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Added 5 mins ago
MC
Technical Consultant III (35732)
Myticas Consulting
Toronto, ON
- Full-time
Translate complex business and functional requirements into technical designs, configuration strategies, data mappings, integration approaches, test strategies, and implementation plans.
Added 5 mins ago
MC
Technical Business Analyst – Syndigo PIM MDM (35930)
Myticas Consulting
Canada
- Contract
Write and execute UAT scripts, validate results, and manage defects through sign-off. Use AI-assisted test generation where appropriate.
Added 5 mins ago
C
Analyste fonctionnel Microsoft Dynamics CE / Power Platform
CGI
Montreal, QC
- Full-time
Configure, document, and test Dynamics 365 and Power Platform solutions.
Added 5 mins ago
S
Coating/Painting & Welding Inspector
SGS
Toronto, ON
- $50 to $55 CAD / hour
- Contract
Inspect surface cleanliness and profiles using industry standards (such as SSPC/NACE surface standards SSPC-SP1 through SP15 and tape test profiles)
Added 5 mins ago
WI
Aquatic Toxicologist
WSP in Canada
BC · British Columbia, Canada
- Full-time
Design, coordinate, and interpret results of aquatic toxicity studies, and integrate literature and toxicity test data to support development of site-specific toxicity thresholds and…
Added 5 mins ago
S
Mechanical / API Inspector - Contract
SGS
Regina, SK
- $50 to $55 CAD / hour
- Contract
Experienced in witnessing NDE test (UT, PT, MT, RT, etc..) and verifying test reports.
Added 6 mins ago
S
Coating/Painting & Welding Inspector
SGS
Toronto, ON
- $50 to $55 CAD / hour
- Contract
Inspect surface cleanliness and profiles using industry standards (such as SSPC/NACE surface standards SSPC-SP1 through SP15 and tape test profiles)
Added 6 mins ago
A
Sales Associate - Northland Volkswagen
AutoCanada
Calgary, AB
- $70,000 to $200,000 CAD / year
- Other
Present used and new cars through test drives, demonstrations, and dealership walk-throughs
Added 6 mins ago
CN
Lodge Manager - CSE
Civeo North America
Fort McMurray, AB
- Full-time
Must be abele to pass a pre-access Drug & Alcohol test.
Added 6 mins ago
MC
Senior Mechanical PCB Engineering Consultant (35428)
Myticas Consulting
Ottawa, ON · Kanata, ON
- Contract
Support the mechanical design and enhancement of the Nirvana Test Board by:
Added 6 mins ago
MC
Senior Cybersecurity Test Engineer (35651)
Myticas Consulting
Ottawa, ON
- Contract
We are seeking a Senior Cybersecurity Test Engineer to lead and execute security testing activities across applications, infrastructure, cloud environments, APIs, and system integrations.…
Added 6 mins ago
MC
Senior QA Engineer III – Automation | Banking | API | Kafka | ETL (35729)
Myticas Consulting
Ottawa, ON
- Full-time
We are seeking a Senior QA Engineer III with strong hands-on test automation and banking/financial services experience to support complex enterprise applications and integration…
Added 6 mins ago
MC
Link Layer Integration Testing Manager (35387)
Myticas Consulting
Ottawa, ON
- Full-time
Develop and maintain verification plans, test procedures, acceptance criteria, and verification matrices.
Added 6 mins ago
MC
Network Engineer (35135)
Myticas Consulting
Ottawa, ON
- Full-time
…guidance on network configurations, documentation, use cases, test cases, and service design improvements. This role acts as a Subject Matter Expert for network services and configurations…
Added 6 mins ago
MC
Network Technologist (35945)
Myticas Consulting
Ottawa, ON
- Full-time
Experience operating spectrum analyzers and related RF test equipment.
Added 6 mins ago
SH
Chemical Scientist
Siemens Healthineers
Ottawa, ON
- Full-time
…production of new and existing sensors in the Epoc electrochemical test platform, while also generating and completing other technical activities and documentation (e.g.,…
Added 6 mins ago
MC
Senior ASIC Verification Engineer (35885)
Myticas Consulting
Ottawa, ON · Kanata, ON
- Full-time
…involves developing robust verification environments, creating test strategies, and collaborating with cross-functional engineering teams to deliver high-quality silicon and hardware…
Added 6 mins ago
MC
Senior Test Engineering Specialist (36135)
Myticas Consulting
Gatineau, QC
- Full-time
Verify that products under test meet technical, functional, performance, and business requirements.
Added 6 mins ago
MC
Coherent Optical Systems Engineer (35886)
Myticas Consulting
Ottawa, ON · Kanata, ON
- Full-time
Develop automated test, measurement, and data-acquisition processes.
Added 6 mins ago
CG
Procurement Specialist
Calian Group
Ottawa, ON
- Full-time
Work closely with Test Station build team and inventory management to prevent shortages and handle day-to-day requests for part orders.
Added 6 mins ago
RE
Sr. Competitive Systems Designer (Apex Legends)
Respawn Entertainment
Vancouver, BC · Greater Vancouver Metropolitan Area
- Full-time
…leaderboards, scoring, rewards, and new ways for players to test their…
Added 6 mins ago
S
Coating/Painting & Welding Inspector
SGS
Hamilton, ON
- $50 to $55 CAD / hour
- Contract
Inspect surface cleanliness and profiles using industry standards (such as SSPC/NACE surface standards SSPC-SP1 through SP15 and tape test profiles)
Added 6 mins ago
S
Coating/Painting & Welding Inspector
SGS
Hamilton, ON
- $50 to $55 CAD / hour
- Contract
Inspect surface cleanliness and profiles using industry standards (such as SSPC/NACE surface standards SSPC-SP1 through SP15 and tape test profiles)
Added 6 mins ago
C
Director, Product Development & External Manufacturing
Corinex
Vancouver, BC
- Full-time
…with global foundry, Outsourced Semiconductor Assembly and Test (OSAT), contract manufacturing, and strategic sourcing…
Added 6 mins ago
C
Full Stack Developer
CGI
Vancouver, BC
- Full-time
CGI is seeking a Full Stack Developer to design, develop, test, integrate, and support modern enterprise applications.

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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