Find work in Canada.

540,807 jobs across our Canadian network. How we count

Jobs in Canada

25+ jobs

Email me new jobs Save this search

Added 11 mins ago
CO
Manager Policy and Risk Management
City of Saint John
Saint John, NB
- Full-time
…Services. The incumbent will act in an advisory capacity to the senior police staff and Chief of Police in matters of research and analysis, policy, and risk management for the…
Added 11 mins ago
Q
Senior GRC Analyst
Quantexa
Toronto, ON
- $116,000 to $146,000 CAD / year
- Full-time
It isn’t often you get to be part of a tech company that, since 2016, has been innovating the data analytics market in ways no-one else can. Our technology started out in FinTech, helping…
Added 11 mins ago
HA
Senior Data Analyst
HR Associates
Toronto, ON
- Temporary
We are currently recruiting an experienced Senior Data Analyst for our client in the public sector, for up to 12 months.
Added 11 mins ago
S
Senior Security Analyst
SAP
Toronto, ON
- Full-time
SAP Enterprise Cloud Services is looking for a Senior Security Specialist with a strong technological and security background across the stack. Your focus topic will be Security Incident…
Added 11 mins ago
EC
Vice President, Enterprise Services
ethree Consulting
St. John's, NL
- Full-time
Strategy and planning: Working with the Executive Team and senior leaders to translate long-term priorities into evidence-based, multi-year plans with clear accountabilities and measurable…
Added 11 mins ago
HT
Director, Finance (CSM)
Husky Technologies
Bolton, ON
- Full-time
Serve as the senior finance partner to service leadership, operations, commercial teams, and Customer Success leaders, providing insight and challenge on strategic priorities, business…
Added 11 mins ago
HT
Financial Manager - PLM (Product Line Mgmt)
Husky Technologies
Bolton, ON
- Full-time
Translate complex data into clear, actionable recommendations for senior leadership
Added 11 mins ago
LM
DIRECTOR OF INFORMATION TECHNOLOGY
Lacroix Médecine Privée
Quebec, QC
- Full-time
…and financial priorities of Groupe médical Lacroix. Advise senior management on investments, risks, and key technological…
Added 11 mins ago
A
Industrial Engineer
adidas
Brantford, ON
- Full-time
Improve leadership’s decision-making by providing recommendations based on data (e.g., models, reporting, analytics, layouts, etc…)
Added 11 mins ago
HS
Senior Software Engineer
Henry Schein Canada
Surrey, BC
- Full-time
Henry Schein One (HSOne) is the global leader in dental management, analytics, communication, and marketing software. We deliver innovative dental software and services, combined with…
Added 11 mins ago
BS
Bilingual Analyst, Financial Operations
Bilingual Source
Markham, ON
- $65,000 to $75,000 CAD / year
- Full-time
Our client is seeking a Bilingual Senior Analyst, Financial Operations to join a collaborative finance team supporting a complex, multi-entity financial services environment. This is an…
Added 11 mins ago
SC
Director Talent Acquisition
Sonepar Canada
Surrey, BC
- Full-time
…branding, sourcing, selection, recruitment technology, governance, analytics, and continuous improvement, while leading and developing the Talent Acquisition…
Added 11 mins ago
TE
Sales Manager
Talentfoot Executive Search
Montreal, QC
- Full-time
…process that enables the team to succeed. Working closely with senior leadership, this role offers the opportunity to develop sales talent, strengthen commercial operations, and directly…
Added 11 mins ago
Sr. Competitive Systems Designer (Apex Legends)
Electronic Arts
Vancouver, BC
Senior Systems Designer – Competitive Systems
Added 11 mins ago
HS
Senior Software Engineer
Henry Schein
Surrey, BC
- Full-time
Henry Schein One (HSOne) is the global leader in dental management, analytics, communication, and marketing software. We deliver innovative dental software and services, combined with…
Added 11 mins ago
C
Senior Account Manager
Citylitics
Toronto, ON
- Full-time
Citylitics is hiring a proactive, analytical, and commercially driven Senior Account Manager reporting to the Director of Account Management.
Added 11 mins ago
E
Senior Manager, Digital Strategy & Operations
Equinix
Toronto, ON
- Full-time
The Senior Manager, Strategy & Operations sits within the DIO Office of the COO (DCOO) and leads strategic projects across DIO, spanning planning, strategy, operations, and finance. This…
Added 11 mins ago
M
RQ11656 - Systems Testing/QA Specialist - Senior
Maarut
Toronto, ON
- Contract
Added 26 mins ago
Sr. Tech. Strategy Analyst
Rogers Communications
Toronto, ON
The Senior Technology Strategy Analyst will be responsible for supporting Technology Strategy in all aspects of long-term strategic planning initiatives. This role is suited to a…
Added 26 mins ago
Senior Data Engineer
Capgemini
Calgary, AB
…experience building enterprise-scale data solutions that support analytics, reporting, and machine learning workloads. Key Responsibilities - Design, develop, and optimize scalable ETL/ELT…
Added 26 mins ago
MF
AI Automation & Platform Analyst (Senior Analyst)
Mackenzie Financial Corporation
Toronto, ON · Greater Toronto Area, ON
- Other
…support, while collaborating closely with Sales Enablement, Analytics (SE&A), sales teams, and…
Added 26 mins ago
WhereTo - Senior Product Manager - Canada, Virtua
Flight Centre
Canada
WhereTo is seeking an innovative and results-driven Senior Product Manager to help shape the future of business travel. As part of a nimble, startup-minded team within Flight Centre Travel…
Added 26 mins ago
GS
Business Systems Developer
Grantek Systems Integration
Burlington, ON
- Full-time
Grantek is looking for a Business Systems Developer to design, build, and maintain the internal applications, integrations, and automation workflows that support our global operations. This…
Added 41 mins ago
S
Delivery Manager – Personalization and Marketing (7 months contract)
Sobeys
Toronto, ON
- Contract
Stakeholder Engagement & Communication: Engage with senior business stakeholders and Advanced Analytics leadership to gather requirements, provide regular progress updates, and manage…
Added 41 mins ago
SG
Senior Analyst, Analytics & Insights (12-Month Contract)
Scotia Global Asset Management
Toronto, ON
- Contract
The Senior Analyst, Analytics & Insights is responsible for designing, developing, and maintaining dashboards, reports, and data solutions that deliver actionable insights to support…

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 must have at least six years of relevant 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

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

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
Vertex AI
LangChain
LangGraph
PyTorch
TensorFlow
Pandas
NumPy
SciPy
Scikit-learn
Statsmodels
Data Engineering
Model Risk Management
Responsible AI
Vector Search
Feature Engineering
Causal Inference
Cloud Computing
API Development
People Analytics
Workforce Planning

Report this job