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Added 3 mins ago
K
Senior Business Analyst
Klick
Toronto, ON
- Full-time
Working knowledge of marketing technology platforms, CRM programs, system integrations, APIs, connectors, data flows, data fit-gap analysis, and data governance considerations.
Added 3 mins ago
UC
Databricks Data Platform Engineer
Univedge Consulting LLC
Canada
- Contract
As a Senior Databricks Data Platform Engineer, you will own the engineering, automation, and day-to-day health of our enterprise Databricks Lakehouse platform. This is a platform-first…
Added 3 mins ago
Senior HR Business Partner
Payments Canada
Ottawa, ON · Toronto, ON
You want to be challenged and lead unique initiatives.
Added 3 mins ago
Human Resources - HR Business Partner
Westerkirk
Toronto, ON
…based on business needs. The role works within established HR governance, escalates significant risks and exceptions to the Senior Manager, Human Resources, and remains responsible for…
Added 3 mins ago
AS
Registrar
Acsenda School of Management
Vancouver, BC
- $90,000 to $110,000 CAD / year
- Full-time
Lead testing and validation of system upgrades and integrations, and manages data exchanges with EducationPlanner BC, BCCAT and provincial reporting systems.
Added 3 mins ago
HG
National Manager, Finished Vehicle Operations
Hyundai Glovis Canada Inc.
Toronto, ON
- Full-time
Lead national transportation network and capacity planning to ensure sufficient and reliable capacity to support current and future OEM requirements.
Added 18 mins ago
T
Senior Manager, Procurement Portfolio Advisor
TD
Toronto, ON
- Full-time
…Procurement leadership and key business stakeholders, enabling data-driven decision making, strategic planning, transformation, and enterprise-wide alignment of procurement…
Added 33 mins ago
SI
SAP HANA DBA
Spruce InfoTech Inc.
Calgary, AB · Greater Calgary Metropolitan Area
- Contract
Lead planning, sizing, setup, implementation, and lifecycle management of SAP products, HANA database installations, upgrades, and system refreshes.
Added 33 mins ago
CS
Data Architect
Confiar Services
Toronto, ON
- $65 to $70 CAD / hour
- Contract
We are seeking an experienced Azure Data Architect to design and lead secure, scalable enterprise data solutions on Azure. The ideal candidate will have strong expertise in Azure…
Added 33 mins ago
RD
Quality Engineer
Randstad Digital
Toronto, ON
- Contract
In this role, you will lead quality engineering, integration verification, and data integrity validation across mission-critical wholesale banking and payment applications. You will support…
Added 33 mins ago
PC
Vice President of Sales
Phoenix Contact Canada
Milton, ON
- Full-time
…financial acumen, effective matrix leadership and the ability to lead change. The Vice President is accountable for sales strategy, organizational structure, talent, resource allocation,…
Added 33 mins ago
M
GLOBAL KNOWLEDGE , TRAINING AND DEVELOPMENT LEAD
Manulife
Toronto, ON · Waterloo, ON · Montreal, QC
- Full-time
Working closely with content owners, subject matter experts, and operational teams, the Knowledge Governance & Training Lead identifies opportunities to improve employee experience,…
Added 33 mins ago
Senior Advisor, Risk Management
VIA HFR - VIA TGF Inc
Ottawa, ON · Toronto, ON · Montreal, QC
…management is embedded into project planning, execution, and governance, particularly in large-scale infrastructure or transportation initiatives. The ideal candidate will have a strong…
Added 33 mins ago
IF
Bilingual (FR-EN) Manager, Security Platforms and Resilience, Security Operations Centre
Intact FC
Ottawa, ON · Toronto, ON · Laval, QC · Montreal, QC · Saint-Hyacinthe, QC
- Full-time
Lead the implementation of AI and operations automation capabilities defined by the needs of the Security Operations Centre teams to improve alert triage, event correlation, the reduction…
Added 48 mins ago
Partner Operations Program Manager, Associate
Brex
Vancouver, BC
Define and own the operating model for partner management, including processes, decision rights, governance, documentation, and escalation paths.
Added 48 mins ago
MH
Head of AI Transformation
Maya HTT
Remote, Canada
- Full-time
- Remote
Experience with Microsoft 365 data governance, such as Purview.
Added 48 mins ago
Managing Principal – Cybersecurity Strategy & Transformation
Capco
Toronto, ON
Client Advisory & Engagement: Advise senior stakeholders on cybersecurity strategy, governance, technology risk, security architecture, and regulatory expectations. Lead complex consulting…
Added 1 hour ago
NB
Content Marketing Advisor - Newsletter Products
National Bank of Canada
Montreal, QC
- Full-time
Lead the editorial strategy and management of personal and business banking newsletters, shaping them as ongoing content experiences that provide value to clients.
Added 1 hour ago
NB
Content Marketing Advisor - Financial Literacy
National Bank of Canada
Montreal, QC
- Full-time
Lead financial literacy social media planning, developing editorial calendars based on audience insights, seasonality, business priorities, market opportunities and marketing campaigns.
Added 1 hour ago
KR
AI Architect
KTek Resourcing
Toronto, ON
- Contract
Backend / Data: SQL Server, Azure Cosmos DB, Data Platforms, Databases, Data Storage & Retrieval Services
Added 1 hour ago
Compliance Officer
Questrade Financial Group
Toronto, ON
…Brokers of Record, to ensure that digital marketplace campaigns, lead-routing disclosures, and listing data displays comply with all statutory standards before they reach…
Added 1 hour ago
IF
Security Solutions Architecture Advisor
iA Financial Group
Montreal, QC · Quebec, QC
- Full-time
Would you like to contribute to data protection within a large organization and help advance strategic security solutions?
Added 1 hour ago
RU
Supervisor, Talent Acquisition Operations – Programs & Interviews
RSM US LLP
Toronto, ON
- Full-time
Ensure data integrity, reporting accuracy, and adherence to governance, quality assurance, and compliance standards.
Added 1 hour ago
S
Manager, Product, Pricing & Integrations Operations
Salesforce
Toronto, ON · Canada - Toronto
- Full-time
Build licensing governance into the NPI process for all new launches and repackaging efforts, moving strategy and technical validation earlier. Own license and entitlement sign-off for…
Added 1 hour ago
UO
Administrative Assistant, HR Students & Facilities
University of British Columbia
Vancouver, BC · UBCV | Liu Institute for Global Issues (LIU)
- $4,719 to $4,960 CAD / month
- Full-time
The School of Public Policy and Global Affairs (SPPGA) is a leading centre for innovation in governance and global public policy. The School is home to the Liu Institute for Global Issues…

Citi

Lead Data Scientist / VP

Mississauga, ON, Canada

$111,600.00 - $161,600.00 · Full-time

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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.

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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.

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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

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