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Added 12 mins ago
MC
Technical Business Analyst – Syndigo PIM MDM (35930)
Myticas Consulting
Canada
- Contract
You will work as a co-equal lead alongside another BA, with full ownership of your workstreams. You should be able to learn new platform capabilities quickly, assess requirements…
Added 12 mins ago
MC
Solutions Architect – AWS Node.js Digital Banking (35654)
Myticas Consulting
Toronto, ON
- Contract
Lead and mentor development teams through complex technical implementations.
Added 12 mins ago
C
Analyste fonctionnel Microsoft Dynamics CE / Power Platform
CGI
Montreal, QC
- Full-time
Lead the translation of high-level business requirements into functional specifications while ensuring effective communication with business stakeholders.
Added 12 mins ago
A
Director of Knowledge Management - NAMER
Ashby
Canada
- Full-time
That’s why we’re hiring our first Director of Knowledge Management. You’ll lead a team of Knowledge Managers and expand the team into new areas, including Digital Support experience and…
Added 12 mins ago
MC
Senior Manager, Data Governance (36122)
Myticas Consulting
Toronto, ON
- Full-time
Lead enterprise data quality initiatives, including quality standards, monitoring, issue management, remediation processes, and continuous improvement activities.
Added 12 mins ago
JD
Junior Project Administrator
JD Development Group
Markham, ON
- Full-time
Reporting to the Project Manager Lead (PM), you'll handle the financial and administrative paperwork that keeps projects on budget and subcontractors paid on time. You'll work closely with…
Added 12 mins ago
CC
Vice-President, Academic and Research
Canadore College
North Bay, ON
- Full-time
…of programs and credentials. The successful candidate will lead academic planning and renewal, foster excellence in teaching and learning, and advance flexible educational pathways. A…
Added 12 mins ago
CC
President and Chief Executive Officer
Canadian College of Health Leaders - Northwestern Ontario Chapter
Arnprior, ON
- Full-time
…important next chapter. This is an exceptional opportunity to lead a respected and community-rooted healthcare organization through the development and implementation of its next strategic…
Added 12 mins ago
SH
Physiotherapist - Mackenzie Health Hospital
SE Health
Richmond Hill, ON
- Temporary
…exceptional care to people and communities across Canada. We lead with empathy, dignity and purpose while building a future where everyone can realize their full health and well-being…
Added 12 mins ago
SH
Physiotherapist/Occupational Therapist - Hand Therapy Clinic
SE Health
Richmond Hill, ON
- Temporary
…exceptional care to people and communities across Canada. We lead with empathy, dignity and purpose while building a future where everyone can realize their full health and well-being…
Added 12 mins ago
SH
Personal Support Worker
SE Health
Toronto, ON · Scarborough, ON
- Full-time
…exceptional care to people and communities across Canada. We lead with empathy, dignity and purpose while building a future where everyone can realize their full health and well-being…
Added 12 mins ago
CG
Procurement Specialist
Calian Group
Ottawa, ON
- Full-time
…procurement categories, develop supplier relationships, and lead cross-functional collaboration to ensure cost efficiency, operational excellence, and alignment with business objectives.…
Added 12 mins ago
C
Project Manager - contract
CBRE
Vancouver, BC
- Full-time
Lead by example and model behaviors that are consistent with CBRE RISE values. Work to build consensus and convince others to reach an agreement.
Added 12 mins ago
AI
Project Procurement Lead
ATS Industrial Automation
Cambridge, ON
- Full-time
…suppliers and project delivery meet? As a Project Procurement Lead, you will own the material budget and material schedule for assigned projects, translating evolving technical requirements…
Added 12 mins ago
M
AI GTM and Automation Specialist
Maplesoft
Waterloo, ON
- Full-time
Lead & Account Intelligence: Use CRM data, engagement signals and account research to identify and prioritize prospects. Improve targeting, lead scoring and personalization.
Added 12 mins ago
CL
Maintenance Service Lead
Campus Living Centres
Victoria, BC
- Full-time
The Maintenance Services Lead will be actively involved in tasks related to building maintenance, and developing preventative maintenance routines, capital planning and managing projects.…
Added 12 mins ago
MC
Manager – Banking Cloud & Platform Engineering (35857)
Myticas Consulting
Toronto, ON
- Full-time
We are seeking a Manager – Banking Cloud & Platform Engineering to help lead complex technology transformation programs within the banking sector.
Added 12 mins ago
BC
Lead Electrical Engineer
Bantrel Co.
AB · Edmonton, AB
- Full-time
We are currently seeking a qualified Lead Electrical Engineer to join our Energy team, based out of Edmonton, AB. This is a leadership opportunity for an experienced engineer who enjoys…
Added 12 mins ago
M
Account Manager
Mentimeter
Toronto, ON
- Full-time
As an Account Manager, you will lead the expansion of our existing Enterprise customers by focusing on revenue growth through renewals and up-sales while serving as a trusted adviser to our…
Added 12 mins ago
G&
Operations Supervisor
Grand & Toy
Winnipeg, MB
- Full-time
This is an opportunity to take the lead, make your mark, and shape the future of our Winnipeg Customer Fulfillment Centre. As a hands-on operational leader, you'll have the autonomy to…
Added 12 mins ago
C
Architecte de solution Microsoft Dynamics CE / Power Platform
CGI
Montreal, QC
- Full-time
Strong skills in collaborating with different groups, and the ability to lead service delivery teams.
Added 12 mins ago
EC
Sales and Solutions Coordinator
Entripy Custom Clothing
Oakville, ON
- Full-time
Source products outside Entripy's standard catalogue to meet specific customer needs, including obtaining supplier pricing and confirming lead times.
Added 12 mins ago
L
Product Manager
Linedata
Toronto, ON
- Full-time
Proven ability to collaborate, lead and influence cross-functional teams
Added 12 mins ago
SH
Clinical Practice Coach
SE Health
Oshawa, ON
- Full-time
…Practice Resource Team, and Clinical Practice Coaches) and will lead quality, safe care through the work of the Office of Clinical Quality, bringing love and happiness through our H.O.P.E.™…
Added 12 mins ago
RI
Senior Marketing Manager
Rentokil Initial
Milton, ON
- $100,000 to $130,000 CAD / year
- Full-time
…partner to the President of Canada Pest, this leader will drive lead generation, brand strategy, and commercial marketing performance across residential and commercial business lines. They…

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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