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Added 15 mins ago
AI
Adobe Site Reliability Engineer - Content Delivery Network
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
- Full-time
…APIs behind the page. Capacity planning here is a financial operations discipline, not a server-sized…
Added 15 mins ago
A
Executive Assistant
ARC'TERYX
North Vancouver, BC
- Full-time
As an Executive Assistant within our Supply Chain organization, you will support specific Senior Leadership within our function. You’re a master in the art of organization, with a…
Added 30 mins ago
D
GenAI & Python Specialist - Operate (Future Opportunity)
Deloitte
Toronto, ON
- Full-time
…LangGraph, ADK, and MCP. You will develop and orchestrate multi-agent systems and design agentic solutions that support complex business…
Added 30 mins ago
A
Agent Method // Methods Agent
Actalent
Mirabel, QC
- $35 to $60 CAD / hour
- Contract
The Methods Agent plays a critical role in planning, optimizing, and supporting aerospace production activities. This person interprets and validates technical documentation, defines…
Added 30 mins ago
Supervisor, Corporate SCM
Inter Pipeline Ltd.
Calgary, AB
Oversee SCM governance and embed process and system controls that support compliance and efficient operations.
Added 30 mins ago
PC
Directeur(rice), audit, technologies de l'information (Bilingue FR/ANGL)
PwC Canada
Montreal, QC
- Full-time
…afin d’aider nos clients à optimiser l’efficacité de leurs opérations. Notre équipe aide les entreprises à comprendre les exigences de présentation d’information de plus en plus complexes…
Added 30 mins ago
J
Product Manager, Agentic Products
Jetson
Kitchener, ON
- Full-time
We're building the agentic products that runs Jetson's customer operations - and we need a product leader for it. As a Product Manager on the Agentic Products team, your customers are…
Added 45 mins ago
Product Manager, Agentic Products
Jetson Home
Kitchener, ON
We're building the agentic products that runs Jetson's customer operations - and we need a product leader for it. As a Product Manager on the Agentic Products team, your customers are…
Added 1 hour ago
AT
Warehouse Agent
Air Tindi Ltd.
Yellowknife, NT
- Full-time
Added 1 hour ago
AI
Adobe Site Reliability Engineer (French)
Apptoza Inc.
Toronto, ON
- Full-time
…APIs behind the page. Capacity planning here is a financial operations discipline, not a server-sized…
Added 1 hour ago
AE
Executive Assistant
Arc'teryx Equipment
North Vancouver, BC
- Full-time
As an Executive Assistant within our Supply Chain organization, you will support specific Senior Leadership within our function. You’re a master in the art of organization, with a…
Added 1 hour ago
E
Software Engineer
Ecolab
Calgary, AB · CAN-Calgary Office Quarry Park
- Full-time
We are looking for a Software Engineer to help modernize factory operations through software, connected systems, and reliable data. You will build and improve applications that support…
Added 1 hour ago
PC
Guest Experience Supervisor
Pursuit Collection
Banff, AB
- Full-time
Create and support an engaging, memorable guest experience across all Guest Experience touchpoints.
Added 1 hour ago
AI
Adobe Site Reliability Engineer
Apptoza Inc.
Toronto, ON
- Full-time
…APIs behind the page. Capacity planning here is a financial operations discipline, not a server-sized…
Added 2 hours ago
A
CCaaS Developer
Accenture
Montreal, QC
- Full-time
Integrate CCAI Agent Assist and Amazon Q in Connect to deliver intelligent, real-time agent support.
Added 2 hours ago
D
Financial Services Agent, Business
Desjardins
Mascouche, QC
- Full-time
The incumbent works in close collaboration with account managers to perform operational and sales support tasks and help offer and deliver services to the business centre's members and…
Added 2 hours ago
C
Contact Centre Representative (Credit Counsellor, Client Account Management)
CIBC
Vancouver, BC
- Full-time
…employee share purchase plan, a vacation offering, wellbeing support, and MomentMakers, our social, points-based recognition…
Added 2 hours ago
C
Agency Associate
CIBC
Toronto, ON
- Full-time
Analytical Thinking, Business Operations, Customer Service, Operations Management, Operations Support, Prioritization, Process Improvements,
Added 2 hours ago
M
AVP, GTO Strategy & Transformation
Manulife
Toronto, ON
- Full-time
…operational transformation initiatives across customer service, operations, digital channels, workforce productivity, and support functions. Current focus areas may include contact centre…
Added 2 hours ago
R&
Guest Service Representative/Reservations Agent - The Wickaninnish Inn
Relais & Châteaux
Tofino, BC
- Full-time
Join our Front Office Team as a Guest Service Representative/Reservations Agent, where you have the opportunity to learn and grow in a Relais & Châteaux property recognized by Forbes,…
Added 2 hours ago
UC
Databricks Data Platform Engineer
Univedge Consulting LLC
Canada
- Contract
Design and deploy agentic workflows that automate platform operations, such as job failure triage, root-cause analysis, cost anomaly investigation, and remediation recommendations
Added 2 hours ago
W
(CAN) Regulated Pharmacy Technician
Walmart
New Minas, NS
- Full-time
…and the prescription is released to the correct customer or…
Added 2 hours ago
AS
Regional Manger - Quebec
Airline Services International
Montreal, QC
- Full-time
Airline Services International Inc. is an established cargo General Sales and Service Agent representing international airlines in Canada. We are seeking a commercially driven Regional…
Added 3 hours ago
AI
Agent Cargo Warehouse
Air Inuit
Montreal, QC
- Internship
The cargo warehouse agent prepares cargo shipments for departure on Air Inuit and Canadian North planes. He is also the one who receives the cargo packages that arrive on our planes.
Added 3 hours ago
PC
Information Technology Audit Manager (Bilingual FR/EN)
PwC Canada
Montreal, QC
- Full-time
…internal systems. We focus on the design, documentation, and operations of controls around the financial reporting process, including financial business process and Information Technology…

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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