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Added 14 mins ago
IF
Vendor Management Analyst, Tech+Lab
Intact FC
Toronto, ON · Montreal, QC · Laval, QC
- Full-time
Lead the preparation of executive-level reporting and presentations for VP and Director stakeholders, translating vendor data into actionable insights
Added 14 mins ago
CO
Director, AI, Data and Analytics
City of North Vancouver
North Vancouver, BC
- Full-time
…will directly shape how artificial intelligence, enterprise data, analytics, and Geographic Information Systems (GIS) transform municipal service delivery. The Director will develop and…
Added 1 hour ago
B
Global Relationship Manager- 3
BrightClaim
ON
- Full-time
…value proposition and drive revenue growth. Build and implement data strategies to guide effective promotional planning and execution, ensuring optimal outcomes. Collaborate with Sales and…
Added 2 hours ago
TA
Lead AI Architect & Delivery Manager
Tiger Analytics
Canada
- Full-time
The Lead AI Architect & Delivery Manager will serve as the technical authority and engagement lead for the client's TPRM AI Assistant project, backfilling the departing AI Lead. This role…
Added 2 hours ago
MD
Lead IT Auditor - State Prog Admin Coordinator
Minnesota Direct Care and Treatment
Saint-Paul, NB · St.-Paul, NB
- Full-time
Lead local agencies data incident investigations.
Added 2 hours ago
Senior AI Applied Value Architect
Celonis
Canada
The Role: As a Senior AI Applied Value Architect, you will spearhead AI and data-driven business transformation supporting customers in North America, by contributing to your customer’s…
Added 2 hours ago
Applied AI Value Architect
Celonis
Canada
The Role: As an AI Applied Value Architect, you will spearhead AI and data-driven business transformation supporting customers in North America, by contributing to your customer’s…
Added 2 hours ago
TI
Sr Mgr, Process Improvement & Transformation
telMAX Inc.
Markham, ON
- $90,000 to $130,000 CAD / year
- Full-time
Continuous Improvement & Transformation - Identify, prioritize and lead cross-functional opportunities to simplify how telMAX works, eliminate friction and improve customer, employee and…
Added 2 hours ago
CO
Manager, Digital Solutions
City of Saint John
Saint John, NB
- Full-time
…the City’s enterprise applications, digital solutions, and data and information management functions. This role ensures that corporate systems - including major enterprise systems and other…
Added 2 hours ago
CO
Director, Health, Safety, & Organizational Resilience
City of Saint John
Saint John, NB
- Full-time
The Director will lead organizational change and influence leaders at all levels of the organization to embed safety, risk management, prevention, and employee well-being into strategic and…
Added 2 hours ago
CO
Application & Integration Technical Analyst
City of Saint John
Saint John, NB
- Full-time
Under the direction of the designated IT Manager, the Application and Integration Technical Analyst is a technical lead responsible for system architecture, data strategy, and integration…
Added 3 hours ago
HT
Master Data Mgmt Analyst
Husky Technologies
Bolton, ON
- Full-time
Process master data requests in accordance with data governance policies and guidelines, within the defined service level agreements
Added 3 hours ago
HT
Director, Finance (CSM)
Husky Technologies
Bolton, ON
- Full-time
…for financial planning, forecasting, performance analysis, governance, and decision support to drive profitable growth, improve operational performance, and strengthen financial visibility…
Added 3 hours ago
HT
VP, Accounting & Controllership (Husky)
Husky Technologies
Bolton, ON
- Full-time
Lead all global accounting, financial reporting, consolidation, controllership, and financial governance activities.
Added 3 hours ago
Director Health Services (Regional Director - Acute Care Services)
Winnipeg Regional Health Authority
Winnipeg, MB
Monitor and evaluate program performance using data and key performance indicators, identifying opportunities for improvement and ensuring accountability for outcomes.
Added 4 hours ago
SM
Research Education Program Lead Gemini Operations
St. Michael's Hospital
Toronto, ON
- Temporary
GEMINI ( www.geminimedicine.ca ) is a “made-in-Ontario” data platform and Canada's largest hospital clinical data research network. We have collected data for >3 million admissions…
Added 4 hours ago
ML
Engineering Manager
Maple Leaf Foods Inc
London, ON
- $122,000 to $172,000 CAD / year
- Part-time
Lead the planning, justification, budgeting, execution, and commissioning of capital projects.
Added 4 hours ago
ML
Sr. Demand Planner
Maple Leaf Foods Inc
Mississauga, ON
- $71,000 to $103,000 CAD / year
- Part-time
Maintain statistical modeling and proper master data governance in SAP IBP to develop the baseline demand forecast, leveraging Power BI reporting to identify and correct changing patterns…
Added 4 hours ago
Solutions Architect - Onsite
Mariner
Halifax, NS
…technology company for those who make an impact - elevating people, data, and technology in the best way to solve hard problems. We partner with people embracing change, leveraging data,…
Added 5 hours ago
M
Associate Director, Clinical Data Management
Merck
Canada
- Full-time
The Associate Director, Data Collection Data Steward, Global Data Management and Standards (GDMS), Global Clinical Data Standards (GCDS) provides program-level oversight of data standards,…
Added 5 hours ago
B
Project Manager Global Expansion
Bombardier
Dorval, QC
- Full-time
Lead Strategic & Market Analyses: Conduct regional economic, political, workforce, and competitive assessments, perform market attractiveness, demand sizing, and competitive benchmarking,…
Added 6 hours ago
OT
Principal Systems Architect (Copilot Architect)
Open Text Corporation
Mississauga, ON · Richmond Hill, ON · Waterloo, ON
- Other
Lead the end-to-end architecture of AI-enabled applications, agentic workflows, web platforms, APIs, integrations, data services, and cloud deployment models.
Added 6 hours ago
LP
CPSAR Student Research Assistants
Lethbridge Polytechnic
Lethbridge, AB
- Internship
…content, including participant accounts, survey and interview data, and resource materials related to sexual violence and its impacts. We take the wellbeing of our team seriously.…
Added 7 hours ago
RO
Advisor, Water and Wastewater Strategic Infrastructure Planning
Region of Peel
Brampton, ON
- Contract
Develop and maintain the asset information strategy, including asset hierarchies, asset registers, data standards, and governance processes for water and wastewater infrastructure assets…
Added 7 hours ago
TA
Sr. Analytics Consultant
Tiger Analytics
Canada
- Full-time
…100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning and AI. Our business value and leadership has been…

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 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

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