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Added 11 mins ago
AC
Director of Avionics
Avmax Careers - Canada
Calgary, AB
- Full-time
Partner with MRO Operations, Engineering, Quality and other Avmax businesses to develop combined customer solutions, share resources where appropriate and create growth across the company.
Added 11 mins ago
BG
Sales Manager
Brandt Group of Companies
Oro-Medonte, ON
- Full-time
Partner with Branch Manager and HR to recruit, hire, and train staff.
Added 26 mins ago
CO
Human Resources Generalist
City of Saint John
Saint John, NB
- Full-time
…development, administration, onboarding, offboarding, Human Resources operations, policy application, employee experience and…
Added 26 mins ago
VI
Chief Information Officer
Vector Institute
Toronto, ON
- Full-time
Oversee the planning, procurement, operations, and ongoing development of Vector's high-performance AI compute facility, including a high security research environment, two…
Added 26 mins ago
M
P&O Business Partner
Mars
Bolton, ON · BOL-Mars Canada Inc.
- Full-time
As P&O Business Partner you will be a trusted advisor to the Factory Site Line Manager and Supply Chain Leadership Team, partnering to deploy regional and functional people priorities…
Added 26 mins ago
M
Search Engine Optimization Manager
Manulife
Toronto, ON
- Full-time
…deep expertise in technical and content SEO, enterprise-level operations, and cross-functional program…
Added 26 mins ago
D&
Financial Analyst, Commercial FP&A
Day & Ross
Somerville, NB
- Full-time
Partner with Pricing and Operations to identify accounts where margin improvement or repricing action is warranted
Added 26 mins ago
AR, Credit and Collection Supervisor
AFD Petroleum
Edmonton, AB
Partner with Sales, Operations, Billing, and Customer Service to resolve disputes and tighten the order-to-cash cycle.
Added 26 mins ago
A
Project Coordinator
ATCO
Yellowknife, NT
- Full-time
ATCO Frontec provides facilities management, remote operations, infrastructure, construction, and defence support services across Canada and internationally. We partner with government,…
Added 41 mins ago
WhereTo - Senior Product Manager - Canada, Virtua
Flight Centre
Canada
…Traveller and FCM. You'll lead the evolution of Travel Planning and Operations products, creating seamless experiences for travellers, arrangers, and approvers throughout the travel…
Added 56 mins ago
T
Account Manager
TEKsystems
Ottawa, ON
- Full-time
…customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We’re a team of 80,000 strong, working with over 6,000 customers,…
Added 1 hour 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 1 hour ago
Human Resources Generalist
Celestica International LP
Newmarket, ON
…results may have a negative impact on the divisions/departments operations, schedules, and/or performance goals. Works under general Supervision. Situations not covered by standard…
Added 1 hour ago
SAP SuccessFactors Employee Central Lead & Employee Central Time Lead - Manager
EY
Edmonton, AB · AB · Winnipeg, MB · Dieppe, NB · Saint John, NB · St. John's, NL · Halifax, NS · London, ON · Ottawa, ON · Toronto, ON · ON · Saskatoon, SK · Waterloo, ON · Calgary, AB
Partner with change management teams to drive user adoption.
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
Track end-user training registration, attendance, and assessment scores, coordinating with plant HR and operations supervisors to schedule makeup sessions for non-attendees.
Added 1 hour ago
Corporate Traveller - Senior Productivity Manager - Vancouver, BC
Flight Centre
BC
…experience of Travel Managers. Acting as a key link between Operations, Learning & Development, and Corporate Technology, you'll help deliver smarter processes, better tools, and…
Added 1 hour ago
N
Account Executive
Nexxen
Toronto, ON
- Full-time
Added 1 hour ago
OA
Industrial Red Seal Electrician
Oldcastle APG
Delta, BC
- Other
…markets throughout North America. We're a trusted and strategic partner to engineers, contractors, distributors, specifiers, retailers, and homeowners alike as the manufacturer of precast…
Added 1 hour ago
S
Talent Acquisition Senior Specialist
Savaria
Toronto, ON · Greater Toronto Area, Canada
- $75,000 to $105,000 CAD / year
- Full-time
The successful candidate will recruit across manufacturing, operations, engineering, sales, corporate, and field service functions while helping drive an exceptional candidate experience…
Added 1 hour ago
FG
Vice President, People & Culture
FFUN Group
Saskatoon, SK
- Full-time
…over 800 employees across 30 locations in Canada and expanding operations in the United States, we're building an organization with unlimited…
Added 1 hour ago
Payroll Manager
Imperial Brady
Montreal, QC · Saint-Laurent, QC
…Canadian history and a workforce of 1,500 Canadian employees. Our operations span 35 locations from coast to coast, including Saint John, Newfoundland and Vancouver, British Columbia -…
Added 1 hour ago
Technical Account Manager (Mid-Market)
eSentire
Canada
…security. At eSentire, we're building a cutting-edge AI Security Operations Platform that will amplify human expertise, not replace it, creating a workplace where innovation meets…
Added 1 hour ago
Payroll Manager, North America
Superior Plus Propane Talent Acquisition
Cambridge, ON
The Payroll Manager is responsible for leading and managing payroll operations across the United States and Canada. This role ensures accurate and timely payroll processing, compliance with…
Added 1 hour ago
Business Readiness Coordinator (9 Month Contract)
Give and Go Prepared Foods
Toronto, ON
Track end-user training registration, attendance, and assessment scores, coordinating with plant HR and operations supervisors to schedule makeup sessions for non-attendees.
Added 1 hour ago
A
Communications Manager
ADP
Toronto, ON · Etobicoke, Ontario
- Full-time
Partner with Corporate Communications, HR, Legal, Operations, Client Services, and business units to ensure coordinated and aligned messaging.

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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