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Added 11 mins ago
Senior Data Engineer
Capgemini
Calgary, AB
…Jupyter Notebooks, Colab or DataBricks (preferred) Hands-on data pipeline development, ingest patterns in Azure Orchestration tools, ADF or Airflow SQL Denormalized Data modeling for big…
Added 11 mins ago
DT
AI Architect
Derex Technologies Inc
Toronto, ON
- Full-time
Lead collaboration with data scientists, ML engineers, platform engineers, and software teams to integrate AI capabilities into products, platforms, and enterprise workflows.
Added 26 mins ago
S
Delivery Manager – Personalization and Marketing (7 months contract)
Sobeys
Toronto, ON
- Contract
As a Delivery Manager in Personalization and Marketing, you will lead the end-to-end delivery of multiple Advanced Analytics and AI/ML initiatives, overseeing planning, execution,…
Added 26 mins ago
CA
Project Controls Lead - NexGen Rook I
Cementation Americas
La Loche, SK
- Full-time
As Project Controls Lead, you'll coordinate cost, schedule, change, and reporting activities across the project controls team. You'll support clear handovers, coach team members, and help…
Added 27 mins ago
R
Oracle Exadata Cloud@Customer (ExaCC) Senior DBA Consultant
Raise
Calgary, AB
- Full-time
ExaCC Platform Implementation & Delivery: Lead the end-to-end setup and provisioning of ExaCC environments, including OCI tenancy administration, IAM policy creation, compartment…
Added 27 mins ago
W
Regional Sales Director - Identity - Canada
Workday
Toronto, ON · Canada, ON, Toronto
- Full-time
This is a leadership role. You will lead a team of specialized Account Executives who partner closely with Core Account Executives and cross-functional teams to develop opportunities,…
Added 27 mins ago
W
Account Executive - Identity - Canada
Workday
Toronto, ON · Canada, ON, Toronto
- Full-time
Own complex enterprise identity sales cycles. Lead identity governance opportunities from discovery through negotiation and close. Build account strategies, qualify opportunities, shape…
Added 27 mins ago
PC
Accounting Analyst, Master Data New Grad
PETRONAS Canada
Calgary, AB
- Full-time
We have an exciting opportunity for an early-career Accounting Analyst to join the Master Data Management and Capital Accounting team in Calgary. Reporting to the Team Lead, Master Data &…
Added 27 mins ago
T
Data Associate - Data Requirements & Quality
TD
Toronto, ON · Montreal, QC
- Full-time
Elicit, analyze, and understand business and data requirements to develop complete business solutions under the guidance of senior peers and managers, including data models (entity…
Added 42 mins ago
KM
Customer Success Manager (Burnaby)
Konica Minolta Business Solutions (Canada) Ltd.
Burnaby, BC
- Full-time
Added 42 mins ago
CG
Manager, Product Integrity & Compliance
Canada Goose
Toronto, ON
- Full-time
Lead chemical management and chemical compliance, including RSL and MRSL governance.
Added 42 mins ago
C
Director, FX Payments & Banking Strategic Projects
Corpay
Toronto, ON
- Full-time
Lead data-driven initiatives to optimize end-to-end banking and payment operations, improve FX transaction processes, enhance customer experience, and increase operational efficiency…
Added 42 mins ago
CT
Manager, Analytics Engineering
Canadian Tire Corporation
Toronto, ON
- Full-time
We are seeking a hands-on, strategic Manager, Analytics Engineering to lead the modernization of enterprise data platforms from Hadoop to Microsoft Azure. A core mandate is to build…
Added 42 mins ago
B
Senior Director, Project Delivery (Hybrid)
Broadridge
Toronto, ON
- Full-time
Exposure to AI, automation, digital onboarding or data platforms in a regulated environment, and to the governance that comes with them.
Added 56 mins ago
PC
Accounting Analyst, Master Data New Grad
PETRONAS Canada
Calgary, AB
- Full-time
We have an exciting opportunity for an early-career Accounting Analyst to join the Master Data Management and Capital Accounting team in Calgary. Reporting to the Team Lead, Master Data &…
Added 56 mins ago
KG
Manager - Health and Safety Risk and Assurance
Kinross Gold Corporation
Toronto, ON
- Full-time
…ensures that sustainability and our environmental, social and governance commitments are a core part of our strategy and plans for future growth. In line with our values, we also aim to…
Added 56 mins ago
SAP SuccessFactors Recruiting 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
We are seeking an experienced SAP SuccessFactors Recruiting Lead – Manager to join our HR Technology practice. This role is ideal for someone who combines strategic thinking with deep…
Added 1 hour ago
I
Lead SAP TMS Consultant
Infosys
Calgary, AB
- Full-time
Develop and implement complex integration workflows to connect the ERP system with external applications, while leading large-scale data migration strategies to ensure data integrity
Added 1 hour ago
NS
AWS Snowflake Solutions Architect
N2P Systems
Toronto, ON
- Full-time
N2P Systems is seeking an experienced Data & Analytics Solutions Architect to lead the design and modernization of enterprise data, analytics, and AI platforms using AWS and Snowflake. This…
Added 1 hour ago
BC
Legal Counsel, Corporate Affairs
BBA Consultants
Montreal, QC
- Full-time
…as commercial contracts, corporate secretarial services and governance, intellectual property, insurance, business immigration and international mobility, as well as mergers and…
Added 1 hour ago
BC
Legal Counsel, Corporate Affairs
BBA Consultants
Mont-Saint-Hilaire, QC · Mont-St-Hilaire, QC
- Full-time
…as commercial contracts, corporate secretarial services and governance, intellectual property, insurance, business immigration and international mobility, as well as mergers and…
Added 1 hour ago
W
Regional Sales Director - Identity - Canada
Workday
Toronto, ON · Greater Toronto Area, Canada
- Full-time
This is a leadership role. You will lead a team of specialized Account Executives who partner closely with Core Account Executives and cross-functional teams to develop opportunities,…
Added 1 hour ago
WS
Manager IT Service Management (ITSM)
Workplace Safety and Insurance Board (WSIB)
London, ON
- Full-time
…delivered across the organization. You’ll have the opportunity to lead an experienced team, advance our ITSM maturity and help shape service management practices in a large, complex…
Added 1 hour ago
MM
Global Financial Crime Screening Operations Manager
Marsh McLennan
Toronto, ON
- Full-time
Support the Marsh Head of Sanctions & AML and Head of Screening Operations to manage our program governance and projects, to make sure Marsh's systems and data are screened effectively to…
Added 1 hour ago
Payroll Manager
Imperial Brady
Montreal, QC · Saint-Laurent, QC
Lead the end-to-end payroll process for all Canadian employees, ensuring accuracy, timeliness, and compliance.

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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