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Added 22 mins ago
V|
Gestionnaire de projets / Project Manager
Veolia | North America
Montreal, QC
- Full-time
Assurer le leadership au sein de l'équipe de projet (travailler en collaboration avec diverses parties prenantes des équipes techniques : ingénierie, conception, mise en service, production)
Added 22 mins ago
HC
International Customer Service Advisor - RPT
Humber College
Toronto, ON
- Internship
Added 22 mins ago
CH
Director of Food & Beverage
Crescent Hotels & Resorts
Rossland, BC
- Full-time
Partner with culinary leaders on menu development, quality, consistency, food cost, production and kitchen execution.
Added 22 mins ago
HB
Trading Application Support Engineer: $180,000cad + Bonus (Quant Fund)
Hunter Bond
Montreal, QC
- Full-time
…your impact is felt immediately. The position blends real-time production support for cutting-edge electronic trading systems with hands-on engineering and automation…
Added 22 mins ago
TS
Financial Controller
T&T Supermarket
Richmond, BC
- $130,000 to $150,000 CAD / year
- Full-time
…policies and measures to ensure our Stores, Food Processing & Production Centres and Warehouse & Distribution are as safe as…
Added 22 mins ago
Lead SAP FICO/FSCM Consultant
Infosys
Canada
…owning solution design, configuration, integration, testing, and production…
Added 22 mins ago
U
Environment Technical Consultant (Life Cycle Assessment Documentation)
UNDP
Montreal, QC
- $7,562 to $10,910 CAD / month
- Full-time
Under coordination of the supervisor, support the ICAO process to evaluate new fuel sources and pathways for production of CORSIA eligible fuels, achieving results such as:
Added 22 mins ago
R
Associate Operations Representative – Deposit Processing
RBC
Saanich, BC
- Part-time
…transactions, using basic understanding of products and processes in a production environment. Activities may also be dependent tasks or practical applications with emphasis on throughput,…
Added 22 mins ago
SC
Experienced Intermediate Software Engineer, Ruby on Rails
SureSwift Capital
Remote, Canada
- $90,000 to $120,000 CAD / year
- Full-time
- Remote
You'll own what you build in our Ruby on Rails app, from idea to production. That includes features, the imports that bring in trades from traders' brokers, and AI features that help…
Added 22 mins ago
T
Data Associate - Data Requirements & Quality
TD
Toronto, ON · Montreal, QC
- Full-time
Maintain foundational knowledge of upstream data, including knowledge provided through data profiling, data quality reporting, and via the production of metadata
Added 37 mins ago
SL
Business Development Partner
Sun Life
AB · Red Deer, AB
- Full-time
Achieve key recruiting and production metrics.
Added 37 mins ago
PhD Machine Learning Engineer, Intern
Stripe
Toronto, ON
Write production-scale ML models that will be deployed to help Stripe enable economic infrastructure access for a diverse range of businesses globally.
Added 37 mins ago
Master's Machine Learning Engineer, Intern
Stripe
Toronto, ON
Write production-scale ML models that will be deployed to help Stripe enable economic infrastructure access for a diverse range of businesses globally.
Added 37 mins ago
C
Java Developer - Rates Technology
Citi
Mississauga, ON · Toronto, ON
- Full-time
Production Support: You will serve as a third-line support contact for the production system, handling escalated issues that require deep technical analysis. This role is supported by…
Added 37 mins ago
B
Senior Director, Project Delivery (Hybrid)
Broadridge
Toronto, ON
- Full-time
…ensuring business requirements, controls and procedures are production-ready at…
Added 51 mins ago
RL
Chief Operating Officer
Republic Live Inc
Canada
- Full-time
Oversee operational performance across live events, venue activities, production, ticketing, partnerships, and related business functions.
Added 1 hour ago
GA
Business Readiness Coordinator (9 Month Contract)
Give and Go Prepared Foods
Toronto, ON · Etobicoke, ON
- $30 to $35 CAD / hour
- Contract
Coordinate end-user training schedules across corporate offices, distribution centres, and multiple plant locations across various production shifts.
Added 1 hour ago
MC
Senior Accountant - strong experience using Microsoft Dynamics GP (Great Plains).
Multinational Corporation
Mississauga, ON
- Full-time
…customers across North America, is seeking an experienced Senior Accountant to join their finance…
Added 1 hour ago
KI
PL/SQL Developer in Montreal, QC- Canada - Interviews this weekend
KPG99 INC
Montreal, QC
- Contract
Support production systems and troubleshoot application and database issues
Added 1 hour ago
RD
Vb.net Developer
Randstad Digital
Toronto, ON
- Contract
Testing & Production Support: Conduct unit testing, assist QA with integration and UAT cycles, investigate L3 support issues, and perform root-cause analysis on production defects.
Added 1 hour ago
Senior Software Engineer
EarnIn
Vancouver, BC
…and take full ownership of what you ship from idea through…
Added 1 hour ago
GC
Food & Beverage Outlets Manager (Full Time)
Granite Club
Toronto, ON · North York, ON
- Full-time
Strong knowledge of food & beverage production and presentation techniques and equipment
Added 1 hour ago
Business Readiness Coordinator (9 Month Contract)
Give and Go Prepared Foods
Toronto, ON
Coordinate end-user training schedules across corporate offices, distribution centres, and multiple plant locations across various production shifts.
Added 1 hour ago
TS
Accounting Analyst, Clean Energy
The Skyline Group of Companies
Guelph, ON
- Full-time
…investment fund, focused on investing in renewable and clean energy production. The fund generates revenue through producing clean, sustainable power via clean energy assets, such as…
Added 1 hour ago
O
Manager, Corporate Reporting and Financial Services
OPTrust
Toronto, ON
- Full-time
Coordinate the accurate and timely production and filing of pensioner

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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