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Added 8 mins ago
R|
Project Manager
RI-MUHC | Research Institute of the MUHC | #rimuhc
Montreal, QC
- Contract
…across three clinical research sites, including recruitment, data collection, budget, timelines, and project milestones. We are collecting clinical and biological data from patients…
Added 8 mins ago
S
Delivery Manager – Personalization and Marketing (7 months contract)
Sobeys
Toronto, ON
- Contract
As a Delivery Manager in Personalization and Marketing, you will lead the end-to-end delivery of multiple Advanced Analytics and AI/ML initiatives, overseeing planning, execution,…
Added 8 mins ago
CA
Project Controls Lead - NexGen Rook I
Cementation Americas
La Loche, SK
- Full-time
As Project Controls Lead, you'll coordinate cost, schedule, change, and reporting activities across the project controls team. You'll support clear handovers, coach team members, and help…
Added 8 mins ago
CI
Senior Account Manager
Citylitics Inc.
Toronto, ON
- Full-time
…intelligence. The platform integrates seamlessly with CRMs, ERPs, and data lakes, embedding actionable insights directly into sales workflows so teams can prioritize the right pursuits and…
Added 8 mins ago
RI
Senior Business Analyst
Raas Infotek
AB · Edmonton, AB
- Contract
System Requirements - Lead end user requirements workshops and document best practice requirements
Added 8 mins ago
R
Oracle Exadata Cloud@Customer (ExaCC) Senior DBA Consultant
Raise
Calgary, AB
- Full-time
ExaCC Platform Implementation & Delivery: Lead the end-to-end setup and provisioning of ExaCC environments, including OCI tenancy administration, IAM policy creation, compartment…
Added 8 mins ago
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Contract Payroll Analyst
Brunel
Calgary, AB
- $43 to $53 CAD / hour
- Contract
Take part in pay period audits and data reviews. Investigate and resolve discrepancies, or escalate them in a timely manner.
Added 8 mins ago
Y
Reliability Engineer
Yochana
Carseland, AB
- Contract
We are seeking a highly skilled and motivated Reliability Engineer to lead asset criticality assessments and reliability improvement initiatives for our Ammonia Nitrate and Nitric Acid…
Added 8 mins ago
P&
Senior Integrated Digital Commerce Manager / Gestionnaire principal(e), commerce numérique intégré
Procter & Gamble
Toronto, ON
- Full-time
Performance Measurement & Optimization: Uses real time data, advanced analytics, and cross functional partnership to drive profitable growth and best in class digital execution. Partner…
Added 8 mins ago
PC
Accounting Analyst, Master Data New Grad
PETRONAS Canada
Calgary, AB
- Full-time
We have an exciting opportunity for an early-career Accounting Analyst to join the Master Data Management and Capital Accounting team in Calgary. Reporting to the Team Lead, Master Data &…
Added 8 mins ago
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Data Associate - Data Requirements & Quality
TD
Toronto, ON · Montreal, QC
- Full-time
Perform data analysis and assist in assessing data management requirements for a specific Platform or Journey.
Added 23 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 37 mins ago
PC
Accounting Analyst, Master Data New Grad
PETRONAS Canada
Calgary, AB
- Full-time
We have an exciting opportunity for an early-career Accounting Analyst to join the Master Data Management and Capital Accounting team in Calgary. Reporting to the Team Lead, Master Data &…
Added 37 mins ago
Solutions Consultant - Advanced Process Control
Spartan Controls Ltd.
Calgary, AB · Edmonton, AB
Base understanding of Historians, Data Management, Visualization, SCADA, Analytics, Asset Management and/or IIOT software solutions would be an asset
Added 37 mins ago
FS
Manager, Public Relations and Marketing Communications – Americas
Four Seasons Hotels and Resorts
Toronto, ON · Four Seasons Corporate Headquarters Toronto
- Full-time
…Senior Director, Marketing – Americas, support the planning and lead the execution of innovative, integrated PR and marketing communications strategies that build brand awareness,…
Added 37 mins ago
SAP SuccessFactors Recruiting Lead - Manager
EY
Edmonton, AB · AB · Winnipeg, MB · Dieppe, NB · Saint John, NB · St. John's, NL · Halifax, NS · London, ON · Ottawa, ON · Toronto, ON · ON · Saskatoon, SK · Waterloo, ON · Calgary, AB
We are seeking an experienced SAP SuccessFactors Recruiting Lead – Manager to join our HR Technology practice. This role is ideal for someone who combines strategic thinking with deep…
Added 37 mins ago
Indirect Sourcing Intern
INNIO
Welland, ON
…including project management, process improvement, and master data analysis. This role will provide the opportunity to gain practical experience in sourcing, operations, and finance, with a…
Added 37 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 52 mins ago
Q
Conversation Bot Engineer - Dialogflow CX
Quantiphi
Toronto, ON
- $140,000 to $150,000 CAD / year
- Full-time
…applications. You must typically have in-depth knowledge of analyzing data, developing chatbot, automation to handle data and work with data refinement tools. Understanding business…
Added 52 mins ago
Manager, Local Sales, Calgary
Bell
Calgary, AB
Lead, coach, and support Account Executives and sales support teams to achieve and exceed revenue objectives.
Added 52 mins ago
MC
Manager, Business Banking Credit
Meridian Credit Union
Guelph, ON
- $79,100 to $110,000 CAD / year
- Full-time
…while driving profitable growth. A key responsibility is to lead a team of Analyst and Senior Analysts, with a mandate to train, develop and…
Added 52 mins ago
MD
IT Quality Analyst/Tester/SEBT Specialist - ITS3
Minnesota Direct Care and Treatment
Saint-Paul, NB · St.-Paul, NB
- Full-time
…those led by more senior Quality Assurance Analyst/Testing Lead (ITS4 and ITS5). The QA staff at this level require more direction, coaching, and mentoring when leading the quality…
Added 52 mins ago
TU
Clinical Research Coordinator
The University of British Columbia
Vancouver, BC
- $4,845.17 to $5,713.66 CAD / month
- Full-time
…enrollment. Additionally, they will ensure that samples and data are properly collected and…
Added 52 mins ago
TI
Senior AEM Lead Web Publisher
Tekgence Inc
Toronto, ON
- Contract
We are looking for a Senior AEM Lead Web Publisher with strong experience in Adobe Experience Manager (AEM), web content management, and digital publishing. The candidate will be…
Added 52 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
…Digital Officers, Customer Experience leaders, Product leaders, Data and Analytics leaders, and other business decision-makers. The Interactive Partner serves as a trusted advisor, helping…

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.

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

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