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Added 1 day ago
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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 1 day ago
PI
Senior System Administrator
Planitar Inc.
Waterloo, ON
- $94,000 to $115,000 CAD / year
- Full-time
…technology, combining iGuide's deep spatial data expertise with REA’s global scale and innovation…
Added 1 day ago
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Oracle Database Administrator
Soroc Technology
Toronto, ON
- $60 to $65 CAD / hour
- Contract
Proficiency in shell scripting (Bash) and automation using Python.
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Automation and Monitoring Engineer
UST
ON · Ontario, Canada
- Full-time
We are seeking an experienced Automation and Monitoring Engineer to automate application and infrastructure deployments using Terraform and implement monitoring, logging, and dashboards…
Added 1 day ago
HM
Junior Data Analys
Hi Mauritius
Canada
- Full-time
…early-career professionals who are passionate about working with data, identifying trends, and providing insights that support business…
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CI/CD Automation Engineer
UST
ON · Ontario, Canada
- Full-time
Scripting in PowerShell, Bash, or Python for automation.
Added 1 day ago
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Site Reliability Engineer
neurohire.ai
Remote, Canada
- $70,000 to $90,000 CAD / year
- Full-time
- Remote
Develop automation scripts using Python, Bash, or Shell scripting to reduce repetitive operational tasks.
Added 1 day ago
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Software AI Engineer
neurohire.ai
Remote, Canada
- $80,000 to $100,000 CAD / year
- Full-time
- Remote
…learning models, building intelligent features, and working with modern AI technologies. You will collaborate with software developers, data scientists, and cross-functional teams to build…
Added 1 day ago
TC
GenAI Developer
Tata Consultancy Services
Toronto, ON
- $90,000 to $110,000 CAD / year
- Full-time
We are looking for a hands-on GenAI Developer with strong experience in Python, PySpark, Machine Learning, GenAI, RAG, and Agentic AI, along with regulatory reporting platform experience.…
Added 1 day ago
MD
Data Engineer - ITS3 or ITS4
Minnesota Direct Care and Treatment
Saint-Paul, NB · St.-Paul, NB
- Full-time
Hands-on experience with multiple AWS data services (e.g., S3, Glue, Redshift, Athena, RDS, Step Functions, IAM service roles, or Lambda) for data storage, transformation, and automation,…
Added 1 day ago
GS
Business Systems Developer
Grantek Systems Integration
Burlington, ON
- Full-time
Grantek is looking for a Business Systems Developer to design, build, and maintain the internal applications, integrations, and automation workflows that support our global operations. This…
Added 1 day ago
QA Co-op (8‑Month Term – January 4th Start | Final Year Students)
WISI
Pitt Meadows, BC
We’re seeking a local, final-year student with a passion for software development to join our QA team as a Software QA Test Developer (Co-op). You’ll help us achieve full CI/CD test and…
Added 1 day ago
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Marketing Engineer
Celebright
Ottawa, ON · Kanata, Ontario
- Full-time
For years, good marketing ideas were easy and shipping them was hard. Every idea had to survive a brief, a designer, a developer, an analyst and a few meetings, and most never made it out…
Added 1 day ago
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Intermediate Business Analyst
Raise
Toronto, ON
- Contract
Automation & Process Optimization – Design, implement, and optimize automated workflows for payment operations, reconciliation, exception management, and operational controls. Identify…
Added 1 day ago
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Business Systems Developer
Grantek
Burlington, ON
- Full-time
Grantek is looking for a Business Systems Developer to design, build, and maintain the internal applications, integrations, and automation workflows that support our global operations. This…
Added 1 day ago
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Senior Full Stack Software Designer (Java & React)
CGI
Toronto, ON
- Full-time
We are seeking an Expert Full Stack Developer to design, build, and maintain both front end interfaces and back end systems, including APIs, microservices, databases, and cloud deployments.…
Added 1 day 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 1 day ago
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Applied Machine Learning Scientist I
TD
Toronto, ON · Montreal, QC
- Full-time
As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.
Added 1 day ago
TG
QA Automation Specialist
TMX Group
Toronto, ON
- Full-time
We are seeking a QA Automation Specialist to play a pivotal role in modernizing our technology stack to accelerate TSX Trust’s growth and market competitiveness. In this role, you will be…
Added 1 day ago
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Manager, Reporting & Analytics
BMO
Toronto, ON · FCP
- Full-time
Knowledge and experience in data preparation, data analysis, and statistical tool sets including but not limited to SQL, Python, PowerApps and/or UIPath.
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Senior Analyst Data Analytics
BMO
Toronto, ON · FCP
- Full-time
In this role, you'll leverage Python, SQL, data visualization and automation to transform large and complex datasets into actionable intelligence. You'll develop analytics solutions,…
Added 1 day ago
TG
QA Automation Specialist
TMX Group
Toronto, ON
- Full-time
We are seeking a QA Automation Specialist to play a pivotal role in modernizing our technology stack to accelerate TSX Trust’s growth and market competitiveness. In this role, you will be…
Added 1 day 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…
Added 1 day ago
GG
Practice Lead - Offensive Security & Red Teaming
Graystone Group
Canada
- Full-time
Graystone Group is exclusively partnered with an established, publicly traded cybersecurity organization seeking an experienced Practice Lead – Offensive Security & Red Teaming to lead,…
Added 1 day ago
HB
Platform Engineer - $210,000 + bonus! (Fintech)
Hunter Bond
Montreal, QC
- Full-time
A leading global quantitative investment firm, built on research, technology and data. Engineers here work closely with researchers and developers, and the platform they build underpins…

Scotiabank

Data Scientist

Toronto, ON, M5C 2V9, Canada

Apply About employer

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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.

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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

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