Jobs in Canada

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Added 25 days ago
C
Lead AI/ML Data Scientist - VP
Citi
Mississauga, ON
- Full-time
Expert-level proficiency in Python (scikit-learn, TensorFlow, PyTorch, Pandas, NumPy), R (caret, tidyverse, mlr3), and SQL (PostgreSQL, Oracle, MySQL)
Added 25 days ago
ON
Business Intelligence Analyst
Ontario Northland
North Bay, ON
- $83,538 to $98,280 CAD / year
- Full-time
…120 years and strong connections to the communities we serve. With over 1200 skilled professionals, we work together to enhance transportation services and ensure that they are sustainable…
Added 25 days ago
C
Consultant, Databricks Developer
CIBC
Toronto, ON
- Full-time
You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit
Added 25 days ago
GR
Scada Engineer
Grand River Conservation Authority
Cambridge, ON
- $84,866 to $103,253 CAD / year
- Full-time
Must have good attention to detail and demonstrate analytical, problem solving and technical skills
Added 25 days ago
M
Analyste de Support à la Production / Production Support Analyst
mthree
Montreal, QC
- $75,000 to $90,000 CAD / year
- Full-time
Compétences en scripting : Perl, Python ou shell Unix
Added 25 days ago
AS
Full Stack Software Developer
Axelon Services Corporation
Montreal, QC
- $65.52 CAD / hour
- Other
Strong database experience, preferably with DB2, SQL Server, and PostgreSQL.
Added 25 days ago
B
Analyst, Investment & Corporate Banking Client Analytics
BMO
Toronto, ON · FCP
- Full-time
Familiarity with database design and queries (Oracle/SQL) with a desire to learn
Added 25 days ago
B
Analyst, Global Markets Client Analytics
BMO
Toronto, ON · FCP
- Full-time
Familiarity with database design and queries (Oracle/SQL) with a desire to learn
Added 25 days ago
R&
Data Analyst IV
Robertson & Company Ltd.
Toronto, ON
- Contract
Strong SQL skills with experience working with large and complex datasets
Added 25 days ago
D
Business System Analyst
Dexian
Toronto, ON · Greater Toronto Area, Canada
- $45 to $55 CAD / hour
- Contract
Strong SQL skills with experience working with large and complex datasets.
Added 25 days ago
GD
Principal Data & AI Engineer
General Dynamics Missions System International
Ottawa, ON
- $140,000 to $170,000 CAD / year
- Full-time
Strong development experience with SQL, Python, APIs, and data orchestration technologies.
Added 25 days ago
L
Business Analyst, Senior- Contract (Toronto, ON – Hybrid)
LifeLabs
Toronto, ON
- $81,431 to $103,825 CAD / year
…genetics lab, and the country's largest online patient portal, with more than 8 million Canadians receiving their results online. More than 112 million laboratory tests come through…
Added 25 days ago
A
Forward Deployed Engineer – AI, Data Engineering & MLOps / Toronto, ON (Onsite) - FTE
AceStack
Toronto, ON
- Full-time
We are seeking an experienced Forward Deployed Engineer with strong expertise in Python, PySpark, SQL, Claude, APIs, AI application development, and MLOps. The ideal candidate will work…
Added 25 days ago
TT
Data and AI Lead, Development and Governance
Tundra Technical Solutions
Mississauga, ON
- $120,000 to $130,000 CAD / year
- Full-time
Python, SQL, JavaScript or TypeScript, REST APIs, JSON, Git and CI/CD
Added 25 days ago
QW
Senior AI Developer
Quantum World Technologies Inc.
Mississauga, ON
- Full-time
Minimum of 8 years of software development experience, with strong hands-on experience in Python and relevant experience in AI/ML or Generative AI.
Added 25 days ago
Senior Manager, Credit Modeling and Strategy
Questrade Financial Group
Toronto, ON
Work-life balance in a hybrid environment with at least 3 days in office
Added 25 days ago
C
Sr. Manager, Application Development
CIBC
Toronto, ON
- Full-time
You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit
Added 25 days ago
B
Senior Manager, Counterparty Credit Risk Analytics
BMO
Toronto, ON · YNG
- Full-time
Programming skills (Python/SQL preferred) for analytics and automation
Added 25 days ago
P
Software Engineer, Test
Providius
Hamilton, ON
- $60,000 to $80,000 CAD / year
- Full-time
Programming or scripting experience, preferably with Python, Java, JavaScript, or TypeScript
Added 25 days ago
AS
Data Platform Engineer
AgileGrid Solutions
Canada
- Full-time
Advanced proficiency in SQL and Python for large-scale data processing and performance optimization.
Added 25 days ago
US
Python & SQL Developer - Montreal, QC - 3 Days Onsite per Week Mandatory
United Software Group Inc
Montreal, QC
- Contract
We are seeking a Python & SQL Developer with 5-8 years of experience in designing, developing, and supporting data-driven applications and solutions. The ideal candidate will have strong…
Added 25 days ago
JG
Counterparty Credit Risk Manager
JCW Group
Toronto, ON
- Full-time
Advanced knowledge of Power BI, Python, SQL, and Unix is an asset
Added 25 days ago
VI
Digital Analyst
VERB Interactive
Halifax, NS
- Full-time
Hybrid work arrangements (3 days in office per week for local employees)
Added 25 days ago
O
Analytics Intern
Orennia
Calgary, AB
- Volunteer
You have strong analytical ability including statistical methods and optimization concepts. Programming, database and software skills (Excel, VBA, Python, SQL) considered an asset.
Added 25 days ago
T
TD Asset Management Portfolio Analytics Developer Intern/Co-Op (Winter 2027)
TD
Toronto, ON
- Full-time
This is a hybrid work arrangement (Tuesday-Thursday in office)

Citi

Lead AI/ML Data Scientist - VP

Mississauga, ON, Canada

$120,800.00 - $170,800.00 · Full-time

Apply on citi.wd5.myworkdayjobs.com About employer

Applications open in a new tab.

Job details

Pay: $120,800.00 - $170,800.00
Job type: Full-time
Experience: 6+ years hands-on experience in AI/ML development and big data engineering within Financial Services, Insurance, or Telecom environments
Posting language: English
Posted: Oct 15, 2026

Original job description

About Citi:
Citi, the leading global bank, has approximately 200 million customer accounts and does business in more than 160 countries and jurisdictions. Citi provides consumers, corporations, governments, and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, transaction services, and wealth management.

As a bank with a brain and a soul, Citi creates economic value that is systemically responsible and in our clients’ best interests. As a financial institution that touches every region of the world and every sector that shapes your daily life, our Enterprise Operations & Technology teams are charged with a mission that rivals any large tech company. Our technology solutions are the foundations of everything we do from keeping the bank safe, managing global resources, and providing the technical tools our workers need to be successful to designing our digital architecture and ensuring our platforms provide a first-class customer experience. We reimagine client and partner experiences to deliver excellence through secure, reliable, and efficient services.

Our commitment to diversity includes a workforce that represents the clients we serve from all walks of life, backgrounds, and origins. We foster an environment where the best people want to work. We value and demand respect for others, promote individuals based on merit, and ensure opportunities for personal development are widely available to all. Ideal candidates are innovators with well-rounded backgrounds who bring their authentic selves to work and complement our culture of delivering results with pride. If you are a problem solver who seeks passion in your work, come join us. We’ll enable growth and progress together.

About the Team:

Citi is looking for a Lead AI/ML Data Scientist to join the Olympus Data Reconciliation and Engineering team, where you will shape the next generation of AI and machine learning capabilities powering enterprise-scale reconciliation across global processing hubs.

In this role, you will drive the full lifecycle of ML model development - from ideation and architecture through to deployment and adoption - delivering measurable impact across Capital Markets operations, risk, and finance. Your work will sit at the intersection of advanced data science and real-world financial systems, influencing outcomes at a global scale.

Responsibilities:

Design, build, and deploy AI and machine learning models - including Agentic AI and Generative AI solutions - to solve complex reconciliation and data engineering challenges at enterprise scale.
Lead the end-to-end ML model development lifecycle, from requirements gathering and data preprocessing through to ensemble modeling, validation, and production integration.
Analyze large volumes of structured and unstructured financial data to uncover trends, patterns, and opportunities for optimization across banking platforms.
Define and deliver ML model roadmaps in collaboration with technical and business teams, ensuring alignment with project timelines, budgets, and Citi's architecture standards.
Translate complex data findings into clear visualizations and strategic recommendations that inform decisions made by senior business and technology leaders.
Partner with engineering, operations, and cross-functional teams to ensure seamless model integration, long-term scalability, and reliable performance in production environments.
Identify and communicate technology risks and their business implications, developing mitigation strategies and maintaining transparency with stakeholders at all levels.
Maintain comprehensive model documentation and support knowledge transfer to ensure continuity and adoption across teams.

Required Qualifications & Skills:

Technical Expertise:

6+ years hands-on experience in AI/ML development and big data engineering within Financial Services, Insurance, or Telecom environments
Expert-level proficiency in Python (scikit-learn, TensorFlow, PyTorch, Pandas, NumPy), R (caret, tidyverse, mlr3), and SQL (PostgreSQL, Oracle, MySQL)
Deep technical knowledge implementing supervised and unsupervised ML algorithms: linear/logistic regression, neural networks (CNN, RNN, LSTM, Transformers), k-means clustering, DBSCAN, decision trees (CART, C4.5), and ensemble methods (Random Forest, XGBoost, LightGBM, CatBoost)
Proven experience building and deploying Agentic AI and LLM-based solutions using:
- LangGraph for complex agent orchestration and state management
- LangChain for chain-of-thought reasoning and retrieval-augmented generation (RAG)
- Agent Development Kit (ADK) for enterprise-grade autonomous agent development

Beneficial Skills & Qualifications:

Hands-on experience with advanced statistical modeling: Generalized Linear Models (GLM), Random Forest, Gradient Boosting (AdaBoost, XGBoost), and Natural Language Processing (NLP) techniques including text mining, topic modeling (LDA), and sentiment analysis
Experience with model versioning and experiment tracking tools (Mlflow, Weights & Biases, DVC)
Proficiency with Git/GitHub/Bitbucket for version control and collaborative development
Knowledge of CI/CD pipelines for ML model deployment (Jenkins, GitLab CI, GitHub Actions)
Familiarity with data visualization libraries (Matplotlib, Seaborn, Plotly) and BI tools (Tableau, Power BI)
Experience with real-time streaming data frameworks (Kafka, Kinesis)
Passion for staying current with emerging AI/ML frameworks, research papers, and open-source contributions

Education:

Bachelor’s or Master’s degree in Computer Science, Data Science, Software Engineering, Information Systems, Mathematics, Statistics or related fields of study.

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

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Job Family Group:

Technology

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Job Family:

Data Science

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Time Type:

Full time

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Primary Location Full Time Salary Range:

$120,800.00 - $170,800.00

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Most Relevant Skills

Please see the requirements listed above.

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Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

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Automated Processing and AI

We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi.

Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details.

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This job opening is for an existing job vacancy.

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Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.

View Citi’s EEO Policy Statement and the Know Your Rights poster.

Apply on citi.wd5.myworkdayjobs.com About employer

More about this job

Responsibilities

The Lead AI/ML Data Scientist will design, build, and deploy enterprise-scale AI and machine learning models to optimize reconciliation and data engineering processes. They will lead the full model development lifecycle while collaborating with cross-functional teams to ensure seamless integration and performance.

Requirements

Candidates must have 6+ years of hands-on experience in AI/ML development and big data engineering within financial or related sectors. Proficiency in Python, SQL, and advanced ML frameworks like TensorFlow or PyTorch is required, along with a degree in a quantitative field.

Skills

Python
Machine Learning
Data Science
SQL
TensorFlow
PyTorch
Agentic AI
Generative AI
LangChain
LangGraph
Big Data Engineering
Financial Modeling
R
Ensemble Methods
Data Visualization
CI/CD

Visa sponsorship

Not detected in the job text

Keywords

AI
Machine Learning
Data Science
Python
SQL
TensorFlow
PyTorch
Agentic AI
Generative AI
LangChain
LangGraph
Big Data
Financial Services
Capital Markets
Reconciliation
Data Engineering
Scikit-learn
Pandas
NumPy
XGBoost
LightGBM
CatBoost
NLP
Mlflow
Git
CI/CD
Kafka
Tableau
Power BI
Statistics

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Work requirements

Jobs in Canada