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Added 20 days ago
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Senior Data Engineer
Clio
Toronto, ON
- Full-time
Proficiency in at least one major language (e.g. Python, Scala, Ruby) and SQL, striving to write elegant and maintainable code, and comfortability with picking up new technologies
Added 20 days ago
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Senior Data Engineer
Clio
Canada
- Full-time
Proficiency in at least one major language (e.g. Python, Scala, Ruby) and SQL, striving to write elegant and maintainable code, and comfortability with picking up new technologies
Added 20 days ago
C
Senior Data Engineer
Clio
Toronto, ON
- Full-time
Proficiency in at least one major language (e.g. Python, Scala, Ruby) and SQL, striving to write elegant and maintainable code, and comfortability with picking up new technologies
Added 20 days ago
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Senior Actuarial and Data Science Advisor, Modeling & Best Practices
Desjardins
Toronto, ON · Mississauga, ON · Aurora, ON · Montreal, QC · Levis, QC · Calgary, AB
- Full-time
Experience with analytical and programming tools such as Python, R, SAS, SQL, and Microsoft Office
Added 20 days ago
M
Senior DevOps Engineer
Miovision
Remote, Canada
- $130,000 to $170,000 CAD / year
- Full-time
- Remote
…continuous delivery requirements, overall security posture, and developer experience. Before our smart intersection technology can clear the road for emergency vehicles or optimize transit…
Added 21 days ago
Senior Data Scientist
Scotiabank
Toronto, ON
Strong Python and SQL (BigQuery/MySQL‑compatible) expertise for data wrangling, exploratory analysis, and feature engineering using Pandas, Jupyter, and BigQuery.
Added 21 days ago
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Senior Machine Learning Engineer
Autodesk
Toronto, ON · AMER - Canada - Ontario - Toronto - University Ave
- Full-time
Strong programming skills in Python, with the ability to develop modular, testable, maintainable, and production-quality software
Added 21 days ago
A
Senior / Staff Data Engineer (BI) – CEG Team
Agoda
Vancouver, BC
- Full-time
As a Senior/Staff Data Engineer in CEG (Customer Experience Group), you will help design, build, and maintain the data and software foundations that power how CEG Business users serves…
Added 21 days ago
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RQ11622 - Systems Testing/QA Specialist - Senior
Maarut
Toronto, ON
- Contract
Understanding of scripting languages (e.g., Python,
Added 21 days ago
A
Senior / Staff Data Engineer (BI) – CEG Team
Agoda
Montreal, QC
- Full-time
As a Senior/Staff Data Engineer in CEG (Customer Experience Group), you will help design, build, and maintain the data and software foundations that power how CEG Business users serves…
Added 21 days ago
Senior Product Solutions Analyst
Scotiabank
Toronto, ON
Advanced knowledge in Python and SQL and working with large data sets
Added 21 days ago
A
Senior Sales Engineer
Ataccama
Toronto, ON
- Full-time
Proficient in SQL, data pipelines, Databricks/Snowflake, APIs, and preferably programming experience ideally in Python.
Added 21 days ago
LC
Analyst, Business & Customer Insights
Loblaw Companies Limited
Brampton, ON
- Full-time
You will also develop and present materials that effectively communicate insights, simplifying complex information for audiences at all levels, including senior leadership.
Added 21 days ago
GE
Business Analyst
GFL Environmental Inc.
Vaughan, ON
- Full-time
Stakeholder Management: The ability to connect with senior business leaders to understand project priorities and align on success metrics and keep project efforts focused on achieving the…
Added 21 days ago
T
Manager, Analytics and Insights - AI Accelerator
TD
Toronto, ON · Montreal, QC
- Full-time
Under the supervision of the respective Senior Manager, the manager will be involved in the following key activities:
Added 21 days ago
T
Actuarial Analyst III
TD
Toronto, ON · Montreal, QC
- Full-time
Builds stakeholder alignment in leading projects and activities; may provide process and subject matter advice at senior levels
Added 21 days ago
T
Software Engineer I - Development and Quality Engineering
TD
Toronto, ON
- Full-time
Design, develop, unit test, debug, and maintain application components, APIs, database objects, ETL processes, and supporting technical documentation under the guidance of senior engineers.
Added 21 days ago
IS
Senior Data Engineer
Iris Software Inc.
Mississauga, ON
- Contract
5-8 years SQL & Python; cloud data platform experience (Snowflake highly preferred)
Added 21 days ago
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Senior Python Engineer - Data Platforms
Highspring
Montreal, QC
- Full-time
Highspring is seeking a Senior Python Engineer to join a high-performing Data & AI team responsible for building modern data platforms that power advanced analytics and machine learning…
Added 21 days ago
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Infrastructure Architecture - Senior Professional I
Fiserv
Toronto, ON
- Full-time
· Collaborate closely with application and feature development teams to optimize database schemas and SQL queries prior to production releases.
Added 21 days ago
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Data Scientist
Dexian
Mississauga, ON
- $75 to $85 CAD / hour
- Contract
Build dashboards/data applications for senior business stakeholders.
Added 21 days ago
AT
Senior Data Engineer
Arkhya Tech Inc.
Ottawa, ON
- Contract
This position is for a Senior Data engineer with a background in Python, Pyspark, SQL and data warehousing for enterprise level systems
Added 21 days ago
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Business Application Specialist
TD
Toronto, ON
- Full-time
Added 21 days ago
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Senior Data Engineer
Scene+
Toronto, ON
- Full-time
…organization. You will write, debug, and operate production code using Python, SQL, and cloud-native tools, applying rigorous engineering practices including code reviews, branching…
Added 21 days ago
SA
Senior Application Support Engineer (Trading & Market Data)
Solactive AG
Toronto, ON
- Full-time
Execute database changes and optimise SQL queries.

Scotiabank

Senior Data Scientist

Toronto, ON, M5H 1H1, Canada

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Job details

Posting language: English
Posted: Oct 7, 2026

Original job description

Requisition ID: 275751

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

The Role:

The Advanced Analytics & Modeling team is responsible for developing and implementing best-in-class analytics solutions to provide actionable customer-focused insights on business initiatives across the Bank, and for commercializing analytical frameworks and methodologies for use across the organization that highlight opportunities to acquire, grow and retain customers.

Within this department, the Senior Data Scientist is responsible for solving complex business problems, using quantitative approaches with a unique blend of analytical, mathematical and technical skills. The incumbent uses their technical skills to develop advanced analytical assets that will help the Bank achieve its business objectives.

The incumbent will work closely with analytics teams, business lines, data stewarts and other internal stakeholders to drive business value, and recommend solutions to drive customer acquisition, retention, balance growth, cross-sell/up-sell, product activation and usage.The incumbent will require a combination of business focus, strong analytical and problem solving skills and programming knowledge to quickly draw insights from large, disparate data sources to support Bank strategies.

Excellent written and communiation skills are requiried and the Senior Data Scientist will work closely with the Director, Advanced Analytics & Modeling to conduct analytics and report back findings in a clear and structured manner.

Finally, the incumbent is responsible for developing and mentoring a team of senior level analytic staff, and instilling a customer-centric view of analysis within the organization.

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

Collaborate with stakeholders in identifying opportunities for leveraging data and use of ML algorithms to develop innovative solutions and solve complex business problems
Design, develop, and implement end-to-end machine learning production pipelines (data exploration, cleaning, feature engineering, model building, and performance evaluation) and ensure that pipelines are scalable, repeatable, and secure, and can serve multiple users within the company.
Present and depict the rationale of findings in easy to understand terms for the business or senior management.
Support analytical use-case delivery, as well as customer/financial benefits tracking and communication
Apply statistical, analytical and programming skills to analyze and interpret large data sets and communicate results and methodologies to business clients and senior members of the analytics team.
Prepare detailed documentation to outline data sources, models and algorithms used
Leverage distributed computing tools (e.g. Spark, Hadoop) for analysis, data mining and modeling to provide actionable insights to decision makers within the Bank.
Collaborate with Data engineering team to implement and manage MLOps best practices, establishing continuous integration, continuous delivery, and model monitoring pipelines to ensure reliability and performance in production.
Be an integral part of the Advanced Analytics community for incubating ideas and use case acceleration in all business lines through advisory, training and scalable solutions
Stay current on trends in the data science and fin-tech product space, translate those trends into actionable strategic and tactical objectives for the company.
Contribute to a culture of innovation inside and outside of the company as a visionary capable of inspiring through presentation, demonstration and leading by example.
Provide strong leadership and mentoring to junior data scientists and motivate both individual and team performance and foster a commitment to the Bank’s objectives.
Ensure that the Bank has the capabilities and skill sets to compete develop a competitive advantage in analytics over other financial institutions

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

University degree in relevant STEM discipline (Computer Sciences, Electrical/Computer/Software Engineering, Mathematics). Master’s Degree or Ph. D preferred.
Excellent understanding of Machine Learning algorithms for forecasting, predictions, segmentation.
Solid analytical skills. Must be comfortable working with large amounts of information in cloud environment and translating data into clear and concise findings.
Strong communication and interpersonal skills. Boardroom level oral/written communication & presentation skills in a client-facing setting.
Strong Python and SQL (BigQuery/MySQL‑compatible) expertise for data wrangling, exploratory analysis, and feature engineering using Pandas, Jupyter, and BigQuery.
Hands-on experience building and evaluating machine learning models using Scikit‑Learn, XGBoost, Boruta, and BigQuery ML, with exposure to PySpark ML, TensorFlow, and PyTorch.
Proven ability to design end‑to‑end data and ML pipelines on GCP, leveraging Airflow (Composer) for orchestration and dbt for scalable data transformations (models, macros, seeds, Jinja).
Experience with DevOps tools (Git, Azure DevOps, CI/CD, Databricks Workflows, Airflow) and Docker concepts would be an asset
Experience working with Big Data and distributed processing using PySpark, with solid understanding of Spark fundamentals and large‑scale data processing concepts.
Strong background in data visualization and storytelling, using Plotly, Matplotlib, and Seaborn to communicate insights and model results to stakeholders.
Working knowledge of strategy optimization leveraging operations research principles would be an asset. Knowledge of the Bank's products and services an asset.

What's in it for you?

Diversity, Equity, Inclusion & Allyship - We strive to create an inclusive culture where every employee is empowered to reach their fullest potential, respected for who they are, and are embraced through bias-free practices and inclusive values across Scotiabank.
We embrace diversity and provide opportunities for all employees to learn, grow & participate through our various Employee Resource Groups (ERGs) that span across diverse gender identities, ethnicity, race, age, ability & veterans.
Accessibility and Workplace Accommodations - 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. Scotiabank continues to locate, remove and prevent barriers so that we can build a diverse and inclusive environment while meeting accessibility requirements.
Upskilling through online courses, cross-functional development opportunities, and tuition assistance.
Competitive Rewards program including bonus, flexible vacation, personal, sick days and benefits will start on day one.
Community Engagement - no matter where you choose to work from; we offer opportunities for community engagement & belonging with our various programs such as hackathons, contests, Humans of Digital and much more!

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 Senior Data Scientist will develop advanced analytical assets and machine learning pipelines to solve complex business problems and drive customer-focused insights. They are also responsible for mentoring junior staff and collaborating with stakeholders to implement scalable, data-driven solutions across the organization.

Requirements

Candidates must hold a STEM degree, with a Master's or PhD preferred, and possess strong expertise in Python, SQL, and machine learning frameworks. Excellent communication skills and experience with cloud-based big data environments are essential for this role.

Skills

Python
SQL
Machine learning
BigQuery
PySpark
Data modeling
Cloud computing
Data visualization
DevOps
Airflow
Dbt
Statistical analysis
Mentoring
Communication
Problem solving
Leadership

Benefits

Bonus
Flexible vacation
Personal days
Sick days
Tuition assistance
Employee resource groups
Professional development

Visa sponsorship

Not detected in the job text

Keywords

Data Science
Machine Learning
Python
SQL
BigQuery
PySpark
GCP
Airflow
Dbt
DevOps
Docker
Scikit-learn
XGBoost
TensorFlow
PyTorch
Data Wrangling
Feature Engineering
Data Visualization
Plotly
Matplotlib
Seaborn
Operations Research
Fin-tech
Predictive Modeling
Segmentation
Forecasting
Distributed Computing
Hadoop
Spark
MLOps

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