, REST…
Added 13 days ago
TT
Senior SRE / Observability Engineer – IA & AI Ops - Bilingual
Tech Talent International
Montreal, QC
- $120,000 to $130,000 CAD / year
- Full-time
We currently have a role as an Senior SRE / Observability Engineer – IA & AI Ops - Bilingual with our large consulting client, working for a public sector, crown corporation in the Montreal…
Added 13 days ago
QW
AI Developer with Python
Quantum World Technologies Inc.
Toronto, ON
- Contract
8+ years of experience in software engineering, including strong proficiency in Python and exposure to AI/ML or Generative AI solutions.
Added 13 days ago
TI
CyberSecurity Specialist
Themesoft Inc.
Toronto, ON · North York, ON
- Contract
Strong hands-on software development skills, particularly Python, Java, Node, Go, C/C++ with experience in additional modern programming languages.
Added 13 days ago
C
Data Engineer
CDAI
Toronto, ON
- Full-time
We are a team of high performing problem solvers with the same vision: to drive the digital future in hospitality. As digital experts we are focused on building a diverse set of products…
Added 13 days ago
Staff Security Risk Analyst
Okta
Toronto, ON
…work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with…
Added 13 days ago
RA
Software Engineering Intern - Vehicle Controls (January - August 2027)
Rivian and Volkswagen Group Technologies
Remote, Canada
- $30 to $33.75 CAD / hour
- Internship
- Remote
Write production quality code in C or C++, with Python used for test tooling
Added 13 days ago
FF
Senior Penetration Tester
Forward Financing
Remote, Canada
- $145,000 to $183,000 USD / year
- Full-time
- Remote
Experience with modern programming languages such as Ruby, Python, TypeScript, or Go, and with secure SDLC practices.
Added 13 days ago
Security Software Engineer
Motive
Canada
Strong programming experience with Python, Go, JavaScript, or a similar language.
Added 13 days ago
TC
Chatbot Content Developer
Tata Consultancy Services
Toronto, ON
- $90,000 to $130,000 CAD / year
- Full-time
…clients, investors, employees, and the communities it serves. With a highly skilled workforce supporting customers from coast to coast, TCS has consistently been recognized as a Top…
Added 13 days ago
C
Senior AI Analyst (T & I) (Telework/Hybrid)
CBC/Radio-Canada
Montreal, QC
- Full-time
Strong proficiency in Python, TypeScript or Java, together with an outstanding capacity for continuous learning.
Added 13 days ago
TC
Quality Engineer / SDET – AI Chatbot Validation
Tata Consultancy Services
Toronto, ON
- $90,000 to $130,000 CAD / year
- Full-time
Experience with Python, Selenium, Playwright, PyTest, or similar tools.
Added 13 days ago
S
Data Engineer - Canada Region
Slalom
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Slalom is a fiercely human business and technology consulting company that leads with outcomes to bring more value, in all ways, always. From strategy through delivery, our agile teams…
Added 13 days ago
B&
Database Administrator
Butterfield & Robinson
Toronto, ON
- Full-time
Solid Python skills, particularly for data handling – experience with: NumPy, Pandas, Matplotlib a strong asset.
Added 13 days ago
S
Data Engineer - Canada Region
Slalom
Vancouver, BC · Greater Vancouver Metropolitan Area
- Full-time
Slalom is a fiercely human business and technology consulting company that leads with outcomes to bring more value, in all ways, always. From strategy through delivery, our agile teams…
Added 13 days ago
S
Data Engineer - Canada Region
Slalom
Calgary, AB
- Full-time
Slalom is a fiercely human business and technology consulting company that leads with outcomes to bring more value, in all ways, always. From strategy through delivery, our agile teams…
Added 13 days ago
Standard Products Support Co-op
Eclipse Automation
Cambridge, ON
…multiple industries. We combine advanced automation expertise with digital innovation to create smart, efficient, and sustainable manufacturing systems. Our global network includes…
Added 13 days ago
T
Data Scientist II
TD
Toronto, ON
- Full-time
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.
Added 13 days ago
Staff Software Developer, Full Stack (Provider Experience)
Dialogue
Toronto, ON · Montreal, QC
FullStack Mastery: Deep proficiency in React/React Native and Python (or similar backend languages), with the ability to navigate the entire stack with ease.
Added 13 days ago
E
Developpeur logiciel de produits etudiant
Ericsson
Montreal, QC
- Full-time
Familiar with at least one programming/scripting language (Python, Shell/Bash).
Added 13 days ago
IG
Project Manager - Finance
Infotree Global Solutions
Montreal, QC
- Contract
Ensure compliance with all relevant regulatory requirements and internal standards related to model risk management under the guidance of the Head of RISK IRC Americas.

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
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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