Find work in Canada.

331,510 jobs across our Canadian network. How we count

Jobs in Canada

25+ jobs

Email me new jobs Save this search

Added 1 hour ago
(CAN) Software Developer II (CA)
Walmart Canada
Mississauga, ON
Full-time
Advanced Python and Spark skills with 3+ years of experience
Added 2 hours ago
Senior Data Engineer
HOOPP (Healthcare of Ontario Pension Plan)
Toronto, ON
$103,000 to $153,000 CAD / year
Full-time
Strong SQL and Python, with experience building distributed data processing at scale (Spark preferred).
Added 2 hours ago
Director, Data Engineering, International Banking, Toronto, Mexico, Colombia, Peru
Scotiabank
Toronto, ON
Deep hands-on knowledge of Azure Databricks, Spark, Delta Lake, Databricks Workflows/Jobs, workspace administration, cluster policies, runtime management, and integration with Azur
Added 3 hours ago
Quality Engineer
Robinhood
Toronto, ON
At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to…
Added 3 hours ago
Senior Manager, Engineer & Build
RBC
Toronto, ON
Full-time
Technology focus: Snowflake, Spark, dbt, Airflow, Python/Scala/Java, OpenShift/Kubernetes, and public cloud (e.g., AWS).
Added 4 hours ago
Data Engineer (Early Career) (Canada)
Jobright.ai
Canada
Full-time
Strong proficiency in Python and SQL, with hands-on experience writing and debugging data transformation logic
Added 5 hours ago
Data Fabric Lead/Architect( Fabric experience is must to have)
Aaura Softwares
Canada
Contract
Advanced SQL, solid Python, Spark tuning, Git-based CI/CD.
Added 21 hours ago
Senior Machine Learning Engineer
Fusemachines
Remote, Canada
Contract · Remote
…(terabytes/petabytes of bidstream and user event data) using SQL, Python, and distributed computing frameworks (e.g., Spark,…
Added 21 hours ago
Senior Data Engineer
Ledcor
Vancouver, BC
Full-time
Design, build, and maintain production-grade data pipelines using PySpark and Databricks Spark Declarative Pipelines (SDP), including Python and SQL transformations across medallion…
Added 22 hours ago
Senior Data Engineer - Toronto
Trisura
Toronto, ON
Full-time
Develop robust, reusable ETL/ELT and data transformation solutions using T-SQL, Python, PySpark, and Spark SQL, including incremental loading, Change Data Capture (CDC), schema evolution,…
Added 22 hours ago
Sr Java Developer--CHODC5892126
Compunnel Inc.
Montreal, QC
$65 USD / hour
Contract
Experience with distributed data processing pipelines using Apache Spark, Python, and other tools and languages
Added 22 hours ago
Data Scientist, AI & Machine Learning
Scotiabank
Toronto, ON
…strategy, using cutting-edge Gemini prompting techniques and robust Python coding to solve high-impact business challenges. Success in this role requires strong communication,…
Added 23 hours ago
Data Engineer (Early Career) (Canada)
Jobright.ai
Canada
Full-time
Strong proficiency in Python and SQL, with hands-on experience writing and debugging data transformation logic
Added 23 hours ago
Principal Data Engineer
Xplore Inc
Markham, ON
Full-time
Expert hands-on skills with modern data lakehouse and distributed compute platforms (e.g., Spark-based ecosystems, cloud-native storage, streaming frameworks).
Added 23 hours ago
Senior Data Engineer
National Bank of Canada
Montreal, QC
Full-time
Proficiency in at least one of the following data languages or technologies: SQL, Python, Spark or SAS
Added 23 hours ago
Python/Spark Developer
Collabera
Toronto, ON · Greater Toronto Area, Canada
$70 to $75 CAD / hour
Contract
We are seeking an experienced Python/Spark Developer with strong expertise in building enterprise-grade backend applications and large-scale data processing solutions within the financial…
Added 1 day ago
Data Science Developer
Transit
Montreal, QC
$90,000 to $125,000 CAD / year
Full-time
…data by riders and agencies alike. We’re looking for a senior developer who can bring a mix of analytical rigour and a 1000W creative spark to show us whole new possibilities of what can be…
Added 1 day ago
Data Engineer, Early Career - 2026 (CAN)
Amazon
Toronto, ON
Full-time
Experience with one or more scripting language (e.g., Python, KornShell)
Added 1 day ago
Staff / Lead Data Engineer - Bidding (Bangkok based, relocation provided)
Agoda
Toronto, ON
Full-time
Be comfortable navigating the following technology stack: Python3, Scala Spark, Hadoop, SQL, S3 etc.
Added 1 day ago
Senior Software Engineer
Zodiac Solutions, Inc
Montreal, QC
Full-time
Job Description – Core java, Apache Spark, Python
Added 1 day ago
Senior Data Engineer - Toronto
Trisura Guarantee Insurance Company
Toronto, ON
Develop robust, reusable ETL/ELT and data transformation solutions using T-SQL, Python, PySpark, and Spark SQL, including incremental loading, Change Data Capture (CDC), schema evolution,…
Added 1 day ago
Senior/Lead Azure Cloud Data Engineer
Nityo Infotech
Toronto, ON
Contract
Optimize Spark jobs for performance, scalability, and cost efficiency.
Added 1 day ago
Principal Engineer - GTB Data and Platforms
TD
Toronto, ON
Full-time
Strong hands-on development experience in modern programming languages such as Java and Python
Added 1 day ago
Big Data Developer
Pacer Group
Mississauga, ON
$125,000 to $130,000 CAD / year
Contract
Develop and maintain scalable data pipelines using PySpark and Spark SQL for large datasets.
Added 1 day ago
Principal Engineer - GTB Data and Platforms
TD
Toronto, ON
Full-time
Strong hands-on development experience in modern programming languages such as Java and Python

Scotiabank

Data Scientist, AI & Machine Learning

Toronto, ON, M5H 1H1, Canada

Posting language: English
Posted: Sep 24, 2026

Apply About employer

Applications open in a new tab.

Original job description

Requisition ID: 274714

Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

Overview

Scotiabank is seeking a highly specialized and innovative Data Scientist to join our Global Artificial Intelligence and Machine Learning team. This role is central to building and deploying next-generation AI/ML products across the bank’s business lines, focusing specifically on leveraging advanced Large Language Models (LLMs) to transform how we process, understand, and extract value from complex, unstructured documents. The ideal candidate will be an integral part of the organization’s AI/ML strategy, using cutting-edge Gemini prompting techniques and robust Python coding to solve high-impact business challenges. Success in this role requires strong communication, collaboration, and stakeholder engagement skills, as you will frequently partner with business leaders, technical teams, and cross-functional stakeholders across the bank.

Is this role right for you? In this role, you will:

The Data Scientist will be a core member of the Global AI/ML team, focused on creating value for both the bank and its customers through AI-driven products. You will work closely with a diverse team of data scientists, data engineers, AI/ML product managers, and software developers to understand business partner challenges and processes, turning those insights into scalable, working solutions. You will have direct exposure to production models and will be responsible for designing and delivering new, high-impact AI/ML solutions while considering the Bank’s risk appetite and risk culture in all decision-making.

Technical Delivery and Development

Develop, test, and implement highly effective models optimized for specific document understanding tasks (e.g., data extraction, classification).
Write and maintain high-quality Python code to preprocess, process, and analyze large volumes of structured and unstructured documents, building robust data pipelines.
Design, build, and rigorously evaluate specialized machine learning models for document understanding, ensuring accuracy, fairness, and scalability.
Collaborate with Data Engineers and Software Developers to develop and deploy document understanding solutions efficiently and reliably into production environments.
Stay up to date on the latest advances in generative AI, Python coding libraries, machine learning best practices, and the field of Document AI.
Support Research & Development initiatives focused on applying design thinking and advanced AI/ML techniques to solve business challenges.

Collaboration and Strategy

Support high-impact analytical use cases across a diverse set of business lines, delivering AI/ML products that create value for both customers and the organization.
Collaborate with key stakeholders and partners to define, promote, and enforce machine learning and artificial intelligence best practices across the organization.
Understand how the Bank’s risk appetite and risk culture should be considered in decision-making related to model development and deployment.
Work seamlessly with Data Scientists, Data Engineers, Software Engineers, and AI/ML Product Managers to implement scalable AI/ML solutions across the bank.
Communicate project progress, technical concepts, and business value clearly to both technical and non-technical stakeholders.

Do you have the skills that will enable you to succeed in this role? We'd love to work with you if you have:

Expert-level proficiency in Python for data manipulation, statistical modeling, and pipeline development.
Proven, hands-on experience designing and optimizing prompts for advanced Large Language Models (specifically Gemini or comparable LLMs) tailored for structured document analysis.
Direct experience with document understanding tasks, including working with unstructured text, OCR output, and information extraction from complex forms, records, or contracts.
Practical experience with ML/AI techniques, including supervised learning, unsupervised learning, deep learning, and Natural Language Processing (NLP).
Experience with big data tools and technologies such as SQL, Hadoop, and Spark.
Proven ability to ingest, clean, and work effectively with large volumes of structured and unstructured data.
Experience with DevOps principles and software engineering best practices, including Git, CI/CD pipelines, and Agile delivery methodologies.
University degree or postgraduate degree in a STEM discipline (Science, Technology, Engineering, Mathematics, Statistics, Computer Science, or a related field).
Effective communication skills with the ability to prepare clear project documentation and deliver compelling presentations.
Ability to translate complex technical concepts into tangible business value and collaborate effectively across technical and non-technical teams.
Working knowledge of visualization and reporting tools such as Power BI.
Strong communication and stakeholder management skills, with the ability to clearly articulate complex technical concepts to both technical and non-technical audiences and build effective working relationships across the organization.

Location(s): Canada : Ontario : Toronto

Scotiabank is a leading bank in the Americas. Guided by our purpose: "for every future", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

Apply About employer

More about this job

Responsibilities

The Data Scientist will develop and deploy advanced AI/ML products, specifically leveraging Large Language Models to process and extract value from complex unstructured documents. They will collaborate with cross-functional teams to implement scalable solutions while adhering to the bank's risk management standards.

Requirements

Candidates must possess expert-level proficiency in Python and hands-on experience with LLMs like Gemini for document analysis. A university or postgraduate degree in a STEM discipline is required, along with strong communication skills and experience in big data technologies.

Skills

Python
Large Language Models
Gemini
Machine Learning
Natural Language Processing
Document AI
Data Extraction
SQL
Hadoop
Spark
DevOps
CI/CD
Agile
Power BI
Statistical Modeling
Deep Learning

Visa sponsorship

Not detected in the job text

Keywords

Data Scientist
Artificial Intelligence
Machine Learning
Large Language Models
Gemini
Python
Document AI
OCR
Information Extraction
Supervised Learning
Unsupervised Learning
Deep Learning
NLP
SQL
Hadoop
Spark
DevOps
Git
CI/CD
Agile
STEM
Power BI
Data Pipelines
Statistical Modeling
Risk Management
Stakeholder Management
Generative AI
Data Manipulation
Software Engineering
Analytical Use Cases

Report this job