Jobs in Canada

Save this search

Added 4 days ago
Big Data Engineer
LanceSoft, Inc.
Toronto, ON
Contract
An experienced Data Engineer with strong expertise in Big Data technologies to design, develop, and support enterprise-scale data platforms. The ideal candidate should possess hands-on…
Added 4 days ago
Machine Learning Engineer - Early Career (Canada)
Jobright.ai
Canada
Full-time
…scalable infrastructure for AI agents, as well as optimize data processing and develop automated systems for model…
Added 4 days ago
Senior Machine Learning Engineer Specialist – AI Centre of Excellence (35668)
Myticas Consulting
Canada
Contract
We are seeking an experienced Senior Machine Learning Engineer / Specialist to support an enterprise AI Centre of Excellence (AI CoE) and its Machine Learning and Data Science initiatives.
Added 5 days ago
Intern - Data Scientist, Winter 2027
EQ Bank | Canada's Challenger Bank
Toronto, ON
Added 4 days ago
Intern - Data Scientist, Winter 2027
EQ Bank
Toronto, ON
Full-time
Added 5 days ago
Machine Learning Engineer
Manulife
Toronto, ON
Full-time
We are seeking an innovative and experienced Machine Learning Engineer to join our AI + Data team, a cross-functional group spanning Operations, Technology, and Marketing. Our team's…
Added 5 days ago
Senior Machine Learning Engineer
Royal Bank of Canada
Calgary, AB · Toronto, ON
Full-time
Added 4 days ago
Data Scientist
TMC Canada
Montreal, QC · Greater Montreal Metropolitan Area
Full-time
TMC Canada is looking for a Data Scientist to join our Montréal team in a hybrid role, supporting a major financial services client on cutting-edge Machine Learning and AI initiatives.…
Added 4 days ago
Senior Machine Learning Engineer
RBC
Toronto, ON
Full-time
Added 5 days ago
Data Scientist | Data Scientist
Cirque du Soleil Entertainment Group
Montreal, QC
Full-time
Added 5 days ago
Senior Data Scientist
BMO
Toronto, ON · BMOPLACE
Full-time
We are seeking a Senior Data Scientist who combines deep expertise in machine learning with strong software engineering skills and experience building and deploying production-grade ML…
Added 5 days ago
Data Scientist
BMO
Toronto, ON · BMOPLACE
Full-time
…will work across the full machine learning lifecycle, from data preparation and experimentation to production deployment and…
Added 4 days ago
Data Modeler
MethodHub
Toronto, ON
Contract
The Data Modeler is responsible for designing, governing, and optimizing the data models required to migrate analytical and operational workflows from Alteryx into Azure Synapse. This role…
Added 4 days ago
Machine Learning Engineer Intern – Voice AI
Alexander College
Vancouver, BC
Full-time
Added 4 days ago
AWS Data Architect
Quantiphi
Canada
Full-time
Added 4 days ago
Data Architect
Yochana
Toronto, ON
Full-time
We are seeking an experienced Data Architect to lead the architecture and modernization of our enterprise data platforms. This role is critical as we undertake a large-scale migration from…
Added 4 days ago
Data Modeler
Tekgence Inc
Calgary, AB
Contract
8+ years of experience in data modeling, ETL development, data engineering, or related roles.
Added 4 days ago
Data Architect
VySystems
Toronto, ON
Full-time
Job Summary We are seeking an experienced Data Architect to lead the architecture and modernization of our enterprise data platforms. This role is critical as we undertake a large-scale…
Added 4 days ago
Data Scientist
AgileGrid Solutions
Canada
Full-time
Added 4 days ago
Data Architect – Aviation Domain (AWS / PostgreSQL / IATA)
Syncredible Solutions
Canada
Contract
We are seeking an experienced Data Architect with strong aviation industry knowledge to lead enterprise data modeling, Common Data Model (CDM), and integration initiatives across airline…
Added 4 days ago
Senior Data Scientist - Scientifique des données principal(e) (niveau senior)
Jobgether
Canada
Full-time
…applications and next steps. Our partner is looking for a Senior Data Scientist - Scientifique des données principal(e) (niveau senior) based in…
Added 6 days ago
Data Scientist
MLSE (Maple Leaf Sports & Entertainment Partnership)
Toronto, ON
Full-time
Added 5 days ago
Machine Learning Engineer - Early Career (Canada)
Jobright.ai
Canada
Full-time
…scalable infrastructure for AI agents, as well as optimize data processing and develop automated systems for model…
Added 5 days ago
Data Scientist II
Motion Recruitment
Toronto, ON
Contract
…with a leading financial institution. The team is seeking a Data Scientist, specifically a Business Information Management Analyst, for an initial six-month engagement with the possibility…
Added 1 month ago
Data Scientist
Coca-Cola Canada Bottling Limited
Toronto, ON
Full-time

AgileGrid Solutions

Data Scientist

Canada

Job type: Full-time
Posting language: English
Posted: Sep 15, 2026

Apply About employer

Applications open in a new tab.

Original job description

About The Company

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care.

What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you.

McKesson Corporation is seeking a highly skilled and innovative Lead Data Scientist with experience in Generative AI development. This role will lead the design, development, and deployment of cutting-edge machine learning and Generative AI solutions, leveraging advanced techniques to solve complex healthcare challenges and drive business transformation.

About The Role

The Lead Data Scientist role at McKesson offers an exciting opportunity to spearhead the development of advanced AI solutions that can revolutionize healthcare operations and patient outcomes. As a key member of our data science team, you will be responsible for designing, implementing, and maintaining state-of-the-art Generative AI models, including large language models and AI agents, to address diverse enterprise challenges. You will collaborate with cross-functional teams to translate complex business requirements into innovative AI solutions, ensuring they are scalable, secure, and compliant with industry regulations. Your leadership will be instrumental in establishing best practices for prompt engineering, model evaluation, and deployment, while mentoring junior team members. This role demands a combination of technical expertise, strategic thinking, and effective communication skills to influence stakeholders and drive impactful projects.

Qualifications

The ideal candidate will possess a master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Statistics, Data Science, or a related field. You should have 7-10+ years of experience in data science or advanced analytics, with a proven track record in developing and deploying Generative AI and large language models in production environments. Expertise in designing scalable ML and GenAI solutions, including RAG architectures and AI automation workflows, is essential. Strong proficiency in Python and modern ML frameworks such as PyTorch, TensorFlow, and Hugging Face is required. You should have a deep understanding of machine learning algorithms, statistical modeling, and data structures, along with experience working on cloud platforms like Azure (preferred), AWS, or GCP, and MLOps practices. Excellent communication skills are necessary to articulate complex technical concepts to diverse audiences, and demonstrated leadership in project management and stakeholder influence is highly valued.

Responsibilities

Lead the end-to-end lifecycle of Generative AI and agentic AI solutions, including ideation, research, prototyping, implementation, evaluation, deployment, and ongoing support.
Architect and develop scalable GenAI systems such as large language models, Retrieval-Augmented Generation (RAG), AI agents, and intelligent automation workflows to enhance decision-making, operational efficiency, and customer experience.
Drive adoption of best practices in prompt engineering, model evaluation, fine-tuning strategies, and secure hosting to ensure optimal performance and security.
Apply advanced data science and machine learning techniques across use cases including predictive modeling, NLP, anomaly detection, recommendation systems, and analytics enabled by GenAI.
Develop custom ML models and analytical frameworks tailored to complex healthcare data challenges, ensuring solutions are relevant and impactful.
Perform exploratory data analysis, feature engineering, and statistical analysis to generate insights and inform solution design.
Collaborate with engineering and platform teams to deploy, monitor, and maintain AI solutions in cloud environments, following MLOps best practices.
Establish model performance tracking, drift detection, and continuous improvement processes to ensure reliability and accuracy of deployed models and AI agents.
Ensure solutions are scalable, cost-effective, resilient, and aligned with enterprise architecture standards.
Maintain strong model governance, documentation, and auditability to meet regulatory and organizational standards.
Apply Responsible AI principles, including transparency, explainability, data privacy, and security, especially within healthcare contexts.
Provide guidance on the ethical and compliant use of LLMs and AI agents across various enterprise applications.
Work closely with business stakeholders and product managers to translate requirements into clear problem statements, solution designs, and project roadmaps.
Present technical insights and project updates to both technical teams and executive leadership.
Mentor junior data scientists and engineers, fostering a culture of innovation, continuous learning, and technical excellence.

Benefits

At McKesson, we are committed to offering a comprehensive benefits package that supports your health, well-being, and professional growth. Our Total Rewards program includes competitive salary packages, health insurance, retirement plans, and wellness programs. We also provide opportunities for continuous learning and development, including training, certifications, and career advancement programs. Additionally, employees enjoy work-life balance initiatives, paid time off, and employee assistance programs. We believe in recognizing and rewarding our team members' contributions and fostering a collaborative and inclusive work environment.

Equal Opportunity

McKesson is an Equal Opportunity Employer. We provide equal employment opportunities to all applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status,

Apply About employer

More about this job

Responsibilities

Lead the end-to-end lifecycle of Generative AI and agentic AI solutions to solve complex healthcare challenges. Collaborate with cross-functional teams to architect scalable systems and mentor junior data scientists.

Requirements

Requires a Master's or Ph.D. in a quantitative field and 7-10+ years of experience in data science with a focus on production-level GenAI. Proficiency in Python, modern ML frameworks, and cloud platforms like Azure is essential.

Skills

Generative AI
Large Language Models
Python
PyTorch
TensorFlow
Hugging Face
RAG Architectures
MLOps
Azure
Prompt Engineering
Predictive Modeling
NLP
Statistical Modeling
Project Management
Stakeholder Influence
AI Agents

Benefits

Competitive Salary Packages
Health Insurance
Retirement Plans
Wellness Programs
Continuous Learning And Development
Training
Certifications
Career Advancement Programs
Work-life Balance Initiatives
Paid Time Off
Employee Assistance Programs

Visa sponsorship

Not detected in the job text

Keywords

Generative AI
LLM
RAG
AI Agents
Python
PyTorch
TensorFlow
Hugging Face
Azure
AWS
GCP
MLOps
NLP
Predictive Modeling
Anomaly Detection
Recommendation Systems
Responsible AI
Healthcare Data
Prompt Engineering
Fine-tuning
Statistical Analysis
Feature Engineering
Model Governance
Data Privacy
Enterprise Architecture
Machine Learning
Data Science
Advanced Analytics
Cloud Computing
AI Automation

Report this job