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Added 9 mins ago
FR
Sustainability Analyst (TOR)
Fitch Ratings
Toronto, ON
- Full-time
…Intelligent solutions are increasingly part of our day-to-day operations, helping teams work more efficiently and think differently as we continue to evolve. We’re looking for colleagues…
Added 10 mins ago
SL
Business Development Partner
Sun Life
AB · Red Deer, AB
- Full-time
Oversee required measures and activities to ensure compliant operations.
Added 10 mins ago
C
Director, FX Payments & Banking Strategic Projects
Corpay
Toronto, ON
- Full-time
…Cross-Border division. This position falls under our Payments Operations line of business and is located in Toronto, Canada. In this role, you will lead strategic operational initiatives…
Added 10 mins ago
AE
Branch Representative
Avenir Energy
Sydney Indian Reserve No. 28A, NS
- Full-time
…are a fast-paced, customer-focused, field-based business with operations across the country and a commitment to excellence. With over 400 dedicated team members, we are driven to become the…
Added 10 mins ago
PhD Machine Learning Engineer, Intern
Stripe
Toronto, ON
Expertise in areas of machine learning such as supervised and unsupervised learning techniques, ML operations, and possibly experience in Large Language Models or Reinforcement Learning.
Added 10 mins ago
Master's Machine Learning Engineer, Intern
Stripe
Toronto, ON
Expertise in areas of machine learning such as supervised and unsupervised learning techniques, ML operations, and possibly experience in Large Language Models or Reinforcement Learning.
Added 10 mins ago
R
Personal Lines Sales Broker (AB) - Leads Provided
Ratehub
Remote, Canada
- Full-time
- Remote
We’re a company on a mission. Every single team member, from product & engineering, to sales & marketing, finance, operations and everything in between is obsessed with one thing; helping…
Added 10 mins ago
B
Senior Director, Project Delivery (Hybrid)
Broadridge
Toronto, ON
- Full-time
12+ years of experience in financial services regulatory compliance, risk management, operations or management consulting.
Added 10 mins ago
B
Digital Product Owner
BMO
Toronto, ON · BMOPLACE
- Full-time
Added 10 mins ago
A
Warranty Manager
Airbus
Fort Erie, ON
- Full-time
Continuously evaluate and improve internal warranty workflows to streamline operations and reduce claim rejection rates.
Added 23 mins ago
TD
Compliance Crypto Analyst
Tetra Digital Group
Toronto, ON
- $75,000 to $115,000 CAD / year
- Full-time
…technologies. You enjoy being close to the work, partnering with operations, technology, and leadership to ensure compliance is embedded into business processes - not bolted…
Added 23 mins ago
TG
Cash Management Officer - Tax Intern
TMX Group
Toronto, ON
- $22 to $25 CAD / hour
- Full-time
…tax reporting season within the Cash Management and Transtar operations. In this role, you will play a critical part in generating CRA tax slips and tax summaries for distributions paid to…
Added 24 mins ago
RL
Chief Operating Officer
Republic Live Inc
Canada
- Full-time
Republic Live is seeking an experienced, commercially driven Chief Operating Officer to lead business operations, strengthen financial performance, and help shape the company's continued…
Added 24 mins ago
H
Anti-Money Laundering Analyst
Hays
Toronto, ON
- Contract
AML Operations & Investigations: Perform day-to-day activities associated with the AML program
Added 24 mins ago
H
Anti-Money Laundering Specialist
Hays
London, ON
- Contract
AML Operations & Investigations: Perform day-to-day activities associated with the AML program
Added 24 mins ago
BR
Senior Manager, Accounting
Brookfield Renewable
Gatineau, QC
- Full-time
…in a complex, matrixed environment with stakeholders across Operations, Procurement, Financial Reporting, Lender Relations, Treasury, Tax, FP&A, and other finance…
Added 24 mins ago
TI
Financial Controller
The Integrity Group (CA)
Okotoks, AB
- Full-time
Oversee all accounting operations, including General Ledger, Accounts Payable, Accounts Receivable, Payroll, and Fixed Assets.
Added 24 mins ago
PC
Accounting Analyst, Master Data New Grad
PETRONAS Canada
Calgary, AB
- Full-time
PETRONAS Canada is one of the largest natural gas resource owners in Canada. We have operations in the Montney play in northeast British Columbia and are a partner in LNG Canada. As part of…
Added 24 mins ago
W
Senior Analyst - Credit and Collections
Wesco
Markham, ON
- Full-time
Works cross-functionally with sales, operations, finance, contract administration, and customer master administration teams to gather and review documents, including purchase orders, credit…
Added 24 mins ago
Sales Associate, Sales & Partnerships - Scotia iTRADE (Cantonese)
Scotiabank
Toronto, ON
Actively pursue effective and efficient operations of their respective areas in accordance with Scotiabank’s Values, its Code of Conduct and Global Sales Principles, while ensuring the…
Added 24 mins ago
OEM Client Relationship Manager
Scotiabank
Vancouver, BC
Actively pursues effective and efficient operations of their respective areas in accordance with Scotiabank’s Values, its Code of Conduct and the Global Sales Principles, while ensuring the…
Added 24 mins ago
FC
IS Workforce Manager (Resource Manager)
Fidelity Canada
Toronto, ON
- Full-time
Self-starter with the ability to pivot tasks quickly - prioritize and reprioritize to maintain effective and efficient operations as well as ensure expectations are properly managed.
Added 24 mins ago
Indirect Sourcing Intern
INNIO
Welland, ON
…provide the opportunity to gain practical experience in sourcing, operations, and finance, with a focus on project management. Working with a dynamic team and contributing to important…
Added 39 mins ago
IG
Back End Developer
Insight Global
Canada
- $55 to $75 CAD / hour
- Contract
Work within AWS environments and support reliable infrastructure deployment, monitoring, and ongoing operations.
Added 39 mins ago
AV
Operations and Finance Manager
Airtime Volleyball
Toronto, ON · Greater Toronto and Hamilton Area, ON
- Other
…we are introducing a new role in our management structure: Operations and Finance…

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 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
Model Validation
Feature Engineering
Technical Leadership

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
Data Engineering
Cloud Platforms
Vertex AI
LangChain
LangGraph
PyTorch
TensorFlow
Pandas
NumPy
SciPy
Scikit-learn
Statsmodels
Model Risk Management
Responsible AI
Data Governance
Predictive Analytics
Feature Engineering
Vector Search
CI/CD
People Analytics

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