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Added 13 mins ago
A
Account Manager, XM
Acosta
Toronto, ON
- Full-time
Work closely with other key account team partners to determine meaningful business metrics for the program and help to build reporting around it to drive the business;
Added 27 mins ago
HT
Financial Manager - PLM (Product Line Mgmt)
Husky Technologies
Bolton, ON
- Full-time
Experience partnering with senior business stakeholders
Added 27 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 27 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 43 mins ago
MI
Senior Associate, Nexus, Client Delivery
MUFG Investor Services
Halifax, NS
- Full-time
Prepare Net Asset Value packages and all supporting scheduled to be reviewed by senior members of the team.
Added 43 mins ago
A
Director of Rooms Division (Full-Time)
AccorHotel
Ottawa, ON
- Full-time
Leverage business intelligence, operational analytics, and forecasting tools to support data-driven decision making.
Added 1 hour ago
ST
Senior IT Systems Specialist
Saltworks Technologies
Richmond, BC
- $110,000 to $140,000 CAD / year
- Full-time
Saltworks Technologies has an immediate opening for a Senior IT Systems Specialist. You will own our technology infrastructure, from on-premises servers and cloud platforms to enterprise…
Added 1 hour ago
IG
Senior IT Business Analyst- SAP HR
Insight Global
Mirabel, QC
- $125,000 to $138,000 CAD / year
- Full-time
The Senior IT Business Analyst, SAP HR position is based in Mirabel, Quebec. This role will investigate incidents and change requests, gather and translate business requirements, recommend…
Added 1 hour ago
ML
Sr. Demand Planner
Maple Leaf Foods Inc
Mississauga, ON
- $71,000 to $103,000 CAD / year
- Part-time
…operations and commercial teams.To be successful in the role, the Senior Demand Planner must possess the business acumen and interpersonal skills to build and maintain relationships with…
Added 2 hours ago
J
Success Enablement Manager
Jobber
Remote, Canada
- Full-time
- Remote
…easy and professional customer experience. Running a small business today isn’t like it used to be. The way we consume and deliver service is changing rapidly, technology is evolving, and…
Added 2 hours ago
ML
Maintenance Manager
Maple Leaf Foods Inc
Winnipeg, MB
- Full-time
…plans, resource projections and communication with peers and senior…
Added 3 hours ago
OT
Sr. IT Software Developer
Open Text Corporation
Waterloo, ON
- Other
As a Sr. IT Software Developer (Digital Fullstack), you will independently deliver full-stack and platform capabilities for OpenText's digital experience ecosystem. You will work across…
Added 3 hours ago
OT
Principal Systems Architect (Copilot Architect)
Open Text Corporation
Mississauga, ON · Richmond Hill, ON · Waterloo, ON
- Other
Communicate complex architecture decisions in clear business context to senior leaders and diverse stakeholders.
Added 3 hours ago
NB
SME Account Manager, Business Flex
National Bank of Canada
Saskatoon, SK
- Full-time
Reporting to the Senior Director, Business Flex, you work with a team of 150 experts on a daily basis. 37.5-hour full-time position per week. The selected candidate will work in hybrid mode…
Added 4 hours ago
U
Principal Sales Performance Coach
UKG
Remote, Canada
- Full-time
- Remote
Partner with senior sales leaders to assess business performance, identify execution gaps, and develop targeted coaching strategies aligned with revenue priorities.
Added 4 hours ago
TC
Senior Sharepoint Developer
Tata Consultancy Services
Vancouver, BC
- Full-time
…themselves across the full AI stack, from infrastructure to…
Added 4 hours ago
ML
Sr. Specialist, International Recruitment (Licensed Canadian Immigration Consultant)
Maple Leaf Foods Inc
Mississauga, ON
- $71,000 to $103,000 CAD / year
- Part-time
As the Senior Specialist, International Recruitment, you will lead Immigration and Global Talent Programs at Maple Leaf Foods. You will have responsibility to oversee our LMIA applications,…
Added 4 hours ago
JH
Director, Total Rewards
JUST HR
Vancouver, BC · Greater Vancouver Metropolitan Area
- Full-time
…position the organization as a top employer. Working closely with senior stakeholders, this leader plays a key role in aligning HR strategies with broader business priorities in a global,…
Added 5 hours ago
2L
Senior Business Development Executive
247 Labs
Toronto, ON
- Full-time
Role Description This full-time, on-site Senior Business Development Executive role is based in Toronto, ON. The person in this role will identify and pursue new business opportunities,…
Added 5 hours ago
IW
Senior Specialist Process Management and Administration
IG Wealth Management
MB · Manitoba, Canada
- Full-time
…offering support to PM&A departments and collaborating with Senior Leadership across various business partners. Areas of expertise may include but are not limited to any combination of the…
Added 5 hours ago
IW
Senior Specialist Process Management and Administration
IG Wealth Management
ON · Ontario, Canada
- Full-time
…offering support to PM&A departments and collaborating with Senior Leadership across various business partners. Areas of expertise may include but are not limited to any combination of the…
Added 5 hours ago
WC
Director, Program Management
Walmart Canada
Mississauga, ON
- Full-time
…capabilities. This role provides overall direction by analyzing business objectives and customer needs, developing and implementing business strategies, and evaluating operational…
Added 5 hours ago
KR
Cost Accountant
Kassen Recruitment
Tillsonburg, ON
- Full-time
…gain broad exposure to Finance, Production, Supply Chain, and senior leadership while developing your expertise across cost accounting, financial planning, data analytics, and business…
Added 5 hours ago
AA
Ingénieur principal ou ingénieure principale en assurance qualité des logiciels/Senior Software Quality Assurance Engineer (ALQ)
Aviya Aerospace Systems
Longueuil, QC
- Full-time
…Aerospace and Defense Contractors. Aviya has an opening for a Senior Software Quality Assurance Engineer to join our engineering group in Montreal, Longueuil. ***Applicants are asked to…
Added 5 hours ago
C
Senior Project Manager - Electrical Engineer
Cascades
Mississauga, ON
- Full-time
Cascades is seeking a dynamic and solutions-oriented Senior Project Manager - Electrical Engineer to lead capital projects, electrical system upgrades, and reliability improvement…

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 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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