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Added 1 min 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 min ago
RC
Renewable Energy Engineer (Entry-Level)
Renewable Careers
Toronto, ON
- $80,000 to $110,000 CAD / year
- Full-time
A structured development path with mentorship from senior engineers
Added 1 min ago
Digital Student Service Administrator
George Brown Polytechnic
Toronto, ON
Reporting to the Senior Manager, Student Service
Added 1 min ago
I
Sr.Consultant(e) en sémantique des données de santé/Senior Advisor Health Data Semantics
IQVIA
Montreal, QC
- Full-time
Added 15 mins ago
RC
Renewable Energy Analyst (Remote Working)
Renewable Careers
Canada
- Full-time
Data Analytics & Modeling: Build and maintain data models tracking client resource usage, focusing on water stewardship, waste diversion, and energy efficiency.
Added 15 mins ago
Senior Manager, Data Product Management
Scotiabank
Toronto, ON
The Senior Manager, Data Product Management, is a key role within the Global Wealth Management (GWM) Data Centre of Excellence (Data CoE). Reporting to the Director, Data Product…
Added 15 mins ago
FS
Manager, Public Relations and Marketing Communications – Americas
Four Seasons Hotels and Resorts
Toronto, ON · Four Seasons Corporate Headquarters Toronto
- Full-time
Reporting to the Director, Public Relations and Corporate Communications – Americas, and working closely with the Senior Director, Marketing – Americas, the Manager will collaborate with…
Added 15 mins ago
RC
Social Media Lead
RHEI CREATIONS USA INC
AB · BC · ON
- $53,000 to $63,000 CAD / year
- Full-time
Fluency with native platform tools and analytics, plus scheduling and social management platforms (e.g. Sprout Social, Later, Sprinklr, or similar)
Added 30 mins ago
Q
Conversation Bot Engineer - Dialogflow CX
Quantiphi
Toronto, ON
- $140,000 to $150,000 CAD / year
- Full-time
Monitor bot performance using analytics and optimize based on user behavior and feedback.
Added 30 mins ago
A
Senior Channel Sales Manager- Banks
ADP
Mississauga, ON
- $156,310 to $206,310 CAD / year
- Full-time
…companies of all sizes focus less on work and more on success. As a Senior Channels Sales Manager at ADP, you'll enjoy competitive compensation, comprehensive benefits, and a supportive…
Added 30 mins ago
MC
Manager, Business Banking Credit
Meridian Credit Union
Guelph, ON
- $79,100 to $110,000 CAD / year
- Full-time
…growth. A key responsibility is to lead a team of Analyst and Senior Analysts, with a mandate to train, develop and…
Added 30 mins ago
Senior Account Manager, LCS, Shopify
Google
Toronto, ON
Ability to use data and analytics to drive decision making, understanding of marketing measurements.
Added 30 mins ago
N
Account Executive
Nexxen
Toronto, ON
- Full-time
Manage complex sales cycles involving multiple internal and external stakeholders, including senior-level client decision-makers.
Added 30 mins ago
MD
IT Quality Analyst/Tester/SEBT Specialist - ITS3
Minnesota Direct Care and Treatment
Saint-Paul, NB · St.-Paul, NB
- Full-time
…less complex and of a smaller scope than those led by more senior Quality Assurance Analyst/Testing Lead (ITS4 and ITS5). The QA staff at this level require more direction, coaching, and…
Added 30 mins ago
TI
Senior AEM Lead Web Publisher
Tekgence Inc
Toronto, ON
- Contract
We are looking for a Senior AEM Lead Web Publisher with strong experience in Adobe Experience Manager (AEM), web content management, and digital publishing. The candidate will be…
Added 30 mins ago
TC
Senior Database Administrator (Oracle Application DBA / AWS Cloud)
Tata Consultancy Services
Toronto, ON
- $115,000 to $130,000 CAD / year
- Full-time
…Officers, Customer Experience leaders, Product leaders, Data and Analytics leaders, and other business decision-makers. The Interactive Partner serves as a trusted advisor, helping clients…
Added 30 mins 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 30 mins ago
G
Business Systems Developer
Grantek
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 30 mins ago
S
Talent Acquisition Senior Specialist
Savaria
Toronto, ON · Greater Toronto Area, Canada
- $75,000 to $105,000 CAD / year
- Full-time
As our Talent Acquisition Senior Specialist, you will play a critical role in attracting, engaging, and hiring top talent across North America. This is a hands-on recruitment role focused…
Added 30 mins ago
RS
Senior Analyst, Ecommerce & Digital
Rogers Sports & Media
Mississauga, ON
- Full-time
Senior Analyst, Ecommerce & Digital Analytics
Added 30 mins ago
PC
Senior Associate, Financial Services, Digital Banking Operations, Consulting
Pwc Canada
Toronto, ON
- Full-time
As a Operations Consulting - Senior Associate, unlock your potential and embrace the chance to drive meaningful outcomes that’ll elevate your career. Your role will include, but isn’t…
Added 30 mins ago
Senior Software Engineer
EarnIn
Vancouver, BC
…looking for an experienced, product-minded, and resourceful senior backend engineer to own the design, development, and operation of these services and the member outcomes they…
Added 46 mins ago
FG
Vice President, People & Culture
FFUN Group
Saskatoon, SK
- Full-time
As a member of our Senior Leadership Team, you'll lead our People & Culture and Payroll functions, contribute to business strategy, and play a critical role in attracting, developing, and…
Added 46 mins ago
L
Software Engineering Fellowship - LUNARTECH - Canada
LUNARTECH
Canada
- Part-time
Improving performance, reliability, observability, and developer experience
Added 46 mins ago
R
Associate Director, Operational Resilience
RBC
Toronto, ON
- Full-time
…organizational preparedness. You will lead reporting activities and analytics to assess the effectiveness of resilience programs, provide data-driven insights to support strategic…

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 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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