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Added 10 mins ago
MC
Technical Consultant III (35732)
Myticas Consulting
Toronto, ON
- Full-time
You will also lead the deployment of assigned products, modules, configurations, integrations, and technical components across development, QA, integration, UAT, staging, and other lower…
Added 10 mins ago
L
Staff Software Engineer - Checkout and Post Purchase Web Experiences
lululemon
Vancouver, BC
- Full-time
The lower funnel experiences teams are a global development team responsible for the web checkout and post-purchase experiences on the lululemon.com website and are responsible for critical…
Added 10 mins ago
L
Assistant Manager, Guest Experience | Whistler Village
lululemon
BC · British Columbia, Canada
- Full-time
Lead an exceptional guest (customer) experience on the floor through assessing the level of guest connection and technical product education and supporting team members to address gaps…
Added 10 mins ago
MC
Solutions Architect – AWS Node.js Digital Banking (35654)
Myticas Consulting
Toronto, ON
- Contract
Lead and mentor development teams through complex technical implementations.
Added 10 mins ago
TS
TDS Operations Analyst III
TD Securities
Toronto, ON
- Full-time
…opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been…
Added 10 mins ago
A
Director of Knowledge Management - NAMER
Ashby
Canada
- Full-time
That’s why we’re hiring our first Director of Knowledge Management. You’ll lead a team of Knowledge Managers and expand the team into new areas, including Digital Support experience and…
Added 10 mins ago
SM
Business Manager Operations Engineering Services
St. Michael's Hospital
Toronto, ON
- Full-time
…planning/monitoring, workflow planning, strategic planning, development of business cases, planning/tracking capital equipment needs and various resource management activities for the…
Added 10 mins ago
LD
Product Manager, Digital Health (14 month contract)
Loblaw Digital
Toronto, ON
- Full-time
Lead product discovery and delivery, working closely with Engineering, Design and cross-functional partners to bring new capabilities and enhancements to market.
Added 10 mins ago
A
Sales Associate - Northland Volkswagen
AutoCanada
Calgary, AB
- $70,000 to $200,000 CAD / year
- Other
…vehicle purchase process. Through exceptional customer service, product knowledge, and relationship-building skills, you will help customers find the right vehicle while creating an…
Added 10 mins ago
MC
Senior QA Engineer III – Automation | Banking | API | Kafka | ETL (35729)
Myticas Consulting
Ottawa, ON
- Full-time
This is a senior, hands-on quality engineering role focused on automation framework development, API and backend testing, Kafka/event-driven testing, ETL and data pipeline validation,…
Added 10 mins ago
MC
Link Layer Integration Testing Manager (35387)
Myticas Consulting
Ottawa, ON
- Full-time
…operational readiness criteria. The successful candidate will lead a team of Verification & Validation (V&V) engineers while collaborating closely with Systems Engineering, RF Engineering,…
Added 10 mins ago
TM
Wireless Store Manager
The Mobile Shop
Saint John, NB
- Full-time
Lead and Inspire Your Team: Motivate and guide a team of Wireless Sales Representatives to achieve sales targets and objectives, while providing ongoing coaching, training, and development…
Added 10 mins ago
C
Director, Product Development & External Manufacturing
Corinex
Vancouver, BC
- Full-time
We are seeking a strategic, technically capable, and hands-on Director, Product Development & External Manufacturing to lead the execution of Corinex’s hardware and semiconductor product…
Added 10 mins ago
AI
Project Procurement Lead
ATS Industrial Automation
Cambridge, ON
- Full-time
…we promise - on time and on budget. Combined with our broad product portfolio, financial strength and global presence, we provide our customers with the best automation solutions wherever…
Added 10 mins ago
SG
Senior Manager, Investment Distribution Management - JFL Equity Research
Scotia Global Asset Management
Montreal, QC
- Full-time
Lead the development of product-specific materials and business development support, including briefing notes, product positioning summaries, and client presentation materials that…
Added 10 mins ago
C
Director, Product Marketing
Corinex
Vancouver, BC
- Full-time
…technology; translate their operational challenges into compelling product value propositions; and work hands-on with Product Development, Engineering, Sales, and Marketing to bring…
Added 10 mins ago
L
Cybersecurity Analyst - Threat Intelligence
lululemon
Vancouver, BC
- Full-time
…connecting, and being well. We owe our success to our innovative product, emphasis on stores, commitment to our people, and the incredible connections we make in every community we're in.…
Added 10 mins ago
L
Tax Technology Analyst, e- Invoicing
lululemon
Vancouver, BC
- Full-time
…connecting, and being well. We owe our success to our innovative product, emphasis on stores, commitment to our people, and the incredible connections we make in every community we're in.…
Added 10 mins ago
M
Account Manager
Mentimeter
Toronto, ON
- Full-time
World-class lead-generation from the Marketing and Product teams
Added 10 mins ago
L
Product Manager
Linedata
Toronto, ON
- Full-time
Serves as the product owner throughout the product lifecycle, providing support and guidance to development and quality assurance teams.
Added 10 mins ago
RI
Senior Marketing Manager
Rentokil Initial
Milton, ON
- $100,000 to $130,000 CAD / year
- Full-time
…quality. We support our self-motivated team's professional development and personal goals with an environment that provides ongoing training, financial incentives for excellence, and…
Added 11 mins ago
Insurance Associate
Odlum Brown
Vancouver, BC
…delivery, and support ongoing policy service. You will also lead insurance marketing initiatives, working closely with Estate and Insurance Planners, Investment Advisors, Portfolio…
Added 11 mins ago
FP
Restaurant & Banquet Manager
Four Points by Sheraton Kelowna Airport
Kelowna, BC
- $60,000 to $64,000 CAD / year
- Full-time
Interacts with guests to obtain feedback on product quality and service levels.
Added 11 mins ago
CT
Director, Product Development & External Manufacturing
Corinex Technologies Corp.
Vancouver, BC
- Full-time
We are seeking a strategic, technically capable, and hands-on Director, Product Development & External Manufacturing to lead the execution of Corinex’s hardware and semiconductor product…
Added 11 mins ago
CT
Director, Product Marketing
Corinex Technologies Corp.
Vancouver, BC
- Full-time
…technology; translate their operational challenges into compelling product value propositions; and work hands-on with Product Development, Engineering, Sales, and Marketing to bring…

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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