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Added 2 mins ago
DC
Project Manager
Dillon Consulting Limited
Winnipeg, MB
- Full-time
Lead the implementation of innovative and strategic approaches to project delivery and business development
Added 2 mins ago
S
Manager, Technical Consulting
Staffbase
Canada
- $105,000 to $141,000 CAD / year
Lead and develop the Technical Consultants in North America, including hiring, coaching, performance management, and career development
Added 17 mins ago
SH
Clinical Coordinator AHF - Full Time
Southlake Health Community
Newmarket, ON · Southlake Health
- Full-time
…practices across both sites. The role also contributes to program development, operational planning, performance monitoring, and the standardization of clinical processes to ensure…
Added 17 mins ago
Project Manager
ERCO Worldwide
Saskatoon, SK
ERCO Worldwide is looking for a Project Manager to join our Saskatoon team! The Project Manager leads development and execution of projects to improve process safety, operations,…
Added 17 mins ago
ML
Director, Taxation
Maple Leaf Foods Inc
Mississauga, ON
- Full-time
Lead and inspire your two direct reports and manage the tax team‘s income tax activities (may also include commodity taxes for an experienced candidate).
Added 17 mins ago
O
Legal Counsel
OpenText
Waterloo, ON
- Full-time
Ability to lead negotiation and drafting efforts on a wide range of SaaS commercial technology agreements including cloud services agreements, software licenses, and professional services.
Added 17 mins ago
O
Legal Counsel
OpenText
Ottawa, ON
- Full-time
Ability to lead negotiation and drafting efforts on a wide range of SaaS commercial technology agreements including cloud services agreements, software licenses, and professional services.
Added 17 mins ago
O
Legal Counsel
OpenText
Toronto, ON
- Full-time
Ability to lead negotiation and drafting efforts on a wide range of SaaS commercial technology agreements including cloud services agreements, software licenses, and professional services.
Added 17 mins ago
S
Food Safety Program Manager
Sysco
Toronto, ON · Sysco Toronto
- Full-time
Serves as the Food Safety customer lead at the site.
Added 17 mins ago
SL
AVP, Threat and Vulnerability Management
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto One York
- Full-time
…(DSTM) under Security, Risk & Crisis Management (SRC), you will lead Sun Life’s global capability for identifying, assessing, prioritizing, and mitigating cyber vulnerabilities and threats…
Added 17 mins ago
MI
Quality Engineer
Marmon Industrial Water
Burlington, ON
- Full-time
As a Quality Engineer, you will act as the project Quality Lead for new projects and maintain responsibility for performing the project’s Quality documentation, and inspection activities.…
Added 17 mins ago
O
Legal Counsel
OpenText
Richmond Hill, ON
- Full-time
Ability to lead negotiation and drafting efforts on a wide range of SaaS commercial technology agreements including cloud services agreements, software licenses, and professional services.
Added 17 mins ago
O
Legal Counsel
OpenText
Mississauga, ON
- Full-time
Ability to lead negotiation and drafting efforts on a wide range of SaaS commercial technology agreements including cloud services agreements, software licenses, and professional services.
Added 17 mins ago
B
Senior Analyst & AI Agent Solutions, Human Resources Information System
Bombardier
Dorval, QC
- Full-time
…our industry and beyond. By prioritizing employee growth and development, we empower everyone to reach their full potential on their own terms, because the best work happens when you are…
Added 17 mins ago
SG
Data Engineer
Semios Group
Vancouver, BC
- $95,000 to $115,000 CAD / year
- Full-time
Optimize pipeline performance and cost (partitioning, clustering, incremental models), and lead refactoring and migrations
Added 32 mins ago
ACCOUNT MANAGER - CONTRACT
Green Shield Canada
Toronto, ON
Schedule and lead meetings with Advisors and clients to review renewals, discuss plan performance, and recommend plan design changes.
Added 32 mins ago
AP
Full Stack Team Lead
Accommodations Plus International
Markham, ON
- $130,000 to $140,000 CAD / year
We’re hiring a Full Stack Team Lead with software architecture experience to provide both hands-on full stack development and strategic architectural direction for our Java development…
Added 32 mins ago
Senior Accountant, Corporate Accounting
Inter Pipeline Ltd.
Calgary, AB
Lead, coach and technically guide staff accountants, supporting development and quality work that meets accounting standards and controls
Added 32 mins ago
ML
Production Supervisor
Maple Leaf Foods Inc
Saskatoon, SK
- Full-time
…providing leadership and guidance to our team members. You lead by example and inspire your team to deliver top results. You are passionate about safety and promote a culture where safety…
Added 47 mins ago
Director, Design Operations - Global Wealth Management
Scotiabank
Toronto, ON
Lead and develop the Design Operations team by setting performance expectations, coaching team members, supporting career development, and building an inclusive, accountable, and…
Added 47 mins ago
Director, Product Design - Global Wealth Management
Scotiabank
ON · Ottawa, ON
Lead and develop a multidisciplinary design team by setting performance expectations, coaching team members, supporting career development, and building an inclusive, accountable, and…
Added 47 mins ago
U
Proposal Developer – Renewables (CAN)
Ulteig
Canada
- Full-time
Initiate and lead assigned Renewables proposal efforts from intake through final submission, including proposal planning, schedule development, stakeholder coordination, proposal document…
Added 47 mins ago
U
Proposal Engineer – Renewables (CAN)
Ulteig
Canada
- Full-time
Initiate and lead assigned Renewables proposal efforts from intake through final submission, including proposal planning, schedule development, stakeholder coordination, proposal document…
Added 47 mins ago
EP
Digital Marketing Lead
Earthscape Play
Remote, Canada
- $90,000 to $100,000 CAD / year
- Full-time
- Remote
Multi-Channel Campaign Execution: Lead integrated campaigns from brief to launch across social media, email, web, and collateral, partnering with Marketing, Sales, Product Development, and…
Added 47 mins ago
IR
Website and Digital Experience Specialist
Islamic Relief Canada
Burlington, ON · ON · Ontario
- Full-time
Lead A/B testing on landing pages and content to optimize conversion rates

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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