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Added 3 mins ago
S
Cosmetics Department - Clerk Front Store
Sobeys
Dartmouth, NS
- Full-time
What began as a meat delivery business in Stellarton, Nova Scotia has grown to over 128,000 teammates at corporate-owned and franchised store locations. Sobeys Capital Incorporated and its…
Added 3 mins ago
MD
Information Technology Specialist 5 - Unified Communications & Collaboration Architect
Minnesota Direct Care and Treatment
Saint-Paul, NB · St.-Paul, NB
- Full-time
…scalable communications services that support agency productivity, business continuity, and member service…
Added 3 mins ago
TS
Licensed Mechanic
The Seaboard Transport Group
Toronto, ON · North York, ON
- Full-time
Are you ready to accelerate your career with an innovative and family-owned business? At Seaboard Transport Group, we’re passionate about transportation - on the road, in the shop, and in…
Added 3 mins ago
KM
Technology Field Sales Representative (GTA) - Konica Minolta Business Solutions
Konica Minolta Business Solutions U.S.A., Inc.
Mississauga, ON
- $46,850 to $58,562 CAD / year
- Full-time
Konica Minolta Business Solutions' (Konica Minolta) journey started more than 150 years ago, with a vision to see and do things differently. The company partners with clients to Give Shape…
Added 3 mins ago
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MONTRÉAL [HYBRID] - Production CSIRT Analyst Level III
QUANTEAM - North America (RAINBOW PARTNERS Group)
Montreal, QC
- Full-time
…program via partnerships in the region within diverse lines of business, and externally with clients, partners and…
Added 3 mins ago
C
Digital Marketing Content Editor
Cella
Toronto, ON
- $47 to $53 CAD / hour
- Contract
Collaborate closely within an Agile squad consisting of visual designers, developers, sales analysts, translators, and cross-functional business partners.
Added 3 mins ago
BC
Director, Real Estate Development (Life Sciences / Pharma)
Broccolini Construction Inc.
Toronto, ON
- Full-time
Takes a proactive stance in business development initiatives and functions
Added 3 mins ago
M
Junior Full Stack Web Developer
Mitel
Ottawa, ON
- Full-time
…customers. You will deliver valuable contributions in creating business success within our global organization utilizing your unique attributes, skills and…
Added 3 mins ago
SL
Business Development Partner
Sun Life
AB · Red Deer, AB
- Full-time
The primary purpose of the Business Development Partner (BDP) is to recruit, onboard, train, develop and coach developing advisors during their first four years. You’ll play an important…
Added 3 mins ago
KM
Customer Success Manager (Burnaby)
Konica Minolta Business Solutions (Canada) Ltd.
Burnaby, BC
- Full-time
Provide support as needed to acquire new business opportunities
Added 3 mins ago
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Customer Success Technical Coordinator - Bilingual (FR/EN)
Numeris
Toronto, ON
- Full-time
…and consumer behaviour data. As well, the industry leading intelligence provider to broadcasters, advertisers, and agencies. We have been recognized for over 75 years as providing the gold…
Added 3 mins ago
C
Java Developer - Rates Technology
Citi
Mississauga, ON · Toronto, ON
- Full-time
We are seeking a highly skilled and experienced Application Developer to join our dynamic Rates Technology team. This position is responsible for the development of new and revised…
Added 3 mins ago
C
Client Engagement Associate
CIBC
Abbotsford, BC
- Full-time
As a member of the Personal and Business Banking Team, you’ll work in a fast-paced Banking Center and use your knowledge of financial services products to help clients with their day-to-day…
Added 3 mins ago
CT
Manager, Analytics Engineering
Canadian Tire Corporation
Toronto, ON
- Full-time
…with architecture, analytics, security, infrastructure, and business teams to establish AI-enabled engineering and migration patterns, manage delivery risks, and build a sustainable Azure…
Added 3 mins ago
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Senior Director, Project Delivery (Hybrid)
Broadridge
Toronto, ON
- Full-time
Partner with Sales, Account Management, Product and Business Strategy to qualify, size and shape new opportunities, including statements of work, fixed-fee pricing, staffing plans, delivery…
Added 3 mins ago
AW
Incident Commander
Arctic Wolf
Waterloo, ON · Office - CAN - Ontario, Waterloo
- $65,000 to $143,000 CAD / year
- Full-time
…threats through industry-leading security operations, threat intelligence, and a people-first approach to…
Added 3 mins ago
I
Sr.Consultant(e) en sémantique des données de santé/Senior Advisor Health Data Semantics
IQVIA
Montreal, QC
- Full-time
…sémantiques, l’interopérabilité, les graphes de connaissances et l’intelligence artificielle (IA), ainsi que la capacité à comprendre les besoins des clients et à les traduire en solutions…
Added 17 mins ago
C
Director of Global Brand Partnership
CarltonOne
Toronto, ON · Greater Toronto Area, Canada
- Contract
Build and maintain senior-level relationships while developing joint business plans aligned with commercial and organizational objectives.
Added 17 mins ago
CG
Food Service Manager (CSNM) , Contract
Compass Group Canada
Orillia, ON
- Full-time
…not a requirement for this role. Please note that artificial intelligence–based tools may be used at certain stages of the recruitment and applicant screening…
Added 17 mins ago
FS
Manager, Public Relations and Marketing Communications – Americas
Four Seasons Hotels and Resorts
Toronto, ON · Four Seasons Corporate Headquarters Toronto
- Full-time
Added 17 mins ago
Human Resources Generalist
Celestica International LP
Newmarket, ON
Strong business and operational acumen to effectively partner with site business leaders.
Added 17 mins ago
E
District Director
Extendicare
Belleville, ON · ParaMed Admin Office - SE (Sidney St.)
- Full-time
Would you like to help lead business transformation? We are looking for a strong and experienced Leader who will be responsible for managing all operational and clinical aspects of our…
Added 17 mins ago
E
District Director
Extendicare
Oshawa, ON · ParaMed Admin Office - CE (King St.)
- Full-time
Would you like to help lead business transformation? We are looking for a strong and experienced Leader who will be responsible for managing all operational and clinical aspects of our…
Added 32 mins ago
S
Deli - Manager Deli @ Our Broadmead Location
Sobeys
Victoria, BC
- Full-time
What began as a meat delivery business in Stellarton, Nova Scotia has grown to over 128,000 teammates at corporate-owned and franchised store locations. Sobeys Capital Incorporated and its…
Added 32 mins ago
IG
Back End Developer
Insight Global
Canada
- $55 to $75 CAD / hour
- Contract
Insight Global is hiring a Backend Developer for a leading retail organization to support the continued development and enhancement of its finance integration platform. This individual will…

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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