Find work in Canada.

539,780 jobs across our Canadian network. How we count

Jobs in Canada

25+ jobs

Email me new jobs Save this search

Added 11 mins ago
A
Spécialiste Flammabilité / Flammability Specialist
Airbus
Montreal, QC
- Full-time
Apporter un soutien aux activités du “Material Review Board” (MRB) de la production pour les non-conformités.
Added 11 mins ago
KM
Technology Field Sales Representative (GTA) - Konica Minolta Business Solutions
Konica Minolta Business Solutions U.S.A., Inc.
Mississauga, ON
- $46,850 to $58,562 CAD / year
- Full-time
…solutions. 2025 marks Konica Minolta’s 20th anniversary in production print, for which it celebrates "20 Years of Excellence, Innovation and Impact,” and continues to lead the way in…
Added 11 mins ago
KM
Customer Success Manager (Burnaby)
Konica Minolta Business Solutions (Canada) Ltd.
Burnaby, BC
- Full-time
Added 11 mins ago
KM
Major Account Executive- CPS (Calgary)
Konica Minolta Business Solutions (Canada) Ltd.
Calgary, AB
- Full-time
…solutions. 2025 marks Konica Minolta’s 20th anniversary in production print, for which it celebrates "20 Years of Excellence, Innovation and Impact,” and continues to lead the way in…
Added 11 mins ago
HÀ
CNC Milling Operator
HR à la carte
Mississauga, ON
- Full-time
…machine for non-repetitive machining work as assigned by their lead hand. The basic skill sets required for this position include knowledge of G/M code programming, ability to setup/change…
Added 11 mins ago
CF
IT Change Management and Release Engineer II
CI Financial
Toronto, ON
- Full-time
· Ensure that audit trails of promotions to Test and Production environment requests are available
Added 11 mins ago
CT
Manager, Analytics Engineering
Canadian Tire Corporation
Toronto, ON
- Full-time
We are seeking a hands-on, strategic Manager, Analytics Engineering to lead the modernization of enterprise data platforms from Hadoop to Microsoft Azure. A core mandate is to build…
Added 11 mins ago
B
Senior Director, Project Delivery (Hybrid)
Broadridge
Toronto, ON
- Full-time
The Senior Director leads advisory delivery for the Emerging Technologies practice, reporting to the VP, Practice Lead. The role turns regulatory change, dealer consolidation, risk program…
Added 25 mins ago
CG
Food Service Supervisor - Temporary full time
Compass Group Canada
Woodbridge, ON
- Full-time
Supervise the production of menu items, ensure completion of cash readings, manage associates, schedule staff working hours, hire and train employees.
Added 25 mins ago
RL
Chief Operating Officer
Republic Live Inc
Canada
- Full-time
Republic Live is seeking an experienced, commercially driven Chief Operating Officer to lead business operations, strengthen financial performance, and help shape the company's continued…
Added 25 mins ago
CG
Tim Hortons Supervisor - Full-Time
Compass Group Canada
Sudbury, ON
- Full-time
Supervise the production of menu items, ensure completion of cash readings, manage associates, schedule staff working hours, hire and train employees.
Added 25 mins ago
A
Order Management and Quotation Specialist
ABB
Montreal, QC · Saint-Laurent, QC
- Full-time
At ABB, we help industries run leaner and cleaner - and every person here makes that happen. You’ll be empowered to lead, supported to grow, and proud of the impact we create together. Join…
Added 25 mins ago
IF
Communications Specialist (Writer, Executive Communications)
Intact FC
Toronto, ON · Montreal, QC
- Full-time
As Communications Specialist, you will work closely with Intact’s CEOs and leadership team, serving as a lead writer and a trusted communications advisor, while establishing yourself as an…
Added 25 mins ago
RC
Social Media Lead
RHEI CREATIONS USA INC
AB · BC · ON
- $53,000 to $63,000 CAD / year
- Full-time
The Social Media Lead owns the performance, direction, and growth of assigned social accounts across TikTok, Instagram, Facebook, and Snapchat. This role is accountable for audience…
Added 40 mins ago
CG
Food Service Supervisor - Full time
Compass Group Canada
ON · York, ON
- Full-time
Supervise the production of menu items, ensure completion of cash readings, manage associates, schedule staff working hours, hire and train employees.
Added 40 mins ago
MC
Senior Accountant - strong experience using Microsoft Dynamics GP (Great Plains).
Multinational Corporation
Mississauga, ON
- Full-time
Financial Reporting & Close: Lead month-end and year-end close processes, preparing monthly, quarterly, and annual financial statements, journal entries, accruals, and supporting schedules.
Added 40 mins ago
R
Marketing Intern (Part-Time)
RestoReach
Canada
- $28 CAD / hour
RestoReach is a rapidly growing agency helping restaurant technology companies scale through paid advertising, lead generation, outbound prospecting, and revenue growth strategies. We're a…
Added 40 mins ago
TC
Senior Database Administrator (Oracle Application DBA / AWS Cloud)
Tata Consultancy Services
Toronto, ON
- $115,000 to $130,000 CAD / year
- Full-time
Lead database release automation, code reviews, and schema migrations across development, staging, and production environments.
Added 40 mins ago
KI
PL/SQL Developer in Montreal, QC- Canada - Interviews this weekend
KPG99 INC
Montreal, QC
- Contract
Support production systems and troubleshoot application and database issues
Added 40 mins ago
NS
AWS Snowflake Solutions Architect
N2P Systems
Toronto, ON
- Full-time
Proven ability to lead architecture definition, HLD/LLD preparation, non-functional requirements assessment, migration planning, technical governance, and production readiness.
Added 40 mins ago
O
XR No-Code Developer
OVA
Quebec, QC
- Full-time
Sous la supervision d’un Lead XR No‑Code Developer, vous participerez à la production d’expériences XR en respectant les standards de qualité, les processus internes et les échéanciers…
Added 40 mins ago
LC
Social Media Manager, Quo Beauty - 12 Month Contract
Loblaw Companies Limited
Toronto, ON
- Full-time
Lead social content planning from brief through execution, ensuring content is strategically aligned, socially relevant, and fit for each platform.
Added 40 mins ago
TT
Shipper/Receiver
Trojan Technologies
London, ON
- Full-time
Reporting to the Shipping/Receiving Team Lead the Shipper/Receiver is responsible for or ensuring accurate and timely flow of materials into and out of the central warehouse. This role is…
Added 56 mins ago
EF
Digital Press Operator
ePac Flexible Packaging
Port Coquitlam, BC
- Full-time
Monitors print quality while machine is in production
Added 56 mins ago
D
Lead AI.Net Developer
Digitive
Canada
- Contract
We are looking for a highly hands-on, execution-focused Lead AI Developer to serve as the ground-level technical partner to our Lead AI Engineer. While the Lead AI Engineer establishes the…

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