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Added 11 mins ago
Senior Finance Business Partner
D2L
Vancouver, BC · Winnipeg, MB · Kitchener, ON · Toronto, ON
Reporting to the Manager, Corporate Financial Planning & Analysis, the Senior Finance Business Partner position will partner with the Professional Services and Support (PS&S) organizations…
Added 11 mins ago
IM
Engineering Project Manager
Impossible Metals
Collingwood, ON
- Full-time
Demonstrated ability to work effectively with engineers, technical leads, operations personnel, suppliers, and senior leadership
Added 11 mins ago
IF
Senior Underwriter
iA Financial Group
Toronto, ON · Montreal, QC · Quebec, QC
- Full-time
As a Senior Underwriter, you will play a key role in developing individual insurance underwriting expertise. You will support teams in analyzing complex cases, improving practices, and…
Added 11 mins ago
RU
Senior Associate - Identity and Access Management
RSM US LLP
Toronto, ON
- Full-time
Identify opportunities to improve identity governance processes, automation, platform performance, and the overall user experience.
Added 26 mins ago
UO
Platform Engineering Manager
University of British Columbia
Vancouver, BC · UBCV | The Leonard S. Klinck Building (LSK)
- $11,397 to $17,081.58 CAD / month
- Full-time
OCIO | Enterprise Automation and Service Delivery
Added 26 mins ago
UO
Applications Technical Lead
University of British Columbia
Vancouver, BC · UBCV | The Leonard S. Klinck Building (LSK)
- $11,397 to $17,081.58 CAD / month
- Full-time
OCIO | Enterprise Automation and Service Delivery
Added 26 mins ago
M
Bilingual Client Success Coordinator (Channel Partnerships)
Maple
Toronto, ON
- Full-time
Identify recurring issues and opportunities to improve workflows, using automation and AI-enabled processes to complete recurring work and improve consistency
Added 26 mins ago
Senior Accountant, Infrastructure
Connor, Clark & Lunn Financial Group Ltd.
Toronto, ON
Interested in joining one of Canada’s top performing asset managers? We are looking for a Senior Accountant, Infrastructure for an existing vacancy on our Infrastructure Accounting team.
Added 26 mins ago
CT
Senior BI Analyst
Canadian Tire Corporation
Oakville, ON · Toronto, ON
- Full-time
As a Senior BI Analyst, you will play a key role in transforming data into actionable business insights. You will work across the full analytics lifecycle, partnering with business…
Added 41 mins ago
O
Lead UX Developer (React)
OpenText
Waterloo, ON
- Full-time
…collaboration are key components of our corporate culture. As a Lead UX Developer on the Viewing and Transformation Development team, you will independently design, build, and constantly…
Added 41 mins ago
HT
Director, Finance (CSM)
Husky Technologies
Bolton, ON
- Full-time
Serve as the senior finance partner to service leadership, operations, commercial teams, and Customer Success leaders, providing insight and challenge on strategic priorities, business…
Added 41 mins ago
HT
Financial Manager - PLM (Product Line Mgmt)
Husky Technologies
Bolton, ON
- Full-time
Translate complex data into clear, actionable recommendations for senior leadership
Added 41 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 41 mins ago
SC
Director Talent Acquisition
Sonepar Canada
Surrey, BC
- Full-time
Act as an advisor to senior leaders on talent availability, competitive market conditions, sourcing strategies, hiring risks, and recruitment investment decisions.
Added 41 mins ago
HT
Designer, Development (Electrical)
Husky Technologies
Bolton, ON
- Full-time
The Senior Designer, Development (Electrical) will be a key contributor to these product development teams, responsible for designing and delivering robust, safe and reliable electrical…
Added 41 mins ago
E
Senior Manager, Digital Strategy & Operations
Equinix
Toronto, ON
- Full-time
The Senior Manager, Strategy & Operations sits within the DIO Office of the COO (DCOO) and leads strategic projects across DIO, spanning planning, strategy, operations, and finance. This…
Added 42 mins ago
M
RQ11656 - Systems Testing/QA Specialist - Senior
Maarut
Toronto, ON
- Contract
Use automation tools and frameworks such as Selenium, Appium, Playwright or similar to create robust and reusable test scripts.
Added 42 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 56 mins ago
P
Senior Software Developer in Test- 9 month contract- temporary
Plusgrade
Montreal, QC · CAN - Montreal
- Full-time
We are expanding our core travel tech platforms, and right now our QA team needs a Senior SDET who wants to own automated testing frameworks and pioneer AI-driven testing workflows rather…
Added 56 mins ago
MF
AI Automation & Platform Analyst (Senior Analyst)
Mackenzie Financial Corporation
Toronto, ON · Greater Toronto Area, ON
- Other
We are hiring an AI Automation & Platform Engineer/Analyst to design and build the next generation of agent-driven workflows, automation systems, and internal tools.
Added 56 mins ago
GS
Business Systems Developer
Grantek Systems Integration
Burlington, ON
- Full-time
Grantek is looking for a Business Systems Developer to design, build, and maintain the internal applications, integrations, and automation workflows that support our global operations. This…
Added 1 hour ago
XS
Security Analyst / Engineer / Architect
XChange Software Inc
Mississauga, ON
- Contract
· Communicates trade-offs clearly and credibly with senior stakeholders.
Added 1 hour ago
SR
Director of Finance
Serpent River First Nation
Cutler, ON
- Full-time
As a member of the Senior Management Team, the Director of Finance works collaboratively with the Director of Operations, Program Directors, Chief and Council, Council Committees, staff,…
Added 1 hour ago
S
Global Account Manager
Sandvik
Mississauga, ON · Sudbury, ON
- Full-time
Maintain and strengthen Sandvik’s leadership position in automation, advanced equipment, and aftermarket services with the customer.
Added 1 hour ago
W
Regional Sales Director - Identity - Canada
Workday
Toronto, ON · Canada, ON, Toronto
- Full-time
…challenge: how to manage identity, access, provisioning, lifecycle automation, and least-privilege controls across a combined workforce of people and AI…

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.

Apply About employer

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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