Jobs in Canada

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Added 8 days ago
CAD Software Engineer, Principal-18736
Synopsys
Ottawa, ON
You are a seasoned Software Architect or ASIC design engineer with a strong affinity for design automation and a deep understanding of the complexities involved in advanced semiconductor…
Added 8 days ago
R
Kubernetes Administrator
Raise
Calgary, AB
- Full-time
…technical support for container orchestration, operating systems, automation, infrastructure services, cybersecurity initiatives, and platform modernization efforts. The role requires close…
Added 8 days ago
SD
Systems Integration Tester
Symbiotic Digital
ON · Downtown Toronto (Kensington Market / Chinatown / Grange Park), Ontario
- Contract
focus on manual testing, with automation testing experience considered
Added 8 days ago
SR
Marketing Data Analyst
Saskatchewan Roughriders
Regina, SK
- Full-time
Proficiency in Microsoft Excel and SQL; experience with R or Python considered an asset
Added 8 days ago
SR
Marketing Data Analyst
Saskatchewan Roughrider Football Club Inc.
Regina, SK
- Full-time
Proficiency in Microsoft Excel and SQL; experience with R or Python considered an asset
Added 8 days ago
RB
Full Stack Engineer
Royal Bank of Canada
Vancouver, BC
- Full-time
Work primarily with .NET stack, however also leveraging Python for scripting and automation use cases
Added 8 days ago
J(
Kubernetes Administrator
JSG (Johnson Service Group, Inc.)
Calgary, AB
- Contract
Johnson Service Group (JSG) is currently looking for an experienced Kubernetes Administrator with strong experience in enterprise Kubernetes platforms, Unix/Linux administration,…
Added 8 days ago
F
Early Careers: Technical Content DevOps Developer
Fortinet
Burnaby, BC
- Full-time
Join Fortinet, a cybersecurity pioneer with more than two decades of excellence, as we continue to shape the future of cybersecurity and redefine the intersection of networking and…
Added 8 days ago
Senior Specialist, Modelling
CMHC - SCHL
Toronto, ON · Ottawa, ON · Montreal, QC · Vancouver, BC · Halifax, NS · Calgary, AB
Proficiency in Python for model development, data analysis and automation; working knowledge of R and/or SAS.
Added 8 days ago
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Full Stack Engineer
RBC
Vancouver, BC
- Full-time
Work primarily with .NET stack, however also leveraging Python for scripting and automation use cases
Added 8 days ago
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Financial Analytics Intern
Building Ontario Fund
Toronto, ON
- Contract
Assist with collecting, cleaning, and analyzing large datasets using Excel, Power BI, Python, or other analytical tools.
Added 8 days ago
Test Manager - API Automation
HEXAWARE
Canada
Must have 3+ years in test automation with deep expertise in Playwright (JS/TypeScript)
Added 8 days ago
C
Sr. Data Test Coordinator, IT Quality Assurance
CIBC
Toronto, ON
- Full-time
You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit
Added 8 days ago
AI
AI Security Engineer
Avanciers Inc.
Toronto, ON
- $100,000 to $110,000 CAD / year
- Contract
Experience with LLMs, AI agents, tool calling, orchestration frameworks, APIs, cloud, containers, and security automation.
Added 8 days ago
GM
Staff Systems Engineering - CoSim Architecture and Virtual Integration
General Motors
Markham, ON
- Full-time
…and stakeholder alignment. The architect will work closely with Simulation Integration Engineers, System and Software Architects, Plant Modeling, CoSim Package/Variant, Pipeline &…
Added 8 days ago
B
Security Architect
Benevity
Remote, Canada
- $30,000 to $250,000 CAD / year
- Full-time
- Remote
Strong scripting and automation skills in Python, PowerShell, or Bash
Added 8 days ago
B
Security Architect
Benevity
Remote, Canada
- Full-time
- Remote
Strong scripting and automation skills in Python, PowerShell, or Bash
Added 8 days ago
S
Python Developer with Django & React Experience
Synechron
Toronto, ON
- $110,000 to $120,000 CAD / year
- Full-time
We are seeking a talented Python Full-Stack Developer with Django & React Experience to join our growing team. In this role, you will be responsible for designing, developing, and…
Added 8 days ago
T
Senior AI/ML Developer – Python | DSPy | LLM | Databricks | MLflow
ThoughtStorm
Toronto, ON
- Contract
Strong hands-on experience with Python programming for AI/ML development, data processing, and automation.
Added 9 days ago
N
Software AI Engineer
neurohire.ai
Remote, Canada
- $80,000 to $100,000 CAD / year
- Full-time
- Remote
Familiarity with machine learning frameworks and libraries such as TensorFlow, PyTorch, or Scikit-learn.
Added 9 days ago
R
Intermediate Business Analyst
Raise
Toronto, ON
- Contract
Must Have Requirement
Added 9 days ago
Data Scientist
Scotiabank
Toronto, ON
The ideal candidate will bring a strong unstructured data analytics skillset with deep analytical expertise, to translate complex data into clear, actionable insights. They will use AI/ML,…
Added 9 days ago
TG
QA Automation Specialist
TMX Group
Toronto, ON
- Full-time
Job Location: Hybrid (2-3 days in office) - based in Toronto, ON · Must Have(s)
Added 9 days ago
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Senior Analyst Data Analytics
BMO
Toronto, ON · FCP
- Full-time
The role is based in Toronto and operates in a hybrid model (3 days in office)
Added 9 days ago
AT
Principal Software Developer (DevOps)
Aspen Technology
Montreal, QC
- Full-time
AspenTech is looking for a talented and experienced Developer to join our Enterprise Operations Platform (EOP) organization. In this role, you will be responsible for building and evolving…

Scotiabank

Data Scientist

Toronto, ON, M5C 2V9, Canada

Apply on jobs.scotiabank.com About employer

Applications open in a new tab.

Job details

Posting language: English
Posted: Nov 6, 2026

Original job description

Requisition ID: 278439

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

Scotiabank is seeking a highly specialized and innovative Data Scientist to join our Customer Insights Data and Analytics team. This role is central to delivering analytics and actionable insights that deepen understanding of client experience and the end-to-end client journey across the bank’s business lines, helping identify opportunities to improve outcomes for both clients and the business.

The ideal candidate will bring a strong unstructured data analytics skillset with deep analytical expertise, to translate complex data into clear, actionable insights. They will use AI/ML, experimentation, visualization, and robust Python skills to solve high-impact business challenges related to client experience and journey performance. Excellent business communication and storytelling skills are a must.

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

The Data Scientist will be a core member of the CID&A team, partnering closely with business lines and stakeholders to identify opportunities where analytics can identify trends within unstructured data, delivering root cause, emerging topics and potential remediation opportunities. You will work with a diverse team of data scientists, data engineers, product partners, and business stakeholders to frame problems, analyze data across multiple touchpoints, and turn findings into scalable recommendations and solutions. You will help uncover drivers of client behaviour, pain points, and moments that matter across the journey, while ensuring the Bank’s risk appetite and risk culture are considered in decision making.

Key Responsibilities

Technical Delivery and Development:

• Develop, test, and implement analytical approaches that uncover meaningful patterns in client behaviour, experience, and journey performance across multiple channels and touchpoints.
• Write and maintain high-quality Python and SQL code to source, prepare, and analyze large volumes of structured and unstructured data, building robust analytical datasets and pipelines.
• Employ modern NLP techniques - including LLMs, prompt engineering, text classification, topic modelling, sentiment analysis, and information extraction.
• Design and apply statistical, machine learning, and exploratory analytical techniques to identify drivers of client satisfaction, friction points in the client journey, and opportunities to improve engagement, retention, and overall experience.
• Create compelling data visualizations, dashboards, and reports that clearly communicate insights, trends, and opportunities related to client experience and client journey performance to business and executive stakeholders.
• Stay up to date on advances in AI, machine learning, experimentation, visualization, and data science best practices. Support research and development focused on applying design thinking and advanced analytical techniques to better understand and improve the client journey.

Collaboration and Strategy:

• Support high-impact analytical use cases across a wide variety of business lines, delivering insights that help improve client experience, remove journey friction, and create value for both customers and the organization.
• Collaborate with key stakeholders and partners to translate business questions and customer experience challenges into scalable analytical approaches, leveraging available data assets and reusable components.
• Understand how the Bank’s risk appetite and risk culture should be considered in decision making related to model development and deployment.
• Collaborate seamlessly with data scientists, data engineers, software engineers, product owners, and business partners to deliver scalable analytics, insight frameworks, and measurement approaches across the bank.

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.
• Demonstrated experience applying AI and machine learning techniques to solve business problems, ideally in areas related to client experience, customer behaviour, journey analytics, or insights generation.
• Direct experience partnering with business stakeholders to frame ambiguous problems, define hypotheses, identify meaningful measures, and translate analytical findings into practical recommendations.
• Practical experience with analytical techniques such as statistical analysis, segmentation, predictive modeling, prompt engineering, and other methods used to understand drivers of client behaviour and experience outcomes.
• Experience with big data tools such as SQL, Hadoop, and Spark.
• Experience applying AI and GenAI capabilities to support analytics, insight generation, automation, or productivity use cases, with an understanding of how these technologies can enhance business decision-making.
• Experience working with cloud-based data and analytics environments, including platforms such as Google Cloud and Microsoft Azure, to support scalable data processing, model development, and deployment.
• Proven ability to ingest, clean, integrate, and analyze large volumes of structured and unstructured data from multiple sources to build a cohesive view of the client journey.
• Experience with DevOps principles and/or software engineering best practices (e.g., Git, continuous integration/delivery, Jira).
• University/Post graduate degree in a relevant STEM discipline (Science, Technology, Engineering, and Mathematics).
• Strong communication skills with the ability to prepare clear project documentation, deliver compelling presentations, and tell a persuasive story with data for a range of audiences.
• Ability to translate technical analysis into tangible business value and recommendations that improve client experience and client journey outcomes, while collaborating effectively across technical and non-technical teams.
• Expert-level proficiency of visualization tools such as Power BI.

What’s in it for you?

• The opportunity to join a forward-thinking company surrounded by a collaborative team of innovative thinkers at the forefront of AI implementation in finance.
• A rewarding career path with diverse opportunities for professional development and internal support to enhance your skills.
• A competitive compensation and benefits package.
• An inclusive and collaborative working environment that encourages creativity, curiosity, and celebrates success!
• An organization committed to making a difference in our communities - for you and our customers.

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 on jobs.scotiabank.com About employer

More about this job

Responsibilities

The Data Scientist will develop and implement analytical approaches to uncover patterns in client behavior and journey performance across multiple channels. They will collaborate with cross-functional teams to translate complex data into actionable insights and scalable recommendations.

Requirements

Candidates must possess expert-level proficiency in Python and experience applying AI/ML techniques to solve business problems. A university or postgraduate degree in a STEM discipline is required, along with strong communication skills and experience with big data tools.

Skills

Python
SQL
Machine learning
NLP
Data visualization
Power BI
Statistical modeling
Prompt engineering
LLMs
Topic modelling
Sentiment analysis
Big data
Hadoop
Spark
Cloud computing
DevOps

Benefits

Competitive compensation
Professional development opportunities
Inclusive working environment

Visa sponsorship

Not detected in the job text

Keywords

Data Scientist
Python
SQL
Machine Learning
NLP
LLMs
Prompt Engineering
Topic Modelling
Sentiment Analysis
Data Visualization
Power BI
Hadoop
Spark
Google Cloud
Microsoft Azure
DevOps
Git
Jira
Client Journey
Predictive Modeling
Statistical Analysis
STEM
Data Engineering
Customer Insights
Analytics
Unstructured Data
Structured Data
Data Pipelines
Artificial Intelligence
Finance

Tools

Python
SQL
Hadoop
Spark
Power BI
Google Cloud
Microsoft Azure
Git
Jira

Languages

English

Fields of study

Science
Technology
Engineering
Mathematics

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Work requirements

Jobs in Canada