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TI
Dynamics 365 Lead Developer
Tekgence Inc
Montreal, QC
- Contract
Knowledge of enterprise architecture patterns
Added just now
TU
Applications Technical Lead
The University of British Columbia
Vancouver, BC
- $11,397 to $17,081.58 CAD / month
- Full-time
The Incumbent provides senior level technical expertise and direction in the area of Enterprise Integrations and is a recognized technical subject matter expert throughout the ecosystem of…
Added 15 mins ago
D
Senior Full Stack Developer (Java And React/Angular) - Operate (Future Opportunity)
Deloitte
Toronto, ON
- Full-time
We are passively seeking Full Stack Java Developers to join our team on a 1-year fixed term. As a Full Stack Java Developer at Deloitte, you will play a crucial role in designing,…
Added 15 mins ago
D
Senior Java Backend Developer - Operate (Future Opportunity)
Deloitte
Toronto, ON
- Full-time
We are passively seeking Senior Java Developers to join our team on a 1-year fixed term. As a Java Developer at Deloitte, you will play a crucial role in designing, developing, and…
Added 15 mins ago
RC
Senior Associate - Identity and Access Management
RSM Canada
Toronto, ON
- Full-time
Experience with SailPoint Identity Security Cloud, including configuration and integration within cloud-based enterprise environments.
Added 15 mins ago
N
Application Analyst
NetworkPedia
AB · Edmonton, AB
- Contract
15+ years working as an Application Developer in a large enterprise IT environment using Sybase, C, and Solaris 11/Red Hat.
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Senior Full Stack Java Developer - Capital Markets
Rose International
Mississauga, ON
- Full-time
8+ years of professional software engineering experience, with demonstrable experience as a Full-Stack Developer transitioning into a Forward Deployed Engineer-style, customer-facing…
Added 15 mins ago
Supervisor, Corporate SCM
Inter Pipeline Ltd.
Calgary, AB
…defining objectives, scope and delivery plans that connect enterprise priorities with decentralized operational…
Added 15 mins ago
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Director, Equipment Planning and Biomedical Services
Mackenzie Health
Richmond Hill, ON
- $137,748 to $175,793 CAD / year
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Added 15 mins ago
ZC
Senior Full Stack Developer (Angular & Java)
Ztek Consulting
Montreal, QC
- Full-time
You will be a technically proficient and enthusiastic developer, with a desire to work on back-end application development.
Added 15 mins ago
TU
Platform Engineering Manager
The University of British Columbia
Vancouver, BC
- $11,397 to $17,081.58 CAD / month
- Full-time
OCIO | Enterprise Automation and Service Delivery
Added 15 mins ago
AP
Tech Lead
Accommodations Plus International
Markham, ON
- $130,000 to $140,000 CAD / year
- Full-time
Own the architecture, design, and scalability of enterprise-grade applications.
Added 15 mins ago
S
Product Manager - SOTI MobiControl
SOTI
Mississauga, ON
- $110,000 to $130,000 CAD / year
- Full-time
At least 4 years of product management experience in enterprise software or SaaS.
Added 30 mins ago
S
Manager, Technical Consulting
Staffbase
Canada
- $105,000 to $141,000 CAD / year
…similar customer-facing technical role in B2B SaaS, including enterprise…
Added 45 mins ago
B
Manager Crisis, resiliency & travel security program
Bombardier
Mississauga, ON
- Full-time
…validate travel security processes, provider capabilities and integration with enterprise crisis and emergency management…
Added 45 mins ago
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Cyber Security Intern/Co-op (Winter 2027)
TD
Mississauga, ON · Toronto, ON
- Full-time
Then you should join our Enterprise Protect organization! Multiple roles that support Cyber engineering are available, including:
Added 45 mins ago
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AVP, Technology Portfolio Management, Transaction Banking & Payments, TD Securities
TD
Toronto, ON
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…connectivity and servicing capabilities; modern ledger and ledger integration; and wholesale payments platforms and…
Added 45 mins ago
B
Manager Defense Security
Bombardier
Dorval, QC
- Full-time
Establish, maintain and continuously improve the enterprise Defense Security Program, including its governance model, policies, standards, procedures, controls and assurance framework.
Added 1 hour ago
C
Full Stack Developer (.NET, C#, SQL, React, and Azure Databricks)
CIBC
Toronto, ON
- Full-time
…CIBC’s digital transformation, successfully delivering complex, enterprise-scale application development projects involving multiple back-end systems. As a Full Stack Developer, you’ll…
Added 1 hour ago
AP
Full Stack Team Lead
Accommodations Plus International
Markham, ON
- $130,000 to $140,000 CAD / year
Own the architecture, design, and scalability of enterprise-grade applications.
Added 1 hour ago
W
Application Analyst - Intermediate
Workiy
Edmonton, AB
- Contract
…development, implementation, maintenance, and enhancement of enterprise applications. The ideal candidate will have strong hands-on experience in C programming, Solaris/RedHat environments,…
Added 1 hour ago
Senior IT Business Systems Analyst
The Canada Life Assurance Company
Winnipeg, MB · London, ON · Toronto, ON
…mainframe and systems of record, identity and security, and other enterprise or downstream…
Added 1 hour ago
CB
Senior Java Developer
Conduent Business Services Canada, Inc.
Canada
- Full-time
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Added 1 hour ago
BR
Senior Applications Architect
BITS Recruiting
Toronto, ON
- $110 to $120 CAD / hour
- Contract
The successful candidate will have strong experience in application architecture, systems analysis and design, enterprise integration, and architecture frameworks. This role involves…
Added 1 hour ago
ML
Director, Talent Development & DEI
Maple Leaf Foods Inc
Mississauga, ON
- Full-time
…forward. Reporting to the Vice President, Talent, you'll set the enterprise vision for learning, leadership development and diversity, equity and inclusion (DEI), and lead the team that…

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 at least six years of relevant 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

Data Science
Machine Learning
Statistical Modeling
Generative AI
Python
SQL
Retrieval-Augmented Generation
Agentic Workflows
MLOps
LLMOps
Predictive Modeling
Data Engineering
Model Validation
Cloud Platforms
Technical Leadership
Responsible AI

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
Vertex AI
LangChain
LangGraph
PyTorch
TensorFlow
Pandas
NumPy
SciPy
Scikit-learn
Statsmodels
Data Engineering
Model Risk Management
Responsible AI
Vector Search
Feature Engineering
Causal Inference
Cloud Computing
API Development
People Analytics
Workforce Planning

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