IT & data jobs in Canada

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Added 3 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 3 days ago
C
Business Systems Analyst Capital Markets
Collabera
Toronto, ON
- $70 to $73 CAD / hour
- Contract
Added 3 days ago
H
Machine Learning Engineer
Hays
Toronto, ON
- Contract
The role involves working across the ML lifecycle, including data analysis, feature preparation, experimentation, training, and evaluation.
Added 3 days ago
A
System Administrator
Aylo
Montreal, QC
- Full-time
Added 3 days ago
RH
Senior System Administrator
Robert Half
Newmarket, ON
- $110,000 to $140,000 CAD / year
- Full-time
Added 3 days ago
N
Data Scientist
neurohire.ai
Remote, Canada
- $80,000 to $100,000 CAD / year
- Full-time
- Remote
NeuroHire is seeking a motivated and analytical Data Scientist to join our team. In this role, you will work with structured and unstructured datasets to discover meaningful patterns,…
Added 3 days ago
2I
Senior Systems Administrator/Operations Support Specialist
2iSolutions Inc.
Toronto, ON
- Contract
Knowledge of REST/SOAP APIs, data migration, data validation, and reconciliation.
Added 3 days ago
O
Business Systems Analyst
Onepoint
Ottawa, ON · Montreal, QC
- Full-time
Demonstrate knowledge of systems analysis practices, including system integration, data flows, and the translation of business requirements into functional and system requirements;
Added 3 days ago
W
Business Systems Analyst
Wepoint
Ottawa, ON · Montreal, QC
- Full-time
Demonstrate knowledge of systems analysis practices, including system integration, data flows, and the translation of business requirements into functional and system requirements;
Added 3 days ago
TG
Application Security Engineer
TMX Group
Toronto, ON
- $105,000 to $115,000 CAD / year
- Full-time
Advanced knowledge of key application layer protocols and data formats (HTTP, WebSockets, SQL, JSON, Protobufs).
Added 3 days ago
UO
Senior Advanced Research Computing Systems Administrator
University of Victoria
Victoria, BC
- Internship
Added 3 days ago
UO
Systems Administrator Operations
University of Victoria
Victoria, BC
- Full-time
The incumbent also must possess effective communications skills in order to provide technical assistance to peers and the user community · Must possess problem solving abilities; must be able to effectively identify and resolve unusual and complex technical problems
Added 4 days ago
TO
IT Support Technician
Town of Peace River
Peace River, AB
- Internship
Added 4 days ago
M
Senior Data Architect
Miratech
Toronto, ON · Scarborough, ON
- Full-time
Working Model: This is a hybrid role requiring 2 days per week in a downtown Toronto office
Added 4 days ago
CO
Systems Analyst
City of North Vancouver
North Vancouver, BC
- Full-time
…implementation, and support). You will analyze and evaluate data and information for existing and proposed systems and procedures, recommend and develop logical solutions for problems, act…
Added 4 days ago
MN
Client Data Analyst II
Mosaic North America
Toronto, ON
- Full-time
The Client Data Analyst II (analyst) position is responsible for partnering with our clients and teams to drive their initiatives with strategy, analytics and actionable insights,…
Added 4 days ago
MN
Client Data Analyst II
Mosaic North America
Mississauga, ON
- Full-time
The Client Data Analyst II (analyst) position is responsible for partnering with our clients and teams to drive their initiatives with strategy, analytics and actionable insights,…
Added 4 days ago
BE
Service Desk Analyst, FT, Calgary, Alberta
Baytex Energy Corp.
Calgary, AB
- Full-time
Added 4 days ago
SM
RQ00239 – Senior Data Architect/Modeller
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Hybrid – 3 Days per Week Onsite
Added 4 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 4 days ago
M
Senior Machine Learning Engineer / Applied Scientist
Microsoft
Vancouver, BC
- Full-time
Contribute to MLOps (data pipelines, telemetry, regression testing, monitoring).
Added 4 days ago
Senior Systems Analyst (Power Platform Developer)
Office of the Chief Information Officer
St. John's, NL
…building custom solutions, automating workflows, and ensuring data integrations and processes function seamlessly. The successful candidate will join an energetic and innovative team to…
Added 4 days ago
AI
SQL Database Administrator
Apptoza Inc.
Vancouver, BC
- Full-time
Added 4 days ago
AI
Business Systems Analyst
Apptoza Inc.
Canada
- Contract
Optimize data loading and transformation processes for efficiency.
Added 4 days ago
P
Senior Data Engineer (Lead)
Punt
Canada
- Full-time
We are looking for a Senior Data Engineer to join our Data Spine function. The team owns the canonical event contract, the warehouse, the certified data layer and the serving layer. Every…

Citi

Lead Data Scientist / VP

Mississauga, ON, Canada

$111,600.00 - $161,600.00 · Full-time

Apply on citi.wd5.myworkdayjobs.com About employer

Applications open in a new tab.

Job details

Pay: $111,600.00 - $161,600.00
Job type: Full-time
Experience: 6+ Years of experience in Engineering or HR Technology.
Posting language: English
Posted: Oct 30, 2026

Original job description

The Lead Data Scientist will work hands-on across the AI and analytics development lifecycle. The role will design analytical approaches, develop and validate models, build Generative AI and agentic workflows, and partner with data engineers and technology teams to implement scalable production solutions.

The successful candidate will combine strong data-science expertise with practical engineering skills, enterprise implementation experience, and an understanding of governance requirements. The role will also provide technical guidance to other data scientists and help establish reusable methods, coding standards, and implementation practices.

Key Responsibilities

Advanced Analytics and Statistical Modeling

Design and implement statistical analyses, predictive models, machine-learning solutions, and analytical frameworks.
Translate workforce and organizational questions into measurable hypotheses, appropriate methodologies, and actionable insights.
Apply techniques such as regression, classification, clustering, survival analysis, forecasting, experimentation, and causal inference.
Perform feature engineering, variable selection, model tuning, validation, sensitivity testing, and performance evaluation.
Apply explainability methods such as SHAP, feature attribution, and scenario analysis.
Clearly document and communicate analytical assumptions, limitations, findings, and business implications.

Generative AI and Agentic Solutions

Design and build Generative AI applications, Retrieval-Augmented Generation solutions, and agentic workflows.
Implement tool calling, workflow orchestration, structured outputs, multi-turn interactions, and state management.
Integrate foundation models through approved enterprise gateways and cloud platforms.
Develop reusable prompts, agents, tools, evaluation components, and analytical services.
Build evaluation frameworks to measure accuracy, groundedness, retrieval quality, task completion, consistency, and hallucination risk.
Test and optimize solutions for reliability, performance, latency, cost, and user experience.

Data Engineering and Solution Implementation

Partner with data engineers and architects to design data pipelines, analytical datasets, feature-generation processes, APIs, and production integrations.
Develop clean, reusable, and well-documented Python and SQL code for analytical and AI solutions.
Work with structured and unstructured data from multiple enterprise sources.
Implement data-quality checks, logging, monitoring, error handling, and traceability within analytical workflows.
Support the development of feature libraries, embedding pipelines, vector-search capabilities, and model services.
Move prototypes into scalable production solutions using established MLOps and LLMOps practices.

Governance and Responsible AI

Ensure solutions comply with applicable Model Risk Management, privacy, cybersecurity, data-governance, and responsible AI requirements.
Implement appropriate access controls, data entitlements, PII protections, cohort-suppression rules, and analytical safeguards.
Conduct model-performance, explainability, bias, fairness, stability, and outcome testing.
Support controls for prompt-injection detection, approved tool use, source grounding, and model-output validation.
Prepare documentation covering methodologies, data dependencies, testing, limitations, controls, and implementation decisions.
Partner with risk and control functions to address findings and support required reviews.

Technical Leadership and Collaboration

Serve as a technical lead for complex data-science and AI initiatives while remaining a hands-on individual contributor.
Provide technical guidance and peer review to data scientists working on related solutions.
Help establish standards for coding, analytical design, model validation, testing, documentation, and deployment.
Partner with product managers, data engineers, architects, technology teams, and business stakeholders throughout implementation.
Present complex technical concepts and analytical results in clear language for business and senior stakeholders.
Contribute to delivery planning, solution design, technical decision-making, and resolution of implementation issues.

Qualifications and Required Skills

Experience

Typically, six or more years of relevant experience in data science, machine learning, statistical modeling, advanced analytics, AI implementation, or a related field.
Demonstrated experience implementing analytical, machine-learning, or AI solutions in an enterprise environment.
Experience moving solutions from research and prototyping through validation, production deployment, and monitoring.
Ability to lead complex technical work independently and collaborate effectively across multidisciplinary teams.
Experience operating within a regulated environment is beneficial.

Technical Expertise

Strong knowledge of statistical modeling, probability, regression, classification, clustering, forecasting, experimentation, and model validation.
Advanced proficiency in Python and libraries such as Pandas, NumPy, SciPy, Scikit-learn, Statsmodels, PyTorch, or TensorFlow.
Strong SQL skills and experience with data extraction, transformation, analytical cohort development, and data-quality testing.
Experience designing or implementing Generative AI, Retrieval-Augmented Generation, tool-calling, or agentic applications.
Familiarity with frameworks such as Google Agent Development Kit, LangGraph, LangChain, CrewAI, or comparable technologies.
Experience integrating foundation models through enterprise AI platforms such as Google Cloud and Vertex AI, Microsoft Azure, or AWS.
Understanding of APIs, data pipelines, vector embeddings, semantic search, and production integration patterns.
Familiarity with MLOps or LLMOps practices, including versioning, testing, deployment, observability, monitoring, and change management.
Knowledge of responsible AI, model explainability, bias and fairness testing, data privacy, and role-based access controls.

Beneficial Experience

Experience in People Analytics, Workforce Planning, Human Capital Management, organizational effectiveness, or financial-services analytics.
Experience working with sensitive workforce data and governed analytical environments.
Familiarity with enterprise software-development practices, source control, automated testing, and CI/CD.
Strong written and verbal communication skills, including the ability to explain technical methods to non-technical audiences.

Education

Master’s degree or Ph.D. in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, Operations Research, or another quantitative discipline.
A bachelor’s degree with substantial relevant technical and implementation experience may also be considered.

Master's degree in Analytics, Data Science, Computer Science.

6+ Years of experience in Engineering or HR Technology.

Experience with Python and JavaScript

AI Automation.

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Job Family Group:

Decision Management

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Job Family:

Specialized Analytics (Data Science/Computational Statistics)

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Time Type:

Full time

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Primary Location Full Time Salary Range:

$111,600.00 - $161,600.00

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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 Data Scientist will design and implement advanced analytical models, Generative AI solutions, and agentic workflows while partnering with engineering teams for production deployment. The role also involves providing technical leadership, establishing coding standards, and ensuring compliance with governance and responsible AI requirements.

Requirements

Candidates must have six or more years of experience in data science, machine learning, or AI implementation within an enterprise environment. A Master’s degree or Ph.D. in a quantitative discipline is required, along with advanced proficiency in Python, SQL, and modern AI frameworks.

Skills

Python
SQL
Machine Learning
Statistical Modeling
Generative AI
Retrieval-Augmented Generation
Agentic Workflows
Data Engineering
MLOps
LLMOps
Predictive Modeling
Data Governance
Cloud Platforms
Model Validation
Feature Engineering
Technical Leadership

Visa sponsorship

Not detected in the job text

Keywords

Data Science
Machine Learning
Generative AI
Python
SQL
Statistical Modeling
Retrieval-Augmented Generation
Agentic Workflows
MLOps
LLMOps
Data Engineering
Cloud Platforms
Vertex AI
LangChain
LangGraph
PyTorch
TensorFlow
Pandas
NumPy
SciPy
Scikit-learn
Statsmodels
Model Risk Management
Responsible AI
Data Governance
Predictive Analytics
Feature Engineering
Vector Search
CI/CD
People Analytics

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Hiring at a glance

Advertised starting pay

Where work happens

IT & data jobs in Canada

RQ00245 – Machine Learning Engineer – Senior

Business Systems Analyst Capital Markets

Machine Learning Engineer

System Administrator

Senior System Administrator

Data Scientist

Senior Systems Administrator/Operations Support Specialist

Business Systems Analyst

Business Systems Analyst

Application Security Engineer

Senior Advanced Research Computing Systems Administrator

Systems Administrator Operations

IT Support Technician

Senior Data Architect

Systems Analyst

Client Data Analyst II

Client Data Analyst II

Service Desk Analyst, FT, Calgary, Alberta

RQ00239 – Senior Data Architect/Modeller

RQ00245 – Machine Learning Engineer – Senior

Senior Machine Learning Engineer / Applied Scientist

Senior Systems Analyst (Power Platform Developer)

SQL Database Administrator

Business Systems Analyst

Senior Data Engineer (Lead)

Contact us

Advertised starting pay

Where work happens

Work requirements

IT & data jobs in Canada