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Added 7 mins ago
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OCS Design Delivery – Senior Manager
SYSTRA
Toronto, ON
- Full-time
Service-focused leadership and influencing skills to provide senior technical and administrative leadership to an operating or functional unit;
Added 7 mins ago
BO
Early Childhood Educator Assistant
BGC Okanagan
Kelowna, BC
- Full-time
Keep program facilities and equipment safe and clean, reporting any repairs and concerns to senior staff.
Added 7 mins ago
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Manager, HR
Six Nations Polytechnic
Brantford, ON
- Full-time
…and development. The position provides direct support to the Senior Director, Operations and Human Resources in ensuring employee-centered programs and processes are effectively executed…
Added 7 mins ago
UO
Platform Engineering Manager
University of British Columbia
Vancouver, BC · UBCV | The Leonard S. Klinck Building (LSK)
- $11,397 to $17,081.58 CAD / month
- Full-time
The Incumbent provides senior level expertise and direction in the area of Enterprise Integrations and is a recognized subject matter expert for the EASD responsible for management and…
Added 7 mins ago
UO
Applications Technical Lead
University of British Columbia
Vancouver, BC · UBCV | The Leonard S. Klinck Building (LSK)
- $11,397 to $17,081.58 CAD / month
- Full-time
The Incumbent provides senior level technical expertise and direction in the area of Enterprise Integrations and is a recognized technical subject matter expert throughout the ecosystem of…
Added 7 mins ago
UO
Development Coordinator, Corporate & Foundation Relations
University of British Columbia
Vancouver, BC · UBCV | David Strangway Building (STRG)
- $6,143.67 to $8,830.25 CAD / month
- Full-time
Reports to: One of: Advancement Officer, Associate Director, Manager, Director, Senior Director/Assistant Dean, or Executive Director of Development.
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Senior Fire Protection Engineer
Stantec
Markham, ON
- Full-time
We are seeking a Senior Fire Protection Engineer to join our national fire protection engineering team. In this role, you will plan, design, and deliver complex fire protection systems for…
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IT Manager
BOYNECLARKE
Dartmouth, NS
- Full-time
Collaborate with Lawyers, senior management, and other stakeholders to ensure smooth operations, security, and reliability of the Firm’s technology.
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Director of Avionics
Avmax Careers - Canada
Calgary, AB
- Full-time
Reporting to the Senior Director of Operations, Canada. The Director of Avionics leads the Avionics division through its managers and supervisors across shops, installations and line…
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IT Architect II
TD
Mississauga, ON · Toronto, ON
- Full-time
Participate in knowledge transfer with senior management, the team, other technical areas and business units
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Senior Group Manager, Audit (ATH 1146)
TD
Toronto, ON
- Full-time
…identifying issues and opportunities and recommending action to senior…
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Bilingual Client Success Coordinator (Channel Partnerships)
Maple
Toronto, ON
- Full-time
Added 7 mins ago
CS
Senior Account Executive, Europe
Carina Software
North Vancouver, BC
- £80,000 to £95,000 GBP / year
- Full-time
Added 7 mins ago
CE
Cyber Security Specialist
Cenovus Energy
Calgary, AB
- Full-time
Reporting to the Senior Manager, Cyber Security Operation, the Cyber Security Specialist is a senior technical resource within the Cyber Security Operations team, providing expert-level…
Added 7 mins ago
Senior Accountant, Infrastructure
Connor, Clark & Lunn Financial Group Ltd.
Toronto, ON
Interested in joining one of Canada’s top performing asset managers? We are looking for a Senior Accountant, Infrastructure for an existing vacancy on our Infrastructure Accounting team.
Added 7 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…
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Director, Intraday Liquidity Risk Oversight
BMO
Toronto, ON · FCP
- Full-time
Makes recommendations to senior leaders on strategy and new initiatives, based on an in-depth understanding of the business/group.
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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 22 mins ago
BW
Family Lawyer
Branion Williams Recruiting Inc.
Toronto, ON · Greater Toronto Area, Canada
- Full-time
6+ Years: More senior lawyers who can independently manage sophisticated matters and are interested in playing a meaningful role in the continued growth of the practice, including mentoring…
Added 22 mins ago
CL
General Manager - Off Campus
Campus Living Centres
Guelph, ON
- Full-time
…with company and property objectives, as well as liaise with senior managers of…
Added 22 mins ago
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Senior Group Manager, Audit (ATH 1146)
TD
Toronto, ON
- Full-time
…identifying issues and opportunities and recommending action to senior…
Added 22 mins 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 22 mins ago
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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 22 mins ago
CO
Manager Policy and Risk Management
City of Saint John
Saint John, NB
- Full-time
…Services. The incumbent will act in an advisory capacity to the senior police staff and Chief of Police in matters of research and analysis, policy, and risk management for the…
Added 22 mins ago
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Senior GRC Analyst
Quantexa
Toronto, ON
- $116,000 to $146,000 CAD / year
- Full-time
Quantexa is looking for an experienced Senior GRC Analyst to support our growing business. This role will be based in Toronto/Ottawa and will require travel to customer sites and other…

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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