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Added 1 month ago
Software Development Engineer II, Amazon S3 Metadata
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…general-purpose buckets, making it instantly queryable via standard SQL. Our team tackles the operational challenge of tracking and indexing trillions of objects across sprawling data…
Added 2 months ago
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- Full-time
Expérience avec les bases de données : Microsoft SQL Server et Oracle Database.
Added 1 month ago
C
Coop - AI Developer
CGI
Victoria, BC
- Full-time
We are seeking a Full Stack Developer to join the Emerging Technology Practice team. This role is an excellent opportunity to support a growing portfolio of artificial intelligence…
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C
Software Developer - Java/Mobile
CGI
Vancouver, BC
- Full-time
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Added 4 months ago
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Linux Engineer
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- Full-time
…suitable standards to ensure consistency and interoperability of developer hardware and…
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Professional Senior, Engineering, Data Engineer, Data Analytics
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- Full-time
You have good knowledge of Python & SQL (SQL Server, Oracle, etc.) and software development;
Added 1 month ago
SS
QA / Software Development Co-op (Jan-Dec 2027)
Skyworks Solutions, Inc.
Ottawa, ON
- Full-time
Perform database testing using Microsoft SQL Server, including validating data and database operations.
Added 1 month ago
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Director, Business Insights
Gore Mutual Insurance
Cambridge, ON
- Full-time
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JG
Java Full Stack Software Developer
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Databases (Azure SQL Database, Oracle, PostgreSQL)
Added 1 month ago
CP
Tech Lead | Canada
Cuesta Partners
Remote, Canada
- $140,000 to $275,000 CAD / year
- Full-time
- Remote
Experience with data warehousing solutions, cloud platforms (e.g., AWS, Azure, GCP), and relevant tools (e.g.,SQL, Python, Spark).
Added 1 month ago
Sr. Technical Support Specialist
Open Text Corporation
Waterloo, ON
Proficiency with web servers (Tomcat, IIS) and relational databases (Microsoft SQL Server, Oracle).
Added 1 month ago
Program Manager, Canada Hub Delivery, Canada Hub Delivery
Amazon
Toronto, ON
- Knowledge of Excel (Pivot Tables, VLookUps) at an advanced level and SQL
Added 1 month ago
QF
Senior Manager, Advanced Credit Risk Modelling (Questbank)
Questrade Financial Group
Toronto, ON · North York, ON
- Full-time
Act as the principal hands-on developer to conceptualize, design, and build next-generation ECL, PD, LGD, EAD, and SICR models for secured and unsecured portfolios using modern ML…
Added 1 month ago
PG
Spark Scala Java Developer
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Toronto, ON
- $55 to $60 CAD / hour
- Contract
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Added 1 month ago
PA
CX Intelligence Analyst
Porter Airlines Inc.
Toronto, ON
- Full-time
Use SQL to query and analyze data from available analytical datasets.
Added 1 month ago
IT Business Analyst - Digital Integrations
Imperial Brady
Montreal, QC · Saint-Laurent, QC
Added 1 month ago
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Toronto, ON
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Added 1 month ago
WG
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Wolseley Group
Burlington, ON
- Full-time
…applications in RPG IV, RPG Free, ILE using SEU, SDA, embedded SQL, stored procedures, service programs, modules, binding and activation…
Added 1 month ago
M
Senior Data Scientist
Moneris
Toronto, ON
- Full-time
Work with platform such as Databricks and Snowflake, using Python, PySpark and SQL to conduct advanced data analysis and support model development and deployment.
Added 1 month ago
Lead, Construction Applications
Aecon
Toronto, ON
Added 1 month ago
WC
Senior Programmer Analyst (Burlington, ON)
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Burlington, ON
- Full-time
…applications in RPG IV, RPG Free, ILE using SEU, SDA, embedded SQL, stored procedures, service programs, modules, binding and activation…
Added 1 month ago
Stagiaire en développement de logiciels (été 2027) / Software Developer Intern (Summer 2027)
Tower Research Capital
Montreal, QC
Connaissance de SQL et des bases de données relationnelles;
Added 1 month ago
OR
Business Insights & Analytics Analyst
OSL Retail Services Inc
Mississauga, ON
- Other
Use tools such as SQL, Python, Domo, Power BI, Tableau, and other analytical technologies to explore, analyze, and communicate data
Added 1 month ago
OR
Business Insights & Analytics Manager
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Mississauga, ON
- Other
Strong experience in data analysis, SQL, statistical analysis, forecasting, predictive analytics, and/or advanced analytical techniques

Moneris

Senior Data Scientist

Toronto, ON, Canada

Salary Range: The expected base salary range for this role is $128,000 - $154,000. · Full-time

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Job details

Pay: Salary Range: The expected base salary range for this role is $128,000 - $154,000.
Job type: Full-time
Experience: Minimum of 5 years of experience in data science and machine learning; advanced analytics experience is a PLUS.
Posting language: English
Posted: Sep 17, 2026

Original job description

Your Moneris Career - The Opportunity

As the Senior Data Scientist, you will lead impactful data science initiatives that move strategic decision-making and product innovation. You will focus on developing and deploying advanced analytical models, conducting experimentation, and uncovering applicable insights from complex datasets.

You are a curious and collaborative problem-solver who excels in a fast-paced environment. You will work closely with cross-functional teams - including engineering, product, and analytics - to design and implement scalable machine learning solutions, support business strategy with data-driven insights, and help shape the future of data science at our organization.

You will emphasize data science and AI, focusing on developing, validating, and deploying models to solve complex business problems. A strong foundation in working with data is important, but the primary focus is on analytical rigor, experimentation, and delivering actionable insights.

Location: You will be based in our Toronto office, balancing in-office collaboration with remote flexibility.

Reporting Relationship: You will report to the Manager, Data Science.

Posting Type: Replacement Position.

Salary Range: The expected base salary range for this role is $128,000 - $154,000.

Total compensation may also include variable or discretionary incentive components, including but not limited to bonuses and commissions. Individual job offers are determined by various factors, including experience, education, skills, certifications, and other business needs.

Your Moneris Career - What you'll do

Develop and deploy machine learning models to solve complex business problems, ensuring scalability, performance, and alignment with strategic goals.
Apply statistical and machine learning techniques to extract insights, forecast outcomes, and support decision-making across the organization.
Collaborate with cross-functional teams to uphold best practices in code quality, documentation, testing, and reproducibility.
Explore and implement the latest AI approaches, including Retrieval-Augmented Generation (RAG) and multimodal Large Language Models (LLMs), to address new challenges.
Work with platform such as Databricks and Snowflake, using Python, PySpark and SQL to conduct advanced data analysis and support model development and deployment.
Evaluate new methodologies and technologies to enhance modeling capabilities and stay ahead of industry trends.
Partner with developers, data scientists, and business stakeholders to embed insights into enterprise workflows and lead data-informed decisions.
Demonstrate intellectual curiosity and a desire to understand the data, uncover patterns, and identify opportunities for innovation.
Learn new tools, techniques, and business domains to adapt to evolving priorities and bring high-impact solutions.

Your Moneris Career - What you bring

Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Engineering, or a related field, or equivalent work experience in a technology or business environment.
Minimum of 5 years of experience in data science and machine learning; advanced analytics experience is a PLUS.
Strong programming skills in Python and SQL, with demonstrated experience building and deploying models in production environments.
Hands-on experience with Snowflake and Databricks for data exploration, feature engineering, and model deployment.
Proficient in multiple programming languages and comfortable writing clean, maintainable, and well-documented code. Strong analytical and problem-solving skills, with experience working with complex datasets to uncover insights and drive decisions.
Demonstrated ability to lead data science projects, communicate findings effectively to technical and non-technical audiences, and influence results.
Experience with data governance practices and maintaining high standards of documentation for reproducibility and collaboration.
Fast learner with a deep curiosity about data, eager to explore new techniques and technologies to improve model performance and growth.
Experience in the payments or financial industry is preferred.
Familiar with version control (e.g. Git), CI/CD pipelines, and automated testing (unit, functional, performance) a PLUS.

Your Moneris Career - What you get

At Moneris, we believe in empowering you to succeed - personally and professionally. As part of our team, you'll have access to resources, opportunities, and an inclusive environment that supports your development and career.

Comprehensive Total Rewards Program, including performance-based bonuses, flexible benefits starting from day one, and your choice of a health spending account (HSA) or personal spending account (PSA).
Retirement planning support, with profit-sharing programs including company match and a defined contribution pension plan.
Growth & development opportunities, including unlimited access to Coursera, mentorship programs, and an internal gig marketplace.
Holistic wellness support, with an Employee & Family Assistance Program, 24/7 virtual healthcare, and workplace wellness initiatives.
Flexibility that works for you, including hybrid work arrangements, a Work from Abroad program, and paid time off programs.
Recognition and rewards, with company-wide recognition programs, exclusive banking perks from RBC & BMO, and access to great employee discounts.

Find out more about the work perks and benefits you get as a Moneris employee at Moneris.com/careers.

#TECH-IND

Note: We welcome and encourage applications from Indigenous peoples, people of colour, people with disabilities, people of all genders, sexual orientation and intersectional identities.

AI Disclosure: We may use AI-enabled tools to screen, select, and assess applications. All AI outputs are reviewed and validated by our recruitment team.

We acknowledge that people from equity-deserving groups (including racialized individuals, women, gender diverse individuals, individuals with disabilities, neurodivergent individuals, members of 2SLGBTQIA+ communities and those born outside of Canada) are less likely to apply for jobs unless they feel they meet all the requirements posted. At Moneris, we believe candidates bring experience to their work in many ways. We encourage you to apply and share, in the application form, the transferrable experience you bring, and how this will support your success in this role.

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More about this job

Responsibilities

The Senior Data Scientist will lead data science initiatives by developing and deploying scalable machine learning models to solve complex business problems. They will collaborate with cross-functional teams to extract actionable insights and support strategic decision-making across the organization.

Requirements

Candidates must have a Bachelor's or Master's degree in a quantitative field and a minimum of 5 years of experience in data science and machine learning. Proficiency in Python, SQL, and experience with platforms like Snowflake and Databricks are required.

Skills

Data science
Machine learning
Python
SQL
PySpark
Snowflake
Databricks
Statistical modeling
Retrieval-augmented generation
Large language models
Data analysis
Feature engineering
Git
CI/CD
Data governance
Analytical rigor

Benefits

Performance-based bonuses
Flexible benefits
Health spending account
Personal spending account
Retirement planning support
Profit-sharing programs
Coursera access
Mentorship programs
Internal gig marketplace
Employee & family assistance program
Virtual healthcare
Work from abroad program
Paid time off
Banking perks

Visa sponsorship

Not detected in the job text

Keywords

Data Science
Machine Learning
Python
SQL
PySpark
Snowflake
Databricks
RAG
LLM
Artificial Intelligence
Statistical Modeling
Data Governance
Git
CI/CD
Predictive Analytics
Feature Engineering
Payments Industry
Financial Industry
Data Visualization
Model Deployment
Scalability
Cross-functional Collaboration
Strategic Decision-making
Automation
Unit Testing
Documentation
Reproducibility
Innovation
Analytical Rigor
Experimentation

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