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Added 6 mins ago
A
CCaaS Developer
Accenture
Montreal, QC
- Full-time
A hands-on CCaaS Developer with deep technical expertise in Amazon Connect and Google Cloud Contact Center AI (CCAI). You are passionate about building scalable, intelligent customer…
Added 6 mins ago
Senior Software Engineer, Agentic AI Products
Leo Berwick
Toronto, ON
Business-to-workflow translation. You can turn complex business processes, such as document triage, redlining, and spreadsheet organization, into automated agentic workflows.
Added 6 mins ago
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Director, Data Enablement
PwC
Toronto, ON
- Full-time
…unlock value from their data through strategy, governance, analytics, cloud modernization, and AI transformation. We work with clients to establish trusted data foundations, modernize…
Added 6 mins ago
T
Senior Information Security Analyst - Detection Engineering
TD
Toronto, ON
- Full-time
…job-related knowledge, geographic location, and other specific business and organizational…
Added 6 mins ago
Customer Account Executive II
Nitro
Toronto, ON
…suite of solutions for PDF, eSigning, identity verification and analytics supported by a best-in-class customer success and change management team. With more than 3 million licensed users…
Added 6 mins ago
SL
AVP, CXO Strategy & Transformation
Sun Life
Toronto, ON · Sun Life Toronto One York
- Full-time
…bringing together strategy, transformation, performance reporting, analytics, to tell a cohesive story. The successful candidate will help build insights discipline, and change capability…
Added 21 mins ago
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Analyst, Global Asset Management
CIBC
Toronto, ON
- Full-time
…designed to provide broad exposure to different areas of the business. Working with a variety of teams and experienced professionals, you will support research, reporting, analysis, and…
Added 21 mins ago
G
AI Product Builder - IoT & Data Intelligence (October 30, 2026)
GoFleet
Mississauga, ON
- Full-time
…dash cameras, maintenance, compliance, asset monitoring and business intelligence. We are now building GoZen Intelligence, an AI-powered fleet intelligence platform that turns operational…
Added 21 mins ago
C&
Business Intelligence Analyst - Data and Automation
Communications & Power Industries (CPI)
Georgetown, ON
- $86,000 CAD / year
- Full-time
At least three years of relevant experience in business intelligence, data analysis, business analysis, operations analytics, or process automation, including hands-on development of…
Added 21 mins ago
M
AVP, GTO Strategy & Transformation
Manulife
Toronto, ON
- Full-time
…is going and ensuring its transformation delivers measurable business value. You will lead multi-year strategy development, operating model transformation, AI enablement, value realization,…
Added 21 mins ago
Distribution Analyst
CONA Services
Brampton, ON
Apply advanced analytics, AI, and automation tools to generate insights, improve business processes, accelerate decision-making, and support the organization's digital transformation…
Added 21 mins ago
FS
Director, Fraud Supervision
Financial Services Regulatory Authority (FSRA)
Toronto, ON · FSRA Head Office
- Full-time
Lead the development of future enhancements, reporting capabilities, analytics, and intelligence products.
Added 21 mins ago
Senior Data Analyst
Government of Alberta
AB
This position reports to the Manager, Data and Analytics within the Modernization and Business Intelligence unit of Motor Vehicle Modernization branch of Traffic Safety Services (TSS)…
Added 21 mins ago
VT
AI & Process Improvement Analyst (New Grad)
Valwell Technologies
AB · Edmonton, AB
- Full-time
Degree or diploma in computer science, data, business analytics, mathematics, statistics, engineering, finance, operations, or a related quantitative field (2025 or 2026 grads encouraged to…
Added 21 mins ago
Z
AI Product Builder - IoT & Data Intelligence
ZenduIT
Mississauga, ON
- Full-time
…dash cameras, maintenance, compliance, asset monitoring and business intelligence. We are now building GoZen Intelligence, an AI-powered fleet intelligence platform that turns operational…
Added 21 mins ago
CW
Director, Education Technology
CPA Western School of Business
AB · Edmonton, AB
- Full-time
Monitor emerging trends in educational technology, artificial intelligence, learning analytics, and digital learning.
Added 22 mins ago
S
Senior Data Architect
Synechron
Montreal, QC
- Full-time
Notre expertise en intelligence artificielle, en consultation, en données, en numérique, en infonuagique et DevOps, ainsi qu’en génie logiciel, nous permet d’offrir des solutions…
Added 36 mins ago
Workplace Services LeadWest/Canada
WPP
Toronto, ON
We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single…
Added 51 mins ago
T
Cost Analyst
Thermon
Orillia, ON
- Full-time
The Cost Analyst is a member of the Business Group Finance team responsible for providing cost analysis, cost reporting, and productivity project analysis and planning support to…
Added 51 mins ago
TG
Production Manager
Trench Group GmbH
Pickering, ON
- $115,000 to $150,000 CAD / year
Leverage Artificial Intelligence (AI), predictive analytics, automation tools, and digital solutions to improve forecasting, scheduling, reporting, inventory management, and decision-making…
Added 51 mins ago
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Director, Program Management
Walmart
Mississauga, ON
- Full-time
Adopts a holistic perspective that considers data, analytics, customer insights, and different parts of the business when making plans and implementing strategies.
Added 51 mins ago
GE
Database Administrator (Temporary)
Greater Essex County District School Board
Windsor, ON
- Full-time
…developed applications that support the Board’s student and business systems. The Database Administrators work as one team across both areas: each has a primary focus, but all are expected…
Added 51 mins ago
AR
Software Developer
Accipiter Radar
Fenwick, ON
- Full-time
The software developer will be responsible for implementing cutting-edge software solutions leveraging the latest technologies and our proprietary Radar Intelligence Network™ (RIN) by…
Added 51 mins ago
TM
Senior Financial Analyst
The Mason Group - Strategic Search Partners
Burlington, ON
- $105,000 to $115,000 CAD / year
- Full-time
Experience with Power BI, Tableau, or other business intelligence and data visualization tools would be an asset.
Added 51 mins ago
AL
Accounts Payable Analyst
Air Liquide Healthcare
Mississauga, ON
- Full-time
Financial Reporting & Analytics: Develop and maintain AP Power BI dashboards to provide leadership with actionable insights on cash flow and operational KPIs.

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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