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Added 7 days ago
SM
RQ00241 – Software Developer – ETL – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Hybrid – 3 Days per Week Onsite
Added 7 days ago
MA
Senior Software Engineer
Milya AI
Montreal, QC
- Full-time
Voice & Ambient Pipelines: Build low-latency streaming audio infrastructure (WebSockets, WebRTC) with robust RAG, tool calling, and multi-agent routing.
Added 7 days ago
Senior Technical Solutions Manager, Billing, Google Cloud
Google
Waterloo, ON
Experience with web technologies (HTTP, HTML, DNS, TCP), experience reading code in a general-purpose language (e.g., Java, Python, Go) or system design, AI-assisted coding/debugging.
Added 7 days ago
AF
Principal, AI Agent Control & Governance
ATB Financial
Calgary, AB
- Full-time
…velocity is maximized while maintaining audit-ready alignment with OSFI regulatory expectations (Guideline E-23 Model Risk Management, E-21 Operational Risk), enterprise risk appetites, and…
Added 8 days ago
GS
Staff Site Reliability Engineer, Application
Guidewire Software
Toronto, ON
- Full-time
Software Engineering Acumen: A deep software engineering foundation, with the ability to write production-grade code in major languages like Python, Go, C++, C#, or Java with a strong…
Added 8 days ago
C
Applied Machine Learning Research Scientist
Cerebras
Toronto, ON
- Full-time
Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras, to deploy 750…
Added 8 days ago
SM
RQ00245 – Machine Learning Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
Work Arrangement: Hybrid – 3 Days per Week Onsite · Onsite Requirement: 3 days per week onsite
Added 8 days ago
SM
RQ00241 – Software Developer – ETL – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Hybrid – 3 Days per Week Onsite
Added 8 days ago
SM
RQ00244 – Data Science Developer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Hybrid – 3 Days per Week Onsite · Onsite Requirement: 3 days per week at the client's Toronto office
Added 8 days ago
E
Software Developer
Ericsson
Ottawa, ON
- Full-time
Experience with Linux and Python or Bash scripting.
Added 8 days ago
N
Sr AI Engineer
Nutrien
Saskatoon, SK
- Full-time
…culture of care and our core values: We put safety first. We act with integrity. We are stronger together. We deliver with…
Added 8 days ago
N
Sr AI Engineer
Nutrien
Calgary, AB
- Full-time
…culture of care and our core values: We put safety first. We act with integrity. We are stronger together. We deliver with…
Added 8 days ago
BP
Model Validator, Compliance
BNP Paribas
Montreal, QC
- Full-time
You’ll be required in the office at least three days per week, with one of those days being either a Monday or a Friday
Added 8 days ago
B
Senior Data Scientist
BDO
Calgary, AB · AB · Halifax, NS
- Full-time
Proficiency in programming languages such as Python, R, or Scala. Experience with SQL and NoSQL databases is essential.
Added 8 days ago
B
Senior Data Scientist
BDO
Vancouver, BC · Kitchener, ON · Oakville, ON · Ottawa, ON · Toronto, ON
- Full-time
Proficiency in programming languages such as Python, R, or Scala. Experience with SQL and NoSQL databases is essential.
Added 8 days ago
GP
Data Science Developer
Global Pharma Tek
ON · Ontario, Canada
- Contract
Strong hands-on experience with Microsoft Foundry/Azure AI Foundry, Azure Machine Learning, Azure AI services, and cloud-based AI solution development.Tech stack: Python, SQL, LLM, Power…
Added 8 days ago
SS
Senior Automation Engineer- Agentic AI
Sapphire Stream Technology
Toronto, ON · Greater Toronto Area, Canada
- Full-time
The ideal candidate is a hands-on software engineer with strong Python development skills, practical experience building AI agents, and a solid understanding of validation strategies, test…
Added 8 days ago
T
Application Engineer
TEEMA
Vancouver, BC
- $90,000 to $100,000 CAD / year
- Full-time
Experience with programming or scripting languages such as Python, C/C++, or Bash.
Added 8 days ago
S
AI Risk Management & AI Risk Engineering Consultant
Slalom
Toronto, ON · Greater Toronto Area, Canada
- Full-time
· Strong Python. You write maintainable, tested code for data handling, API integration, evaluation pipelines and automation, and you're comfortable working in someone else's codebase.
Added 8 days ago
GT
Business Analyst - Credit Cards Product Analytics & Insight
Global Technical Talent, an Inc. 5000 Company
Toronto, ON
- Contract
Hybrid - Currently one mandatory in-office day per week (Thursday), plus one Friday per month · There is potential for the requirement to increase to two in-office days per week, including a designated squad day
Added 8 days ago
FL
Software Engineer (AI Agents)
Fluent, LLC
Remote, Canada
- $130,000 to $155,000 CAD / year
- Full-time
- Remote
You are a builder who ships. You are strong in Python and SQL, you have put at least one LLM-powered application in front of real users, and you know the difference between a demo and a…
Added 8 days ago
AM
Machine Learning Resident - Client: ModeDi (12 month term)
Alberta Machine Intelligence Institute
Edmonton, AB
- Full-time
This is a paid Residency that will be undertaken over a twelve-month period with the potential to be hired by our client, ModeDi, afterwards (note: at the discretion of the client). The…
Added 8 days ago
A
Senior Software Engineer, Analytics and Reporting Solutions ⭐
Achievers
Toronto, ON
- Full-time
…work gets done. Our tech stack leverages microservices built with Python and Go, running on GCP and Kubernetes. We're creating smoother, smarter, and more delightful experiences for our…
Added 8 days ago
D
AWS AI Solution Architect
DEDICATTED
Canada
- Full-time
Experience with Python and modern AI application development frameworks.
Added 8 days ago
A(
Machine Learning Resident - Client: ModeDi (12 month term)
Amii (Alberta Machine Intelligence Institute)
AB · Edmonton, AB
- Full-time
This is a paid Residency that will be undertaken over a twelve-month period with the potential to be hired by our client, ModeDi, afterwards (note: at the discretion of the client). The…

BDO

Senior Data Scientist

Vancouver, BC, Canada
Kitchener, ON, Canada
Oakville, ON, Canada
Ottawa, ON, Canada
Toronto, ON, Canada

The expected range of compensation for this role is $77,000 to $117,000. · Full-time

Apply on bdo.wd3.myworkdayjobs.com About employer

Applications open in a new tab.

Job details

Pay: The expected range of compensation for this role is $77,000 to $117,000.
Job type: Full-time
Experience: 5+ years’ experience in building and deploying machine learning models in a production environment.
Posting language: English
Posted: Nov 5, 2026

Original job description

Putting people first, every day

BDO is a firm built on a foundation of positive relationships with our people and our clients. Each day, our professionals provide exceptional service, helping clients with advice and insight they can trust. In turn, we offer an award-winning environment that fosters a people-first culture with a high priority on your personal and professional growth.

Your Opportunity

BDO Canada is looking to onboard a Senior Data Scientist with the ability to work from anywhere in Canada. In this existing role, you will be responsible for collecting, analyzing, and interpreting large datasets to drive data-driven decision-making. In addition, you will collaborate with cross-functional teams & service lines to develop, enhance and implement ML predictive models, GEN AI, AI Agent solutions to facilitate in decision making, actionable insights thus achieving productivity and revenue gains and indirectly contributing to the organization's strategic goals.

Job Responsibilities:

Collect, clean, and transform large, complex datasets for analysis.
Build custom machine learning models and natural language processing systems using state-of-the-art techniques.
Leverage tools like TensorFlow, PyTorch, Kubernetes, and Nvidia Triton Servers to develop specialized large language models tailored to business needs.
Train, evaluate, and optimize models for accuracy, explainability, and ethical alignment.
Clearly communicate technical analysis and results to stakeholders using data visualizations, reports, and presentations.
Continuously monitor models and data pipelines in production to ensure quality and reliability.
Stay up to date on the latest advancements in deep learning, NLP, reinforcement learning, and other AI methods.

How do we define success for your role?

You demonstrate BDO's core values through all aspect of your work: Integrity, Respect and Collaboration
You understand your client’s industry, challenges, and opportunities; client describe you as positive, professional, and delivering high quality work
You identify, recommend, and are focused on effective service delivery to your clients
You share in an inclusive and engaging work environment that develops, retains and attracts talent
You actively participate in the adoption of digital tools and strategies to drive an innovative workplace
You grow your expertise through learning and professional development

Your experience and education

M.S. or Ph.D. in Computer Science, Data Science, or related quantitative field.
5+ years’ experience in building and deploying machine learning models in a production environment.
Expertise in Python data science libraries like Pandas, matplotlib, NumPy, and Scikit-Learn.
Proficiency in programming languages such as Python, R, or Scala. Experience with SQL and NoSQL databases is essential.
Knowledge graph
Use Git for version control and collaborative development, ensuring all code is well-documented and follows best practices.
Experience training custom transformer models like Llama and Mistral.
Knowledge of cloud platforms like Azure, AWS, or GCP for model deployment.
Strong verbal and written communication skills.
Passion for translating complex data into actionable insights.

The expected range of compensation for this role is $77,000 to $117,000. The advertised range represents the anticipated compensation for this position. The final offer may vary based on the successful candidate's qualifications, experience, specialized skills, and other business considerations.

Why BDO?

Our people-first approach to talent has earned us a spot among Canada’s Top 100 Employers for 2026. This recognition is a milestone we’re thrilled to add to our collection of awards for both experienced and student talent experiences.

At BDO, our people experience is guided by three core pillars - Do work with genuine care, Do what matters with purpose, and Do what’s next - shaping how we support our people, serve our clients, and grow together.

Our firm is committed to providing an environment where you can be successful in the following ways:

We enable you to engage with how we change and evolve, being a key contributor to the success and growth of BDO in Canada.
We help you become a better professional within our services, industries, and markets with extensive opportunities for learning and development.
We support your achievement of personal goals outside of the office and making an impact on your community.
We foster a collaborative, inclusive environment where your ideas are valued, and you can do your best work with genuine care and purpose
We encourage innovation and forward thinking, empowering you to embrace what’s next and help shape the future of our firm

Giving back adds up: Where company meets community. BDO is actively involved in our communities by supporting local charity initiatives. We support staff with local and national events where you will be given the opportunity to contribute to your community.

Total rewards that matter: We pay for performance with competitive total cash compensation that recognizes and rewards your contribution. We provide comprehensive benefits from day one, and a flexible personal time off policy. We’re committed to supporting your overall wellbeing and provide reimbursement for wellness initiatives that fit your lifestyle.

Everyone counts: We are committed to creating a workplace where employees can participate fully, contribute meaningfully and succeed without barriers. We are dedicated to fostering a workplace defined by respect, fairness, and a true sense of belonging for everyone. We recognize and celebrate the unique experiences, identities, and perspectives that each of us bring – and that these experiences strengthen how we work together. Our commitment extends to ensuring that our application process is both inclusive and accessible. If you require accommodation to complete the application process, please contact us.

Flexibility: All BDO personnel are expected to spend some of their time working in the office, at the client site, and virtually unless accommodations or alternative work arrangements are in place.

Our model is a blended approach designed to support the flexible needs of our people, the firm and our clients. It’s about creating work experiences that meet everyone’s needs and providing flexibility to adjust when, where and how we work to meet the expectations of our role.

Code of Conduct: Our Code of Conduct sets clear standards for how we conduct business. It reflects our shared values and commitments and includes guiding principles to help us make ethical decisions and maintain trust with each other, our clients, and the public.

BDO may use artificial intelligence enabled tools to support certain aspects of the recruitment process. While these tools assist our teams, our use of AI does not replace human decision making, and all employment-related outcomes are made by BDO personnel.

More information on BDO Canada’s Privacy Policy can be found here:

Ready to make your mark at BDO? Click “Apply now” to send your up-to-date resume to one of our Talent Acquisition Specialists.

To explore other opportunities at BDO, check out our careers page.

Apply on bdo.wd3.myworkdayjobs.com About employer

More about this job

Responsibilities

The Senior Data Scientist will collect, analyze, and interpret large datasets to drive data-driven decision-making across the organization. They will also collaborate with cross-functional teams to develop and implement machine learning models, generative AI, and AI agent solutions.

Requirements

Candidates must hold an M.S. or Ph.D. in Computer Science, Data Science, or a related quantitative field. A minimum of 5 years of experience in building and deploying machine learning models in a production environment is required.

Skills

Machine learning
Python
Natural language processing
TensorFlow
PyTorch
Kubernetes
Nvidia Triton Servers
SQL
NoSQL
Git
Llama
Mistral
Azure
AWS
GCP
Data visualization

Benefits

Comprehensive benefits
Flexible personal time off
Wellness reimbursement
Learning and development opportunities

Visa sponsorship

Not detected in the job text

Keywords

Data Science
Machine Learning
Artificial Intelligence
Generative AI
NLP
Python
Pandas
Matplotlib
NumPy
Scikit-Learn
R
Scala
SQL
NoSQL
Knowledge Graph
Git
Transformer Models
Llama
Mistral
Cloud Computing
Azure
AWS
GCP
Predictive Modeling
Data Pipelines
Deep Learning
Reinforcement Learning
Data Analysis
Model Deployment
Stakeholder Communication

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Jobs in Canada