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Added 3 mins ago
Q
Senior GRC Analyst
Quantexa
Ottawa, ON
- $116,000 to $146,000 CAD / year
- Full-time
…stimulating. We’re a real team. Collaborating and constantly engineering better solutions. We’re ambitious, we think things through and we’re on a mission to discover just how far we can…
Added 3 mins ago
MC
Senior Software Engineer - Brokerage Platform
Moomoo Canada
Toronto, ON · North York, ON
- Full-time
We are looking for an experienced Senior Software Engineer to join our engineering team in Toronto.
Added 3 mins ago
R
Building Performance Engineer - EIT
RWDI
Guelph, ON
- $62,000 to $75,000 CAD / year
- Full-time
RWDI is a global climate and performance engineering consulting firm that helps its clients redefine what’s possible by overcoming design and operational challenges, while minimizing…
Added 3 mins ago
RU
Senior Associate - Identity and Access Management
RSM US LLP
Toronto, ON
- Full-time
Design, configure, implement, and support SailPoint IdentityIQ and/or Identity Security Cloud (ISC) solutions to meet client identity governance and access management requirements.
Added 18 mins ago
CT
Senior BI Analyst
Canadian Tire Corporation
Oakville, ON · Toronto, ON
- Full-time
Experience working with cloud-based analytics and data engineering platforms.
Added 33 mins ago
O
Lead UX Developer (React)
OpenText
Waterloo, ON
- Full-time
…design, build, and constantly improve the user experience on our cloud and on-premise AI-enabled solutions that serve clients and employees globally. You will work across front-end,…
Added 33 mins ago
Q
Senior GRC Analyst
Quantexa
Toronto, ON
- $116,000 to $146,000 CAD / year
- Full-time
…stimulating. We’re a real team. Collaborating and constantly engineering better solutions. We’re ambitious, we think things through and we’re on a mission to discover just how far we can…
Added 33 mins ago
LM
DIRECTOR OF INFORMATION TECHNOLOGY
Lacroix Médecine Privée
Quebec, QC
- Full-time
…and financial priorities of Groupe médical Lacroix. Advise senior management on investments, risks, and key technological…
Added 33 mins ago
R
Building Performance Engineer - EIT
RWDI
Guelph, ON
- Full-time
RWDI is a global climate and performance engineering consulting firm that helps its clients redefine what’s possible by overcoming design and operational challenges, while minimizing…
Added 33 mins ago
HS
Senior Software Engineer
Henry Schein Canada
Surrey, BC
- Full-time
Our Dentrix Ascend engineering team contributes to the development of Dentrix Ascend, our cloud-based practice management platform used by dental practices across the United States.…
Added 33 mins ago
VI
Chief Information Officer
Vector Institute
Toronto, ON
- Full-time
…support Vector’s operations and objectives are in place. As a senior role at a national AI institute, this role carries both internal leadership responsibilities and an external dimension.…
Added 33 mins ago
C(
Senior Software Engineer, Agentic Systems
CareLink (by Asepha)
Toronto, ON
- Full-time
…organizations, we’re scaling rapidly and seeking a talented, innovative Senior Software Engineer to join our growing team. As one of our early hires, you’ll play a critical role in shaping…
Added 33 mins ago
HS
Senior Software Engineer
Henry Schein
Surrey, BC
- Full-time
Our Dentrix Ascend engineering team contributes to the development of Dentrix Ascend, our cloud-based practice management platform used by dental practices across the United States.…
Added 33 mins ago
Senior Technical Specialist
Insurance Corporation of British Columbia
North Vancouver, BC
The Information Services Division is currently looking for a Senior Technical Specialist. In this position, you will provide senior-level technical leadership for the design,…
Added 48 mins ago
Senior Data Engineer
Capgemini
Calgary, AB
…limited to the following: Demonstrate deep knowledge of the data engineering domain to build and support non-interactive (batch, distributed) & real-time, highly available data, data…
Added 48 mins ago
M(
Senior Software Developer, Compliance and Multi-Region
MaintainX (An Autodesk Company)
Remote, Canada
- $131,000 to $191,000 CAD / year
- Full-time
- Remote
We are seeking a Senior Software Developer to drive the technical delivery of MaintainX’s compliance and multi-region deployments, including both single-tenant and multi-tenant…
Added 48 mins ago
GS
Business Systems Developer
Grantek Systems Integration
Burlington, ON
- Full-time
…off their careers at Grantek and have grown into successful senior team members who are integral to our client's manufacturing…
Added 1 hour ago
S
Delivery Manager – Personalization and Marketing (7 months contract)
Sobeys
Toronto, ON
- Contract
…customers and operate the business. We leverage cutting-edge cloud technologies and advanced analytical techniques to connect the dots between customer behaviour and business operations,…
Added 1 hour ago
XS
Security Analyst / Engineer / Architect
XChange Software Inc
Mississauga, ON
- Contract
· Lead architecture reviews across cloud, applications, infrastructure, and third-party solutions.
Added 1 hour ago
QT
Développeur logiciel principal - rapports et analyses / Senior Software Developer - Reporting
Quantum Technology Recruiting Inc. (QTR)
Montreal, QC
- $100,000 to $120,000 CAD / year
- Full-time
- Au moins 5 ans d'expérience en développement logiciel de niveau senior dans les domaines des bases de données, du reporting ou de l'analyse
Added 1 hour ago
W
Senior Full Stack Engineer
Workstream
Vancouver, BC
- Full-time
…experiences from Tencent, Alibaba, Amazon, ByteDance, and more. Our engineering team is composed of passionate, driven, and talented engineers who focus on building and innovating cloud…
Added 1 hour ago
V
AI Engineer
Virtusa
Toronto, ON
- Full-time
Integrate AI models with enterprise applications, APIs, databases, and cloud services.
Added 1 hour ago
R
Oracle Exadata Cloud@Customer (ExaCC) Senior DBA Consultant
Raise
Calgary, AB
- Full-time
7+ Years of Senior Oracle DBA Expertise: Deep, hands-on experience managing enterprise Oracle environments, Real Application Clusters (RAC), Automatic Storage Management (ASM), Grid…
Added 1 hour ago
MD
Information Technology Specialist 5 - Unified Communications & Collaboration Architect
Minnesota Direct Care and Treatment
Saint-Paul, NB · St.-Paul, NB
- Full-time
Five years of progressive experience in enterprise unified communications and collaboration, including at least four years in a senior technical or architect-level role.
Added 1 hour ago
M
Junior Full Stack Web Developer
Mitel
Ottawa, ON
- Full-time
…well-crafted UI. You'll build the business logic needed to consume cloud-based APIs from your back-end peers, growing your engineering discipline along the…

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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