IT & data jobs in Canada

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Added 18 days ago
P
Systems Administrator
Pelmorex
Oakville, ON
- Full-time
Monitor service health, logs, performance, resource utilization, and data transfers; investigate irregularities and resolve issues within agreed service levels.
Added 18 days ago
ZI
Systems Administrator
ZenaTech Inc.
Vancouver, BC
- $60,000 to $70,000 CAD / year
- Full-time
…and implementing cybersecurity protocols to protect sensitive…
Added 18 days ago
Senior Data Analyst
Government of Alberta
AB
Reporting to the Product Manager, Motor Vehicle Modernization, the Senior Data Analyst analyses complex traffic safety system data to identify trends, patterns, and insights that support…
Added 18 days ago
Systems Administrator - Dev Ops
University of Toronto
Toronto, ON
…various formats, including electronic, print, audio-visual, data and geospatial materials. UTL also boasts impressive holdings of archival material and substantial digital collections,…
Added 18 days ago
Software Programs - Software Development Manager
OSI Maritime Systems
Burnaby, BC
Added 18 days ago
SL
Data Engineer
Staffingine LLC
Toronto, ON
- Full-time
Ideal Candidate Profile: A hands-on Data Engineer with strong Databricks, Python, Azure database, and Oracle experience. AI experience will be an added advantage.
Added 18 days ago
TS
IT Support Specialist
The Shaw Group
Lantz, NS
- Full-time
Added 18 days ago
CH
Data Analyst
Cardinal Health
Vaughan, ON · Canada-Vaughan
- Full-time
The Data & Analytics Function manages the analytics lifecycle, from data platforms and access through reporting, business intelligence, and advanced quantitative modeling. The function…
Added 18 days ago
II
Business Systems Analyst (Pricing & Promotions)
Infojini Inc
ON · Ontario, Canada
- Contract
Analyze integrations with POS, eCommerce, Loyalty, and Master Data systems.
Added 18 days ago
E
Principal Data Scientist
EXL
ON · Ontario, Canada
- Full-time
We are hiring a US based Principal Data Scientist to be our most senior technical voice in data science. You will turn business problems into practical machine learning and GenAI solutions,…
Added 18 days ago
AC
RQ11680 and RQ11681 - Peoplesoft HCM -Systems Analyst - Senior
A.T. Consulting & Recruiting Inc.
Toronto, ON
- Contract
Must Have: Peoplesoft HCM Exp
Added 18 days ago
TI
Financial Data Analyst / Le/L'Analyste de données financières
TS Imagine
Montréal-Ouest, QC
- Full-time
Added 18 days ago
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RQ00834 - Database Administrator - Intermediate
Maarut
Toronto, ON
- Contract
Microsoft Certified: Fabric Data Engineer Associate
Added 18 days ago
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Data Engineer
Luxoft
Canada
- Full-time
Design and build backend services and APIs, including system-to-system integrations, on relational data
Added 18 days ago
IW
Business Systems Analyst
IG Wealth Management
MB · Manitoba, Canada
- Full-time
…continuous improvement of technology risk processes, systems, data, and reporting. The role works with Technology Risk, Cybersecurity, Technology, and business stakeholders to understand…
Added 18 days ago
IW
Business Systems Analyst
IG Wealth Management
ON · Ontario, Canada
- Full-time
…continuous improvement of technology risk processes, systems, data, and reporting. The role works with Technology Risk, Cybersecurity, Technology, and business stakeholders to understand…
Added 18 days ago
Staff Machine Learning Engineer
Twilio
ON
You will drive improvements to managing LLM workloads across the company, while ensuring easy and compliant access to data for AI/ML exploration and product development. This role requires…
Added 18 days ago
Deskside Systems Consultant
Long View Systems
Calgary, AB
Maintain accurate asset records and follow approved procedures for secure storage, data handling, device reuse and disposal.
Added 18 days ago
CH
Data Analyst
Cardinal Health
Vaughan, ON · Canada-Vaughan
- Full-time
The Data & Analytics Function manages the analytics lifecycle, from data platforms and access through reporting, business intelligence, and advanced quantitative modeling. The function…
Added 18 days ago
B
Data Engineer, Fraud Predictive Analytics
BMO
Toronto, ON · FCP
- Full-time
…business/groups. Drives innovation through the development of Data & AI products that can be leveraged across Financial Crimes Unit to build advanced fraud detection, fraud investigation,…
Added 18 days ago
IC
Senior Application Systems Analyst
iPartner Consulting
Toronto, ON
- Contract
Configure and support Microsoft Dynamics AX/D365 F&O environments, including Data Management Framework (DMF) and system integrations.
Added 18 days ago
QM
Technical Project Manager
Quantum Management Services Ltd.
Toronto, ON · Etobicoke, ON
- $85,000 to $100,000 CAD / year
- Full-time
Added 18 days ago
VG
Microsoft Level 1 / Level 2 On-Site IT Support Consultant – 1 Day/Week – Calgary, AB
VNEXT Group
Calgary, AB
- Contract
Schedule: One 8-hour on-site day per week · This is an hourly contractor engagement with a regular requirement of one 8-hour on-site day per week
Added 18 days ago
RT
Senior Database Administrator
Russell Tobin
Toronto, ON
- $55 to $60 CAD / hour
- Contract
Microsoft Certified: Fabric Data Engineer Associate
Added 18 days ago
H
Senior Application Security Engineer
Hays
Toronto, ON
- Contract

EXL

Principal Data Scientist

ON, Canada
Ontario, Canada, Canada

Full-time

Apply on LinkedIn About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Apr 21, 2027
Posting language: English
Posted: Oct 23, 2026

Original job description

Role summary

We are hiring a US based Principal Data Scientist to be our most senior technical voice in data science. You will turn business problems into practical machine learning and GenAI solutions, then make sure the wider team can build, deploy and maintain them. The role works across an onshore and offshore team, so clear design, documentation and mentoring matter as much as modeling skill.

Key responsibilities

Solution design and delivery

Translate ambiguous business problems into well-scoped data science solutions with clear success metrics.
Design end-to-end solutions, from data requirements and modeling approach to deployment and monitoring.
Build reference implementations, reusable components and templates the team can extend.
Make build, buy and reuse decisions, and balance accuracy against cost, speed and maintainability.

Enabling the team to implement

Write clear design documents, runbooks and code standards so solutions can be built and supported by others.
Review code, models and experiments; set the bar for quality and reproducibility.
Mentor data scientists and ML engineers, and run knowledge-sharing sessions.
Hand over solutions cleanly, then stay available to unblock the team through delivery.

Onshore/offshore collaboration

Work with onshore and offshore teams as one unit, with shared standards, tooling and ways of working.
Run design reviews and planning sessions that suit multiple time zones, with clear written decisions.
Keep context flowing between business stakeholders and offshore delivery teams.

Advanced analytics, ML and GenAI

Apply statistical modeling, machine learning and forecasting to problems such as prediction, optimization and segmentation.
Identify and prototype GenAI use cases (for example summarization, document extraction, natural-language data access) and take proven ones to production.
Define evaluation methods for models and LLM output, including accuracy, bias, drift and cost.

Governance and stakeholder partnership

Advise senior leaders on what data science can and cannot deliver, in plain language.
Work with data engineering and platform teams on pipelines, MLOps and model monitoring.
Uphold responsible-AI, privacy and security standards across all solutions.

Required qualifications

Master's or Bachelor's in Data Science, Statistics, Computer Science, Mathematics or a related quantitative field (or a bachelor's with equivalent experience).
7+ years in data science or applied machine learning, with a record of solutions running in production.
Strong Python and SQL; experience with common libraries such as scikit-learn, pandas, PyTorch or TensorFlow.
Deep knowledge of statistics, experimental design and core ML techniques (supervised, unsupervised, time series, NLP).
Proven experience designing solutions that other teams implemented and maintained, with documented patterns and handoff.
Experience leading or mentoring data scientists and engineers, formally or as a technical lead.
Experience working with distributed teams across time zones.
Clear communication with both technical teams and business executives.

Preferred qualifications

Hands-on experience with LLMs: prompt design, retrieval-augmented generation (RAG), fine-tuning and evaluating output quality.
MLOps experience: model versioning, CI/CD for ML, monitoring and retraining (for example MLflow, Kubeflow, SageMaker, Azure ML, Vertex AI).
Experience with cloud data platforms such as Snowflake, Databricks, BigQuery or Microsoft Fabric.
Familiarity with Spark or other distributed processing frameworks.
Domain experience in our industry: [industry].
Publications, patents or open-source contributions.
Relevant cloud or ML certifications.

Skills and competencies

Technical depth: sound modeling judgment and the ability to pick the simplest approach that works.
Pragmatism: designs solutions the team can actually build, run and support.
Technical leadership: sets standards, reviews work and raises the skill of those around them.
Communication: writes clearly, documents decisions and explains models to non-technical audiences.
Cross-team collaboration: builds trust across onshore and offshore teams and time zones.
Business focus: ties every model to a measurable outcome.
Responsible AI: weighs bias, privacy, security and explainability from the start.

Apply on LinkedIn About employer

More about this job

Responsibilities

Design end-to-end machine learning and generative AI solutions, from defining business problems and success metrics through deployment, monitoring, and governance. Set technical standards, document reusable approaches, mentor data scientists and engineers, and coordinate delivery across onshore and offshore teams.

Requirements

Requires a bachelor's or master's degree in a quantitative field, at least 7 years of data science or applied machine learning experience, and a record of production solutions. Candidates should have strong Python and SQL skills, deep knowledge of statistics and machine learning, experience leading or mentoring others, and clear communication skills for technical and business audiences.

Skills

Python
SQL
Statistical Modeling
Experimental Design
Machine Learning
Forecasting
Natural Language Processing
Generative AI
Large Language Models
Retrieval-Augmented Generation
MLOps
Model Evaluation
Technical Leadership
Mentoring
Cross-Time-Zone Collaboration
Responsible AI

Visa sponsorship

Not detected in the job text

Keywords

Python
SQL
Scikit-Learn
Pandas
PyTorch
TensorFlow
Machine Learning
Statistical Modeling
Experimental Design
Time Series
Natural Language Processing
Generative AI
Large Language Models
Prompt Design
Retrieval-Augmented Generation
Fine-Tuning
Model Evaluation
MLOps
MLflow
Kubeflow
SageMaker
Azure Machine Learning
Vertex AI
Snowflake
Databricks
BigQuery
Microsoft Fabric
Spark
CI/CD
Model Monitoring

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IT & data jobs in Canada

Systems Administrator

Systems Administrator

Senior Data Analyst

Systems Administrator - Dev Ops

Software Programs - Software Development Manager

Data Engineer

IT Support Specialist

Data Analyst

Business Systems Analyst (Pricing & Promotions)