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Added 8 mins ago
C
Simplii Financial Personal Banking Representative - (12 Months contract)
CIBC
Halifax, NS
- Full-time
We may ask you to complete an attribute-based assessment and other skills test (such as simulation, coding, French proficiency).
Added 23 mins ago
RS
AZ Cross Border Truck Driver - Texas
Ryder System, Inc.
London, ON
- Full-time
Capable of multi-tasking, highly organized, with excellent time management skills required
Added 23 mins ago
CO
Application & Integration Technical Analyst
City of Saint John
Saint John, NB
- Full-time
…Analyst is a technical lead responsible for system architecture, data strategy, and integration frameworks, ensuring the reliability, scalability, and security of critical business systems.…
Added 23 mins ago
O
Lead UX Developer (React)
OpenText
Waterloo, ON
- Full-time
OpenText is a global leader in information management, where innovation, creativity, and collaboration are the key components of our corporate culture. As a member of our team, you will…
Added 23 mins ago
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Sap Finance Control Consultant
PIXIE
Montreal, QC
- Contract
Prepare and execute UAT, including test scenarios and test data.
Added 23 mins ago
HT
Mechanical Designer (Fluidpower)
Husky Technologies
Bolton, ON
- Full-time
Cross discipline interaction and communication including cross discipline inputs – Analysis, Electrical, Software, Mechanical, Metallurgy, Manufacturing, Validation/Test
Added 23 mins ago
HT
PD Software for Service
Husky Technologies
Bolton, ON
- Full-time
…problem solving process, the team member will analyze service data, identify/investigate potential root causes, verify true root causes, and develop permanent corrective…
Added 23 mins ago
HT
PD Service - Mechanical
Husky Technologies
Bolton, ON
- Full-time
…problem solving process, the team member will analyze service data, identify/investigate potential root causes, verify true root causes, and develop permanent corrective…
Added 23 mins ago
HT
IT Internal Auditor
Husky Technologies
Bolton, ON
- Full-time
…will play a key role within the Internal Audit Department to test the effectiveness of Internal Controls and Financial Processes to support the successful execution of our internal audit…
Added 23 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 23 mins ago
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Senior Metallurgical Engineer
Worley
AB · Edmonton, AB
- Full-time
Provide expert technical assurance and peer review for complex or high-risk design decisions, material selections, and integrity management strategies.
Added 23 mins ago
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Senior Metallurgical Engineer
Worley
Calgary, AB
- Full-time
Provide expert technical assurance and peer review for complex or high-risk design decisions, material selections, and integrity management strategies.
Added 23 mins ago
SH
Psychology Associate - CHP - Child and Adolescent
Shared Health-Soins Communs
Winnipeg, MB
- Volunteer
Working knowledge of statistical analysis and data management skills.
Added 23 mins ago
UO
Associate Registrar, Enrolment Services, Office of the Registrar
University of Calgary
Calgary, AB
- Full-time
Reporting directly to the University Registrar & Vice-Provost (Integrated Enrolment Management), the position ensures the effective, coordinated and student-centered operation of in-person…
Added 23 mins ago
Sr. Competitive Systems Designer (Apex Legends)
Electronic Arts
Vancouver, BC
…leaderboards, scoring, rewards, and new ways for players to test their…
Added 23 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 23 mins ago
M
RQ11656 - Systems Testing/QA Specialist - Senior
Maarut
Toronto, ON
- Contract
Assist with planning and creating test data as it relates to each test phase
Added 23 mins ago
M
RQ11569 - Software Developer - Senior
Maarut
Toronto, ON
- Contract
specifications, writing and/or generating code, compiling data-driven programs,
Added 53 mins ago
QT
Développeur logiciel principal - rapports et analyses / Senior Software Developer - Reporting
Quantum Technology Recruiting Inc. (QTR)
Montreal, QC
- $100,000 to $120,000 CAD / year
- Full-time
- Créer des modèles de données relationnels et analytiques (entrepôts de données, schémas en étoile, data marts)
Added 53 mins ago
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Payroll Analyst (part time)
Raise
Calgary, AB
- Part-time
Review, coordinate and manage all aspects of SAP Time and Schedule queries (update, audit, review, test, validate)
Added 54 mins ago
Lead SAP FICO/FSCM Consultant
Infosys
Canada
Provide expertise in Material Ledger and Product Costing, including integration across Finance, Controlling, and Materials Management/manufacturing processes.
Added 54 mins ago
Medical Lab Technologist (BCGEU), Mid Low Chemistry
LifeLabs
Burnaby, BC
Utilize laboratory information systems for specimen processing, test management, and result reporting.
Added 54 mins ago
A
Digital Imaging PACS Administrator
Accenture
Mississauga, ON · Montreal, QC
- Full-time
7. Assist in translating requirements and use cases into test conditions and expected results for product, performance, and user acceptance testing.
Added 54 mins ago
P&
Senior Integrated Digital Commerce Manager / Gestionnaire principal(e), commerce numérique intégré
Procter & Gamble
Toronto, ON
- Full-time
…longer term, and bringing the agility, grit and passion to test and learn the path forward to breakthrough…
Added 1 hour ago
PC
Business Analyst IT (Co-op)
Powerex Corp.
Vancouver, BC
- Full-time
- Temporary
…and reported on. If you are keen to learn how technology and data solve real-world problems in the energy trading industry, we want to hear from…

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 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
Model Validation
Feature Engineering
Technical Leadership

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
Data Engineering
Cloud Platforms
Vertex AI
LangChain
LangGraph
PyTorch
TensorFlow
Pandas
NumPy
SciPy
Scikit-learn
Statsmodels
Model Risk Management
Responsible AI
Data Governance
Predictive Analytics
Feature Engineering
Vector Search
CI/CD
People Analytics

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