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Added 6 mins ago
A
Talent Management Consultant
Accenture
Calgary, AB
- Full-time
…management skills. Your expertise is in advising clients on data-driven strategies to transform their organizations so they can crush their strategic, financial, and operational goals. As a…
Added 6 mins ago
Senior Software Engineer, Agentic AI Products
Leo Berwick
Toronto, ON
We are hiring a Toronto-based Senior Software Engineer to join our founding in-house engineering team and build products from the ground up. This is a hands-on, individual contributor role…
Added 6 mins ago
P
Director, Data Enablement
PwC
Toronto, ON
- Full-time
Build trusted advisor relationships with CIOs, CTOs, Chief Data Officers, business executives, and other senior stakeholders.
Added 6 mins ago
M
Senior Manager, Corporate Commercial Credit
Moneris
Toronto, ON
- Full-time
As the Senior Manager, Corporate-Commercial Credit, you will lead a team of Senior Credit Analysts responsible for managing Moneris’ commercial credit risk portfolio, including Large Key…
Added 6 mins ago
SL
AVP, CXO Strategy & Transformation
Sun Life
Toronto, ON · Sun Life Toronto One York
- Full-time
This role will act as a senior strategic integrator across the CXO mandate - bringing together strategy, transformation, performance reporting, analytics, to tell a cohesive story. The…
Added 21 mins ago
G
Business Development / Sales Development Representative (October 30, 2026)
GoFleet
Mississauga, ON
- Full-time
…AI-powered fleet intelligence platform that turns operational data into prioritized insights and…
Added 21 mins ago
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AI Development Manager
Boeing
Richmond, BC · Vancouver, BC · CAN - Richmond, Canada
- Full-time
Boeing Vancouver is seeking a AI Development Manager to join the Boeing Global Services (BGS) - Digital Services Technology organization, reporting to the Senior Manager of AI & Analytics.
Added 21 mins ago
M
AVP, GTO Strategy & Transformation
Manulife
Toronto, ON
- Full-time
…validate assumptions, reconcile benefit calculations across data sources, create defensible performance baselines, and ensure reported outcomes remain transparent and defensible to senior…
Added 21 mins ago
VT
AI & Process Improvement Analyst (New Grad)
Valwell Technologies
AB · Edmonton, AB
- Full-time
This is an analyst and builder blend. You do not need to be a software developer. You need to be sharp, numerate, curious about how things work, and able to use today's AI tools to build…
Added 21 mins ago
CO
BUSINESS ANALYST 311 #67732
City of Toronto
Toronto, ON
- Full-time
Added 21 mins ago
TM
Senior Regional Financial Analyst - 3+ months
The Mason Group - Strategic Search Partners
Guelph, ON
- $40 to $45 CAD / hour
- Contract
Our client is a leading consumer goods organization seeking a Senior Regional Financial Analyst to support one of its key regional business units (East, West, or Quebec). They are seeking a…
Added 21 mins ago
BR
Senior Systems Testing / QA Specialist – ETL & Data
BITS Recruiting
Toronto, ON
- $70 to $73 CAD / hour
- Contract
We are seeking an experienced Senior Systems Testing / QA Specialist to support a data-focused project involving data validation, ETL testing, and Monitoring & Evaluation reporting. The…
Added 21 mins ago
PC
Full Stack Developer (Backend-Focused)
Parabellyx Cybersecurity
Richmond Hill, ON
- Full-time
About the roleParabellyx Cybersecurity is hiring a mid-to-senior Full Stack Developer, weighted toward the backend, to build and run the data and scanning engine behind Luma. You will own…
Added 21 mins ago
QT
Senior Linux Systems Engineer - Automation & Performance Monitoring (6-Month Contract)
Quantum Technology Recruiting Inc. (QTR)
Toronto, ON
- $70 to $90 CAD / hour
- Contract
Position: Senior Linux Systems Engineer - Automation & Performance Monitoring (6-Month Contract)
Added 21 mins ago
CW
Director, Education Technology
CPA Western School of Business
AB · Edmonton, AB
- Full-time
Provide strategic advice to senior leadership on technology-enabled learning, assessment, and student support.
Added 21 mins ago
Z
Business Development / Sales Development Representative
ZenduIT
Mississauga, ON
- Full-time
…AI-powered fleet intelligence platform that turns operational data into prioritized insights and…
Added 21 mins ago
S
Senior Data Architect
Synechron
Montreal, QC
- Full-time
Added 36 mins ago
BUSINESS ANALYST 311
City of Toronto
Toronto, ON
Added 36 mins ago
HG
Communications Manager
Hypertec Group
QC · St-Laurent, QC
- Full-time
Partner with the Senior Manager, Events to align event messaging, promotional strategies, content requirements, and audience engagement.
Added 36 mins ago
7
Senior Performance Marketing Manager
7shifts
Remote, Canada
- $100,000 to $150,000 CAD / year
- Full-time
- Remote
As the Senior Performance Marketing Manager, reporting to the Sr. Director of Growth Marketing, you’ll own performance marketing at 7shifts across paid channels, the experimentation…
Added 36 mins ago
L
QA Test Engineer, Industrial
Litmus
Remote, Canada
- Full-time
- Remote
We are hiring a Senior QA Test Engineer (SDET) for our Industrial and Data team. Today the developers on this team test their own work, so the connectors that talk to PLCs and industrial…
Added 36 mins ago
J
Senior Manager, Credit Risk
Jobber
Remote, Canada
- Full-time
- Remote
Then Jobber might be the place for you. We're looking for a Senior Manager, Credit Risk to join our Fintech department.
Added 36 mins ago
RB
Associate Director – Commodity Local Market Risk
Royal Bank of Canada
Toronto, ON
- Full-time
…changes and market conditions to deliver actionable insights for senior…
Added 36 mins ago
K
Senior Business Analyst
Klick
Toronto, ON
- Full-time
Our Omnichannel Enablement Craft connects channels, data, and technology into unified experiences. The team ensures audiences encounter consistent, coordinated messaging across touchpoints…
Added 51 mins ago
K
Senior Business Analyst
Klick
Toronto, ON
- Full-time
Our Omnichannel Enablement Craft connects channels, data, and technology into unified experiences. The team ensures audiences encounter consistent, coordinated messaging across touchpoints…

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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