Computer Science jobs in Canada

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.

• Develop and deploy machine learning models using Scikit-learn and XGBoost 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, using tools like Prophet and Statsforecast for time‑series forecasting.

• 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.

• Bachelor's degree required (master's an asset) in Computer Science, Statistics, Mathematics, Engineering 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.

• Experience building dashboards and data visualizations in Power BI a PLUS.

• Familiar with version control (e.g. Git), CI/CD pipelines, and automated testing (unit, functional, performance) a PLUS.

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.