Find work in Canada.

549,695 jobs across our Canadian network. How we count

Jobs in Canada

25+ jobs

Email me new jobs Save this search

Added 58 mins ago
MM
Business Leader
Martell Media
Kelowna, BC
- Full-time
You'll lead a lean team across sales, customer success, and engineering, and report to the Martell Ventures partners. You'll also own product strategy and execution: turning customer…
Added 58 mins ago
T
Senior New Business Account Executive
Tailscale
Toronto, ON
- Full-time
…Reddit. We have 100,000+ monthly active users, many of whom are engineering leaders working at the most innovative companies in the world. This is an opportunity to join early at a rapidly…
Added 1 hour ago
M
Quality Engineer Lead
Manulife
Waterloo, ON
- Full-time
As a Quality Engineer Lead, you will play a critical role in shaping how quality is engineered across our technology platforms. You will lead the design and scaling of automated testing…
Added 1 hour ago
C-
Technical Sales and Field Service Engineer
Captiveaire - Region 114 Western PA
Saskatoon, SK
- Full-time
…developing new business. This position will involve applications engineering, sales support and field service work. Sales Engineers should be comfortable working in a result-driven,…
Added 1 hour ago
Team Lead, Software Engineering
Questrade Financial Group
Toronto, ON
We’re looking for our next Team Lead, Software Engineering . Could It Be You?
Added 1 hour ago
C-
Technical Sales and Field Service Engineer
Captiveaire - Region 114 Western PA
Ottawa, ON
- Full-time
…developing new business. This position will involve applications engineering, sales support and field service work. Sales Engineers should be comfortable working in a result-driven,…
Added 1 hour ago
C-
Commercial HVAC Service Technician
Captiveaire - Region 114 Western PA
PE · Prince, PE
- Full-time
Leader in the industry for over 40 years with innovative technologies, unmatched service, competitive pricing, and rapid lead times.
Added 2 hours ago
H
Mining Potash Lead
HDR
Toronto, ON · Saskatoon, SK · Vancouver, BC
- Full-time
The Mining Potash Lead provides strategic, technical, and commercial leadership for the firm’s potash services. The role is accountable for building and sustaining a market‑leading potash…
Added 2 hours ago
TS
Senior Java Developer
Triunity Software
Toronto, ON
- $100,000 to $110,000 CAD / year
- Full-time
Lead code reviews and enforce best practices in software development and architecture
Added 3 hours ago
Director, Offensive Security
Varicent
Toronto, ON
…identify, prioritize, and reduce security risk at scale. You'll lead offensive security initiatives including penetration testing, red teaming, AI security validation, vulnerability…
Added 3 hours ago
B
Senior Product Manager
Blazesoft
Concord, ON
- Full-time
We're looking for a Senior Product Manager from the casino, iGaming, or sweepstakes industry who has been around the block, someone who does not need hand-holding to navigate a complex,…
Added 3 hours ago
M
Senior Software Engineer - Credit Commercial Engineering
Marqeta
Remote, Canada
- Full-time
- Remote
…and delivery of software solutions on our Credit Commercial Engineering Team. In this role, you will take ownership of well-defined features and components within a broader product area,…
Added 3 hours ago
A
Senior Software Engineer, Behavior Planning
AeroVect
Remote, Canada
- $160,000 to $200,000 CAD / year
- Full-time
- Remote
This opportunity offers a deeply technical engineer the chance to shape a market-defining enterprise product that combines autonomous vehicle technology with a robotics-as-a-service (RaaS)…
Added 3 hours ago
EI
Technical Lead, Sustaining (CDU)
Ecolab Inc.
Calgary, AB
- Full-time
CoolIT is hiring a full-time Sustaining Technical Lead to coordinate and drive multidisciplinary sustaining engineering activities across our CDU product portfolio from production…
Added 3 hours ago
TI
Sr Mgr, Process Improvement & Transformation
telMAX Inc.
Markham, ON
- $90,000 to $130,000 CAD / year
- Full-time
Reporting to the VP, Product Management & Customer Experience, the Senior Manager, Process Improvement & Transformation will be responsible for turning opportunities into simpler, smarter,…
Added 3 hours ago
AE
Design Team Lead
Atlas Engineered Products Ontario (TSXV:AEP)
Carman, MB
- Full-time
We are currently seeking a motivated and experienced Prairies Design Team Lead to support our operations at Penn-Truss in Saltcoats, SK, and South Central Building Systems in Carman, MB.
Added 3 hours ago
Product Line Manager - Geomembrane & Specialty Market
Intertape Polymer Group (IPG)
Truro, NS · ON · NB · NS · PE
Position Purpose: Lead the growth and success of an assigned product line by developing market-driven strategies, identifying new opportunities, and advancing product innovation. Through…
Added 3 hours ago
Panel Builder
Eclipse Automation
Cambridge, ON
Reporting to the Panel Shop Lead the Panel Builder will provide electrical manufacturing of Panels for projects. Assist in development and implementation of electrical manufacturing…
Added 3 hours ago
GD
Specialist, Trainer Operator
General Dynamics Land Systems–Canada
London, ON
- Full-time
Conduct training for both Operators and Maintainers on all GDLS-C chassis and turret product lines for both internal and external customers.
Added 4 hours ago
M
Développeur(euse) Web Fullstack
Mirego
Montreal, QC · Quebec, QC
- Full-time
…allows you to navigate fluidly across the different layers of a product and grasp its full…
Added 4 hours ago
M
Développeur(euse) IA
Mirego
Montreal, QC · Quebec, QC
- Full-time
- You lead your AI projects from solution design all the way through to production implementation, including prototyping and technical hypothesis validation.
Added 4 hours ago
Quality Production Associate - Machining (Afternoons)
INNIO
Welland, ON
In this position you will be reporting directly to Quality Lead - Machining and will be responsible for manufacturing quality readiness of the Welland facility. You will support quality…
Added 4 hours ago
HT
Manufacturing Engineer (Contract)
Husky Technologies
Bolton, ON
- Full-time
…passion of our people around the world and their desire to lead change. At the same time, we are not afraid to expect a lot and strive for leadership in all of our key markets. We are a…
Added 4 hours ago
HT
Advanced Applications Blow Molding Specialist
Husky Technologies
Bolton, ON
- Full-time
Ability to apply systematic engineering methodologies and data analysis techniques to identify meaningful technical solutions for Husky’s product offering
Added 4 hours ago
HT
Applications Engineer
Husky Technologies
Bolton, ON
- Full-time
Lead end-to-end innovation and engineering initiatives, from concept ideation and prototyping through proof-of-concept validation, product development, and commercialization.

Citi

Lead Data Scientist / VP

Mississauga, ON, Canada

$111,600.00 - $161,600.00 · Full-time

Apply About employer

Applications open in a new tab.

Job details

Pay: $111,600.00 - $161,600.00
Job type: Full-time
Apply by: Nov 8, 2026
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.

------------------------------------------------------

Job Family Group:

Decision Management

------------------------------------------------------

Job Family:

Specialized Analytics (Data Science/Computational Statistics)

------------------------------------------------------

Time Type:

Full time

------------------------------------------------------

Primary Location Full Time Salary Range:

$111,600.00 - $161,600.00

------------------------------------------------------

Most Relevant Skills

Please see the requirements listed above.

------------------------------------------------------

Other Relevant Skills

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

------------------------------------------------------

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.

------------------------------------------------------

This job opening is for an existing job vacancy.

------------------------------------------------------

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 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 should 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
Vertex AI
PyTorch
TensorFlow

Visa sponsorship

Not detected in the job text

Keywords

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

Report this job