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Added 22 days ago
LE
BI Developer - 1 Year Contract
LG Electronics
Toronto, ON
- Contract
As a Business Intelligence Developer, you will play a vital role in our data-driven strategy by leveraging your expertise in Microsoft SQL Server, ETL (SSIS), data engineering, data…
Added 22 days ago
SC
Senior Analyst - Pricing Strategy
Staples Canada
Richmond Hill, ON
- Full-time
…business value. The pricing analyst will work collaboratively with vendors, merchandising, data engineering, and data science teams to support development of strategies and pricing…
Added 22 days ago
AM
Fuse Validation Lead
Advanced Micro Devices, Inc
Markham, ON
- Full-time
Experience with scripting languages such as Python, Perl, or Tcl.
Added 22 days ago
EC
Développeur(euse) Full Stack Sénior / Senior Full Stack Developer
Eaton Corporation
Brossard, QC
- Full-time
Eaton’s CYME International T&D is a world-class Power Engineering Solutions provider with an established reputation for customer responsiveness and technical expertise. Our solutions stand…
Added 22 days ago
C
Coop - AI Developer
CGI
Victoria, BC
- Full-time
Experience with Python, R, and/or C#, and familiarity with all stages of the SDLC lifecycle
Added 22 days ago
B
Professional Senior, Engineering, Data Engineer, Data Analytics
Bombardier
Dorval, QC
- Full-time
You have good knowledge of Python & SQL (SQL Server, Oracle, etc.) and software development;
Added 22 days ago
SS
QA / Software Development Co-op (Jan-Dec 2027)
Skyworks Solutions, Inc.
Ottawa, ON
- Full-time
At Skyworks, you will find a fast-paced environment with a strong focus on global collaboration, minimal layers of management, and the freedom to make meaningful contributions in a setting…
Added 22 days ago
GM
Director, Business Insights
Gore Mutual Insurance
Cambridge, ON
- Full-time
…Western Canada. During 2026, Gore will combine its operations with Unica Insurance, Beneva’s Ontario-based subsidiary specializing in niche commercial and personal insurance, creating a…
Added 23 days 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 22 days ago
QF
Senior Manager, Advanced Credit Risk Modelling (Questbank)
Questrade Financial Group
Toronto, ON · North York, ON
- Full-time
Excellent programming skills (Python, SQL, PySpark) and proficiency with development tools (Git, GitLab, VS Code).
Added 22 days ago
Manager, Marketing Analytics
OpenTable
Toronto, ON
Hands-on experience with statistical programming languages such as Python or R.
Added 23 days 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 22 days ago
ZG
Full Stack Engineer
Zapcom Group Inc
Toronto, ON
- $90,000 to $110,000 CAD / year
- Full-time
Backend development using Java, Spring Boot or Python (Django/Fast API/Flask)
Added 22 days ago
Stagiaire en développement de logiciels (été 2027) / Software Developer Intern (Summer 2027)
Tower Research Capital
Montreal, QC
Connaissance des langages de développement (y compris C++, Golang, Java, Python ou Rust);
Added 23 days 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 23 days ago
OR
Business Insights & Analytics Manager
OSL Retail Services Inc
Mississauga, ON
- Other
Experience with analytical and visualization technologies such as SQL, Python, Domo, Power BI, Tableau, R, or similar platforms
Added 23 days ago
PV
Supply Chain BI Solutions Analyst
Pet Valu
Markham, ON
- Full-time
Familiarity with Blue Yonder (JDA) and data mining applications (Tableau, Power BI, Excel, IBM Cognos) and languages (SQL, R, Python, VBA, DAX) and other basic coding languages.
Added 22 days ago
PV
Supply Chain BI Solutions Analyst
Pet Valu
Markham, ON
- Full-time
Familiarity with Blue Yonder (JDA) and data mining applications (Tableau, Power BI, Excel, IBM Cognos) and languages (SQL, R, Python, VBA, DAX) and other basic coding languages.
Added 22 days ago
NB
Student Intern
National Bank of Canada
Richmond Hill, ON
- Full-time
Solid programming skills (i.e. SAS, SQL, Python, VBA, R, Matlab, etc.).
Added 22 days ago
EI
Manager - Marketing Analytics
Enercare Inc.
Markham, ON
- Full-time
…frameworks, and actionable insights. The position partners closely with business and technical stakeholders to modernize analytics capabilities, improve data governance, and deliver…
Added 22 days ago
J
Data Analyst - Portfolio Performance & Optimization
Jule
Toronto, ON
- Full-time
Use SQL and Python to extract, clean, validate, and combine raw charging, diagnostic, energy, payment, and financial data into structured inputs for reports and models.
Added 22 days ago
AW
Senior Data Engineer, Temporary
Aviso Wealth
Remote, Canada
- Temporary
- Remote
Implement modern data and analytics practices using tools such as Databricks, Snowflake, Salesforce, Python, and SQL
Added 22 days ago
AW
Senior Data Engineer, Temporary
Aviso Wealth
Remote, Canada
- Temporary
- Remote
Implement modern data and analytics practices using tools such as Databricks, Snowflake, Salesforce, Python, and SQL
Added 23 days ago
A
AVP Quantitative Analysis - New Markets
Athene
Toronto, ON · Royal Bank Plaza North Tower
- Full-time
Advanced proficiency in Python and SQL for quantitative analysis, data extraction, and transformation, with experience using relevant financial, statistical, and analytical tools such as…
Added 22 days ago
Director, Data Science
Gore Mutual Insurance
Cambridge, ON · Toronto, ON
…agentic workflows, and, when required, hands-on proficiency in SQL/Python programming, visualization methods and technologies, and data engineering /…

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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