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Added 7 mins ago
Emergency Management Specialist
GHD Group Pty Ltd
Ottawa, ON · Nepean, Ontario
…Central region to grow your career to the next level! As a Senior Specialist (Emergency Management), you will play a meaningful role within our Environmental Group. This position gives the…
Added 7 mins ago
W
Director, Executive Compensation & Board Advisory Consulting
WTW
Calgary, AB
- $110,000 to $150,000 CAD / year
- Full-time
…strategy and preparation) to those involving other lines of business such as M&A due diligence and integration, total rewards strategy design and optimization assessments. Client…
Added 7 mins ago
FS
Director, Transformation & Regulatory Modernization
Financial Services Regulatory Authority (FSRA)
Toronto, ON · FSRA Head Office
- Full-time
To provide strategic leadership, business ownership, and program direction for FSRA’s Property & Casualty Auto Transformation Program, a multi-year initiative to modernize auto insurance…
Added 7 mins ago
Senior Eddy Current Specialist
BWXT
Kitchener, ON
…of skills to support our work in the markets that drive our business and welcome candidates from all backgrounds and life stages who are passionate about making a…
Added 7 mins ago
PG
Account Supervisor
Publicis Groupe Holdings B.V
Toronto, ON
- $75,000 to $85,000 CAD / year
- Full-time
Most importantly, you bring good judgement, curiosity and maturity. You can walk into a room with people more senior than you, know your material, communicate your point of view clearly and…
Added 22 mins ago
WT
Security Incident Response Developer
Wealthsimple Technologies
Remote, Canada
- $123,200 to $154,000 CAD / year
- Full-time
- Remote
…join our Detection & Response team as an Incident Response Developer. You’ll report to the Manager of Detection & Response and work closely with senior responders to investigate security…
Added 22 mins ago
WT
Senior Security Incident Response Developer
Wealthsimple Technologies
Remote, Canada
- $151,200 to $189,000 CAD / year
- Full-time
- Remote
We are seeking an experienced and hands-on security professional to join our Detection & Response team as a Senior Incident Response Developer. Reporting to the Manager of Detection &…
Added 22 mins ago
UH
Research Technician II
University Health Network
Toronto, ON
- Contract
Act as the primary contact for purchasing, receiving and reconciling orders of reagents, consumables and equipment, working with the business officer and against multiple grant accounts.
Added 36 mins ago
M&
Video Producer - Reach & Engagement
McKinsey & Company
Toronto, ON
- Full-time
…collaborate with editors and subject-matter experts, including senior McKinsey partners and executives at leading organizations, as well as colleagues who manage the firm's YouTube and…
Added 36 mins ago
OC
MANAGER OF ENTERPRISE STRATEGY AND DATA MGT
Ontario College of Teachers
Toronto, ON
- $145,252 to $158,721 CAD / year
- Full-time
…organizational goals, drives IT and data governance, and maximizes business value through effective use of data and analytics. The manager leads a multidisciplinary team, fosters…
Added 36 mins ago
MC
Senior Software Engineer - Brokerage Platform
Moomoo Canada
Toronto, ON · North York, ON
- Full-time
…leader, we equip investors with cutting-edge technology, market intelligence, and client experience that stands apart. Whether you're new to investing or a seasoned trader, Moomoo offers…
Added 36 mins ago
LG
Executive Chef | Rogers Centre
Legends Global
Toronto, ON
- Full-time
Working collaboratively with senior leadership and cross-functional teams, the Executive Chef drives finance performance through effective food cost management, labour optimization,…
Added 36 mins ago
GE
Internal Auditor, Technology Audit & Data Analytics
Gibson Energy
Calgary, AB
- Full-time
The Internal Auditor reports directly to the Senior Manager Internal Audit, Controls and Enterprise Risk. This role is responsible for delivering the organization’s risk-based Internal…
Added 36 mins ago
Senior Oracle HCM Consultant - TERM
The City of Red Deer
Red Deer, AB
The City of Red Deer is recruiting for the right person to fill the 2-year term position of Senior Oracle HCM Consultant. The Senior Oracle HCM Consultant provides technical expertise in…
Added 36 mins ago
NF
Assistant Store Manager - Temporary 12 Months
Nature's Fare Markets
White Rock, BC
- Contract
…superior customer service day-in and day-out. As a part of our senior leadership team, the Assistant Store Manager must live and model our core values while fostering a positive and…
Added 52 mins ago
M
Bilingual Client Success Coordinator (Channel Partnerships)
Maple
Toronto, ON
- Full-time
Support onboarding for new small business clients and partner groups, including communications, eligibility updates, and related administrative tasks
Added 52 mins ago
CT
Senior BI Analyst
Canadian Tire Corporation
Oakville, ON · Toronto, ON
- Full-time
As a Senior BI Analyst, you will play a key role in transforming data into actionable business insights. You will work across the full analytics lifecycle, partnering with business…
Added 52 mins ago
AG
Executive Chef | Rogers Centre
ASM Global
Toronto, ON · Rogers Centre
- Full-time
Working collaboratively with senior leadership and cross-functional teams, the Executive Chef drives finance performance through effective food cost management, labour optimization,…
Added 1 hour ago
CO
Director, Health, Safety, & Organizational Resilience
City of Saint John
Saint John, NB
- Full-time
The Director will provide strategic advice to senior leadership on occupational health and safety, enterprise risk, regulatory compliance, emerging workplace risks, and organizational…
Added 1 hour ago
O
Lead UX Developer (React)
OpenText
Waterloo, ON
- Full-time
…collaboration are key components of our corporate culture. As a Lead UX Developer on the Viewing and Transformation Development team, you will independently design, build, and constantly…
Added 1 hour ago
HA
Senior Data Analyst
HR Associates
Toronto, ON
- Temporary
This opportunity is ideal for someone with strong hands-on experience in data analytics, statistical analysis and business intelligence who can turn complex data into meaningful insights to…
Added 1 hour ago
HT
Director, Finance (CSM)
Husky Technologies
Bolton, ON
- Full-time
Serve as the senior finance partner to service leadership, operations, commercial teams, and Customer Success leaders, providing insight and challenge on strategic priorities, business…
Added 1 hour ago
HT
IT Internal Auditor
Husky Technologies
Bolton, ON
- Full-time
…drive efficiency and effectiveness in financial processes, business operations and major initiatives. You will play a key role within the Internal Audit Department to test the effectiveness…
Added 1 hour ago
HT
Financial Manager - PLM (Product Line Mgmt)
Husky Technologies
Bolton, ON
- Full-time
Experience partnering with senior business stakeholders
Added 1 hour ago
LM
DIRECTOR OF INFORMATION TECHNOLOGY
Lacroix Médecine Privée
Quebec, QC
- Full-time
They provide leadership for technology strategy, infrastructure, business systems, cybersecurity, data governance, digital transformation, and artificial intelligence.

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 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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