toronto on data engineer lead Jobs – 137 Openings This Week

Lead Data Scientist, Next Best Action
Royal Bank of Canada —Toronto, ON
- Full-time
- Azure
- Computer Science
- Engineering
Lead Data and AI Quality Engineer
Royal Bank of Canada —Toronto, ON
- Full-time
- Oracle
- DevOps
- SQL
Change Delivery Lead – TD Securities Data, Delivery, and Integration
TD Bank —Toronto, ON
- $96,900–$136,800 a year
- Full-time
- PMP
- Project management
- Bachelor's
- Paid time off
4h
Machine Learning Software Engineer Team Lead
Royal Bank of Canada —Toronto, ON
- Full-time
- Computer Science
- Machine learning
- AI
Associate Director, Data Development Lead
Royal Bank of Canada —Toronto, ON
- Full-time
- Oracle
- DevOps
- Databases
14d
Lead Data Scientist, Fraud Applied AI & Innovation
Royal Bank of Canada —Toronto, ON
- Full-time
- Azure
- Data analysis skills
- Research
Senior Data Strategy & Analytics Lead
Scotiabank —Toronto, ON
- Microsoft Excel
- SQL
- Analysis skills
Program Manager- Senior Reliability, Maintenance, and Engineering (RME) Planner, NA Planning & BI
Amazon Canada Fulfillment Services, ULC —Mississauga, ON
- $69,700–$116,400 a year
- Full-time
- Microsoft Excel
- Up to 50% travel
- Engineering
- Profit sharing
- Dental care
2d
BI & Analytics Lead (Energy) -BIAEAS
NavitasPartners —Toronto, ON
- From $30 an hour
- SQL
- Python
- Analytics
Quick apply
1d
Lead Python Developer for Quantitative (QuantLib)
Recutify Inc. —Toronto, ON
- Full-time
- APIs
- Agile
- Python
Quick apply
Lead Business Analyst I
Braze —Toronto, ON
- $121,700–$159,100 a year
- Hybrid work
- SQL
- Machine learning
- Python
- Dental care
- Paid time off
Quick apply
Marketing Analytics Lead
Lyft —Toronto, ON
- $90,000–$112,500 a year
- Hybrid work
- Microsoft Excel
- Data analysis skills
- SQL
- Commuter benefits
- Dental care
4d
Research Assistant - Urban Analytics Institute
Toronto Metropolitan University —Toronto, ON
- From $21.11 an hour
- Immediate opening
- Writing skills
- Engineering
- Research
Business Analyst Lead - Investment Applications
Vichara —Toronto, ON
- $150,000–$180,000 a year
- Full-time
- Product management
- APIs
- Python
Quick apply
Machine Learning Lead, Edge AI Inferencing
Blumind —Markham, ON
- Full-time
- Hybrid work
- Doctoral degree
- Computer Science
- Engineering
Quick apply
Analytics Client Lead and Development
Advanced Analytics and Research Lab (AAARL) —Toronto, ON
- $3,500 a month
- Full-time
- Sales
- Marketing
- Analytics
- Work from home
- Flexible schedule
Technical Lead - Cloud Data Warehouse
Massive Insights —Toronto, ON
- Hybrid work
- Azure
- Computer Science
- Sales
- Dental care
Quick apply

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Research Assistant - Urban Analytics Institute
Toronto Metropolitan University —Toronto, ON
We seek a graduate student or recent graduate in traffic engineering or transport planning to assist in a short-term research project studying the impact of…
From $21.11 an hour
Program Manager- Senior Reliability, Maintenance, and Engineering (RME) Planner, NA Planning & BI
Amazon Canada Fulfillment Services, ULC —Mississauga, ON
These roles require scoping and creating project plans, developing processes, coordinating and driving execution, and communicating to senior management on…
$69,700–$116,400 a year
2d

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SAP Data Lead
Recutify Inc. —Markham, ON
The data management and Governance consultant will define strategies, develop, and deliver solutions that enable the collection, processing and management of…
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Machine Learning Lead, Edge AI Inferencing
Blumind —Markham, ON
Hardware-Aware ML: Lead the research and implementation of cutting-edge optimization techniques (e.g., hardware-aware training, aggressive quantization, pruning…
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Lead Data Scientist, Next Best Action

Royal Bank of Canada -
Toronto, ON

Apply Now

Job details

Full-time

Qualifications

TensorFlow
Azure
Data mining
Computer Science
PyTorch
Big data
Engineering
Spark
Google Cloud Platform
Master's degree
SQL
AWS
Machine learning
Computer Engineering
Natural language processing
Financial services
A/B testing
AI
Communication skills
Python
Marketing
Hadoop

Full job description

Job Description

What is the opportunity?

The Next Best Action (NBA) Machine Learning team of Personal Banking is seeking a seasoned, passionate and innovative Lead Data Scientist. In this role, you will lead efforts to solve complex AI/ML problems, analyze data, design solutions, and implement and monitor machine learning applications using cutting-edge tools and algorithms. Our mission is to remain at the forefront of the industry by enhancing client relationships and engagement through the execution of our NBA Strategy. To achieve this, we harness RBC’s extensive data assets and advanced AI capabilities to drive impactful client communications.

What will you do?

Collaborate with RBC internal partners to define use cases and design tailored AI solutions that address business needs.

Prepare, parse, and integrate large structured and unstructured datasets for model training and inference while ensuring data privacy and unbiased outcomes.

Design, develop, and operationalize state-of-the-art machine learning models, including feature engineering, model deployment, monitoring, and maintenance.

Lead the migration of models to cloud environments and expand the NBA System's marketing actions and machine learning capabilities.

Continuously validate and improve AI model performance to deliver innovative, scalable solutions.

Research and evaluate emerging technologies to drive innovation and maintain RBC's leadership in AI-driven client engagement.

Mentor junior data scientists and foster a collaborative, high-performing team environment.

What do you need to succeed?

Must-have

Master's in computer science, Computer Engineering or similar field.

4+ years of hands-on experience applying Machine Learning, preferably in Customer Marketing initiatives.

Experience in executing end-to-end machine learning lifecycle.

Proficiency in Python and libraries like PySpark, TensorFlow/PyTorch, and Scikit-learn.

Experience with big data ecosystems (e.g., Hadoop/Spark) and cloud platforms (e.g., AWS, Azure, GCP)

Understanding and hands-on experience of interpretability tools (e.g., SHAP).

Proficiency in writing and understanding complex SQL queries for data manipulation and feature engineering.

Strong interpersonal and communication skills to convey technical insights to diverse audiences.

Passion for ethical AI, including algorithm transparency and interpretability.

Nice to have

Experience deploying machine learning models into production using MLOps tools such as Airflow (e.g., DAGs), MLflow, and Kubeflow.

Familiarity with financial services data and regulatory compliance.

Expertise in running A/B tests and causal inference methods.

What’s In For You?

We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable.
Leaders who support your development through coaching and managing opportunities
Ability to make a difference and lasting impact
Work in a dynamic, collaborative, progressive, and high-performing team
Opportunities to take on progressively greater accountabilities.
Access to a variety of job opportunities across business and geographies.

#LI-POST
#TECHPJ

Job Skills

Artificial Intelligence (AI), Artificial Intelligence (AI), Automated Machine Learning (AutoML), Big Data Management, Commercial Acumen, Communication, Data Mining, Data Science, Data Science for Banking, Decision Making, Deep Learning, Leadership, Machine Learning (ML), Machine Learning Algorithms, Machine Learning Methods, Machine Learning Model Management, Marketing Campaigns, Natural Language Programming (NLP), Predictive Analytics, Problem Solving, PySpark, Python (Programming Language), Python Frameworks, Software Development, Statistical Machine Learning {+ 1 more}

Additional Job Details

Address:

RBC WATERPARK PLACE, 88 QUEENS QUAY W:TORONTO

City:

Toronto

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

PERSONAL & COMMERCIAL BANKING

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-04-15

Application Deadline:

2026-06-30

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Our Employment Opportunities

At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

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Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.

Apply Now

Refine Your Search

data engineer lead jobs in toronto on

Lead Data Scientist, Next Best Action

Lead Data and AI Quality Engineer

Change Delivery Lead – TD Securities Data, Delivery, and Integration

Machine Learning Software Engineer Team Lead

Associate Director, Data Development Lead

Lead Data Scientist, Fraud Applied AI & Innovation

Senior Data Strategy & Analytics Lead

Program Manager- Senior Reliability, Maintenance, and Engineering (RME) Planner, NA Planning & BI

BI & Analytics Lead (Energy) -BIAEAS

Lead Python Developer for Quantitative (QuantLib)

Lead Business Analyst I

Marketing Analytics Lead

Research Assistant - Urban Analytics Institute

Business Analyst Lead - Investment Applications

Machine Learning Lead, Edge AI Inferencing

Analytics Client Lead and Development

Technical Lead - Cloud Data Warehouse

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