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Added 3 mins ago
II
Director, AI Applications Development
iVedha Inc.
Toronto, ON
- Full-time
Ability to lead and mentor AI engineers, drive architecture decisions, manage delivery, and partner with business stakeholders to deliver strategic AI initiatives.
Added 3 mins ago
IH
Manager | Medical Staff Retention & Experience
Interior Health Authority
Kelowna, BC
- Full-time
…in these areas, including representing IH when engaging with partner organizations and…
Added 3 mins ago
OH
Specialist, Palliative Care Implementation
Ontario Health | Santé Ontario
Toronto, ON
- Full-time
Partner with the Lead – Palliative Care Implementation and Ontario Health regional teams to deliver a high-priority, complex, multi-year initiative.
Added 3 mins ago
A
Junior Accountant
Appnovation
Vancouver, BC
- Full-time
Partner with teams across the company to resolve AP inquiries
Added 3 mins ago
AE
Financial Analyst, FP&A – Gross Margin
Arc'teryx Equipment
North Vancouver, BC
- Full-time
Building working relationships with directors, cost owners, and functional teams, acting as a reliable and knowledgeable business partner for planning and reporting needs
Added 3 mins ago
IH
Life Skills Worker | MHSU
Interior Health Authority
Kelowna, BC
- Full-time
Interior Health and our partner agencies provide a range of mental health and substance use services for all ages. We strive to ensure that our services are welcoming of all peoples, gender…
Added 3 mins ago
A
Mechanical Engineer (Onsite)
Alchemy
Waterloo, ON
- $100,000 to $135,000 CAD / year
- Full-time
Partner with Product on requirements and prioritization; with Operations and Manufacturing on scalability, yield and QC; and with our formulation and testing teams on material behaviour
Added 18 mins ago
TB
Part-Time Retail Staff
The Beer Store
Orillia, ON
- Part-time
…beer retailer, a leading beverage distributor, and a trusted partner in beverage alcohol recycling and stewardship. Our success is driven by the people behind our business. Across our…
Added 18 mins ago
SC
Retail Sales Supervisor
Staples Canada
Yellowknife, NT
- Full-time
…adopting, and teaching new trends, products, and services. Partner with store leaders to set and execute sales goals and…
Added 33 mins ago
WC
(CAN) Associé, cosmétiques
Walmart Canada
Val-d'Or, QC
- Full-time
…merchandise from the backroom to the sales floor. As a trusted partner in loss prevention, you help protect company assets through attention to detail and strong product awareness. This…
Added 33 mins ago
FN
Regional Manager,Traditional Health & Wellness
First Nations Health Authority
Ladysmith, BC
- Full-time
The first of its kind in Canada, FNHA works as a health-and-wellness partner with BC First Nations to support self-determination and decision-making to improve health outcomes.
Added 33 mins ago
CC
Merchandiser - Full time
Coca-Cola Canada Bottling Limited
Terrace, BC
- Full-time
Coke Canada supplies some of Canada’s favourite beverage brands, and we want to continue to be the leading beverage partner in Canada, creating a better future and delivering optimism by…
Added 33 mins ago
KR
Accounting Manager
Kassen Recruitment
Medicine Hat, AB
- Full-time
Partner with operational leaders and other departments to provide financial guidance and support business decisions
Added 33 mins ago
CC
Distribution Analyst
Coca-Cola Canada Bottling Limited
Brampton, ON
- Full-time
Coke Canada supplies some of Canada’s favourite beverage brands, and we want to continue to be the leading beverage partner in Canada, creating a better future and delivering optimism by…
Added 33 mins ago
CC
Merchandiser, Part-Time - Brampton/Woodbridge
Coca-Cola Canada Bottling Limited
Brampton, ON
- Part-time
Coke Canada supplies some of Canada’s favourite beverage brands, and we want to continue to be the leading beverage partner in Canada, creating a better future and delivering optimism by…
Added 33 mins ago
CC
Merchandiser, Part-Time - Oakville/Mississauga/Milton
Coca-Cola Canada Bottling Limited
Brampton, ON
- Part-time
Coke Canada supplies some of Canada’s favourite beverage brands, and we want to continue to be the leading beverage partner in Canada, creating a better future and delivering optimism by…
Added 33 mins ago
CC
Merchandiser, Part-Time - Etobicoke/North York
Coca-Cola Canada Bottling Limited
Brampton, ON
- Part-time
Coke Canada supplies some of Canada’s favourite beverage brands, and we want to continue to be the leading beverage partner in Canada, creating a better future and delivering optimism by…
Added 33 mins ago
KR
Cost Accountant
Kassen Recruitment
Tillsonburg, ON
- Full-time
Partner with operational teams to improve cost visibility and help translate financial results into actionable business insights
Added 33 mins ago
A
Digital Transformation Project Manager
Affinity
Surrey, BC
- Contract
Manage both technical and business resources assigned to the project from our ERP implementation partner and any other vendor as required. Track hours of vendors against a budget.
Added 33 mins ago
KR
Property Accountant
Kassen Recruitment
Vancouver, BC
- Full-time
The role offers an opportunity to take ownership of a portfolio, build strong stakeholder relationships, and develop into a trusted financial partner to the broader organization.
Added 33 mins ago
A
WHS Specialist
Amazon
Ottawa, ON
- Full-time
Added 33 mins ago
TS
Executive Director
THRIVE Social Services Society
Victoria, BC
- Full-time
…position the organization as a trusted and impactful community…
Added 33 mins ago
A
WHS Specialist
Amazon
Mississauga, ON
- Full-time
Added 33 mins ago
TM
Ice Cream Process Engineer
The Magnum Ice Cream Company
ON · Simcoe, ON
- Full-time
Added 33 mins ago
KR
Financial Analyst, FP&A
Kassen Recruitment
Toronto, ON
- Full-time
Partner with finance and operational stakeholders to gather information and support their reporting and analysis needs.

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 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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