Senior Data Scientist

Moneris; Toronto; Hybrid; CAD 90,000 - 120,000; Full time

Job summary

A financial services company in Toronto is looking for a Senior Data Scientist to develop scalable data pipelines, optimize data architecture, and integrate AI systems. The ideal candidate will have over 5 years of experience in data engineering and 3 years in data science, with a strong background in Python, SQL, and cloud platforms. This role offers a hybrid work environment and comprehensive benefits including wellness support and growth opportunities.

Benefits

Flexible benefits from day one

Retirement planning support with company match

Unlimited access to Coursera

Employee & Family Assistance Program

Work from Abroad program

Company-wide recognition programs

Qualifications

• 5+ years of experience in data engineering with structured processes
• 3+ years in data science and/or AI roles
• Experience in Payments/Financial industry is a plus
• 1+ years experience with RAG frameworks and multimodal LLMs

Responsibilities

• Design and maintain scalable data pipelines
• Develop and optimize data models and architectures
• Collaborate with teams for code quality, documentation, and testing
• Evaluate and recommend technologies for data operations

Skills

Python

Data management

Data governance

Data modeling

Communication

Project leadership

SQL

Data visualization

Education

Bachelor's degree in Software Engineering or Computer Science

Tools

Snowflake

Databricks

PowerBI

Azure

AWS

Job description

Your Moneris Career - The Opportunity

We are looking for a Senior Data Scientist to join our team in a role that blends deep data engineering expertise with hands-on support for data science and AI initiatives. While the title reflects a senior data science position, you will be uniquely positioned at the intersection of data engineering and data science/AI, with emphasis on building scalable data pipelines, optimizing data architecture, and enabling the deployment of machine learning models in production.

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

Your Moneris Career - What you'll do

• Design and maintain scalable data pipelines, ensuring robust logging, exception handling, and operational visibility.

• Develop and optimize data models and architectures by analyzing database structures and aligning with our needs

• Collaborate with cross-functional teams to uphold best practices in code quality, documentation, testing, and deployment.

• Ensure data governance and lineage by working with strategy teams to promote data reuse and clarity.

• Evaluate and recommend new technologies to improve data operations, using team context and emerging tools.

• Design and implement AI systems incorporating Retrieval-Augmented Generation (RAG) and multimodal Large Language Models (LLMs) to solve complex challenges.

• Use Databricks and Snowflake to support data analysis and enable the deployment of advanced Data Science and AI solutions.

• Lead the development and deployment of DS/AI models, ensuring production readiness, performance monitoring, and business alignment.

• Partner with developers, data scientists, and business leaders to embed insights into enterprise workflows and drive data-informed decisions.

Your Moneris Career - What you bring

• Bachelor's degree required (master's an asset) in Software Engineering, Computer Science, or equivalent work experience in a Technology or business environment

• Minimum of 5 years of experience working in developing and following structured work processes in data engineering

• Minimum of 3 years of experience in data science and/or AI related position

• Minimum of 5 years of experience coding with Python, other programming languages and coding is considered an asset

• Demonstrated proficiency in Snowflake, DataBricks, Python and SQL

• Experience with Cloud platforms services such as Azure, AWS

• Proficient in data management, governance, data design and database architecture

• Experience manipulating, processing and extracting value from large, disconnected datasets.

• Proficient in data modelling, data integrations, data orchestration, and supporting methodologies.

• Proficient in leading large-scale projects or project steps and communicating progress/approach with technical/non-technical peers/clients and leaders

• Experience in Payments / Financial industry (an asset)

• Build Dashboards and Data Visualizations in PowerBI (an asset)

• Experience working with version control, continuous integration/delivery, automated testing (unit, functional, performance) (an asset)

• Minimum of 1 year of experience with RAG frameworks, multimodal LLMs, and their application in real-world scenarios (an asset)

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

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#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.

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.