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Added 3 mins ago
T
Cost Analyst
Thermon
Orillia, ON
- Full-time
The Cost Analyst is a member of the Business Group Finance team responsible for providing cost analysis, cost reporting, and productivity project analysis and planning support to…
Added 3 mins ago
Senior HR Business Partner
Payments Canada
Ottawa, ON · Toronto, ON
Translate complex data sets, dashboards, turnover trends, retention risks and compensation equity metrics into actionable, evidence-based business insights.
Added 3 mins ago
TG
Production Manager
Trench Group GmbH
Pickering, ON
- $115,000 to $150,000 CAD / year
Stellenanzeige: HR Business Partner (m/f/d) - Trench Germany GmbH
Added 3 mins ago
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Director, Program Management
Walmart
Mississauga, ON
- Full-time
Adopts a holistic perspective that considers data, analytics, customer insights, and different parts of the business when making plans and implementing strategies.
Added 3 mins ago
AR
Senior Financial/Compensation Analyst (16 month) Temp
Acrisure Re
Toronto, ON
- $70,000 to $110,000 CAD / year
- Full-time
…reinsurance programs covering complex and technical books of business. Founded in Toronto more than 25 years ago we are one of the few reinsurance brokers that work on Global reinsurance…
Added 3 mins ago
TM
Senior Financial Analyst
The Mason Group - Strategic Search Partners
Burlington, ON
- $105,000 to $115,000 CAD / year
- Full-time
Our client is seeking a highly analytical and business-focused Senior Financial Analyst to join their Finance team. The Senior Financial Analyst is an integral part of the Corporate Finance…
Added 3 mins ago
AL
Accounts Payable Analyst
Air Liquide Healthcare
Mississauga, ON
- Full-time
…transactions, while supporting our transition into more automated, data-driven AP…
Added 18 mins ago
AG
Coordinator, Performance
Adelphi Group
Vancouver, BC
- Full-time
Pull and organize performance data for reporting and analysis
Added 18 mins ago
AG
Associate Director, Search
Adelphi Group
Toronto, ON
- Full-time
…Bing Ads and Amazon Search Ads ensuring activation aligns with business objectives and drives measurable…
Added 18 mins ago
AG
Campaign Manager, Social
Adelphi Group
Toronto, ON
- Full-time
· Analyze performance data and translate into actionable insights and recommendations
Added 18 mins ago
OS
Economic, Market & Analysis Co-op Student
Ontario Securities Commission
Toronto, ON · CA ON Toronto
- Full-time
Demonstrated experience with with Python and/or R for data preparation, analysis and visualization. Proficient with Microsoft Excel and experience building reports and dashboards using…
Added 18 mins ago
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Senior Manager, Procurement Portfolio Advisor
TD
Toronto, ON
- Full-time
This position leads a portfolio of shared procurement capabilities, including Insights & Analytics, Category & Market Intelligence, Supplier/Client Intelligence, and Responsible Sourcing.…
Added 18 mins ago
NC
Aviation Predictive Analytics Co-op Student
NAV CANADA
Ottawa, ON
- Full-time
…developing models to forecast aviation activity and other key business metrics that directly support strategic planning and decision-making across NAV…
Added 33 mins ago
ED
Sr. Analyst, Mid-Market Lending-Western Region - EN 817
Export Development Canada | Exportation et développement Canada
Calgary, AB
- $74,297 to $99,063 CAD / year
- Full-time
…corporation, we offer innovative financial solutions and expert insights to help businesses explore new markets, mitigate risks, and achieve…
Added 33 mins ago
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Consultant
NovaSpace
Montreal, QC
- Full-time
…from project strategy definition to implementation, providing data-led perspectives on critical issues. Our mission is to empower clients with strategic and technical insights, enabling…
Added 33 mins ago
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Sales Vertical Manager - Global Business Solutions - Canada
TikTok
Toronto, ON
- Full-time
- Ability to analyze data and identify insights to assess campaign performance
Added 33 mins ago
PC
Vice President of Sales
Phoenix Contact Canada
Milton, ON
- Full-time
…competitive dynamics and the commercial levers required to grow the business. Through market intelligence, customer insights, competitive positioning and market share analysis, the Vice…
Added 33 mins ago
ED
Sr. Analyst, Mid-Market Lending-Western Region - EN 817
Export Development Canada | Exportation et développement Canada
Vancouver, BC
- $74,297 to $99,063 CAD / year
- Full-time
…corporation, we offer innovative financial solutions and expert insights to help businesses explore new markets, mitigate risks, and achieve…
Added 33 mins ago
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Estate Insurance Associate
BMO
Toronto, ON · FCP
- Full-time
Analyzes data and information to provide insights and recommendations.
Added 33 mins ago
A
Regional Sales Manager
ApplyBoard
Kitchener, ON
- Full-time
Build strong relationships with prospective and existing customers to win new business, strengthen loyalty, and support long-term retention.
Added 33 mins ago
SC
Senior Financial Analyst FP&A
Sleep Country
Brampton, ON
- Full-time
Demonstrated analytical and problem-solving skills, with the ability to understand business operations, identify key drivers, and translate data into actionable insights.
Added 33 mins ago
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GLOBAL KNOWLEDGE , TRAINING AND DEVELOPMENT LEAD
Manulife
Toronto, ON · Waterloo, ON · Montreal, QC
- Full-time
Assess learning effectiveness using participant feedback, operational insights, and business outcomes, and identify opportunities to enhance capability-building and readiness programs.
Added 33 mins ago
Senior Advisor, Risk Management
VIA HFR - VIA TGF Inc
Ottawa, ON · Toronto, ON · Montreal, QC
Strong analytical skills with the ability to interpret complex data, identify trends, and develop actionable insights.
Added 33 mins ago
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Senior Product Manager
Liferaft
Remote, Canada
- Full-time
- Remote
Data-Driven Decision Making: Leverage analytics and user feedback to measure product performance and guide iterative improvements.
Added 33 mins ago
V
Director, Marketing
veritree
Remote, Canada
- $150,000 to $250,000 CAD / year
- Remote
Marketing is a predictable growth driver. Inbound and marketing-influenced pipeline hit agreed targets, backed by a data-driven channel mix and a forecast Sales can plan around.

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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