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About the Role

Join an exciting team of data scientists and engineers at the forefront of using data to drive decisions at every level of our organization. As a Data Scientist on the Fraud Data Science team, you’ll work closely with a wide range of business partners and help shape future products and solutions. You’ll contribute to high-impact initiatives focused on fraud detection, using machine-learning-based solutions to protect customers and the business. You’ll be involved across the full development lifecycle, from idea generation and experimentation through deployment, monitoring, and ongoing support. Your work will include building and deploying data pipelines, machine learning, and statistical models used in real-world applications at scale.

Responsibilities

• Design, develop, test, and deploy scalable, production-ready code and machine learning models.
• Transform large, complex datasets into actionable insights, recommendations, and data-driven decisions.
• Develop innovative approaches to pattern recognition using machine learning, statistical, and analytical techniques.
• Design and deploy models to real-time APIs, ensuring reliability, performance, and scalability.
• Communicate insights and model outcomes clearly to both technical and non-technical audiences.
• Maintain, enhance, and optimize existing codebases and data pipelines.
• Drive delivery accountability for both project-based initiatives and BAU work, aligned to agreed timelines and priorities.
• Ensure solutions conform to IT and Enterprise Architecture standards where applicable.

Requirements

• MSc in Computer Science, Engineering, Mathematics, Statistics, Physics, or a related field (PhD preferred).
• 2+ years of experience across the end-to-end model development lifecycle, working with large and complex datasets (industry or academic/post-doctoral experience considered).
• 2+ years of experience programming in Python, with a solid understanding of software engineering best practices (modularity, code reusability, version control, repositories).
• Proficiency in SQL and Git, with hands-on experience collaborating in shared codebases.
• Experience productionizing machine learning models, including monitoring, maintenance, and MLOps practices.
• Familiarity with data warehouse concepts, ETL strategies and data engineering best practices.
• A strong track record of building robust, maintainable, high-quality code.
• Ability to operate optimally in a data-driven software engineering environment and translate data into business value.
• Strong communication and collaboration skills, with the ability to work across disciplines.

Skills

• Python
• SQL
• Git
• Machine Learning
• Statistical Modeling
• Data Pipelines
• MLOps
• Data Warehousing
• ETL
• APIs

Location

• Hybrid

Work Type

• Hybrid flexible work model

Experience Level

• 2+ years

Education Level

• MSc
• PhD

Salary/Compensations

• $80,000 to $120,000

Benefits

• Eligibility for annual bonus
• Retirement savings
• Share plan
• Health benefits
• Personal wellness
• Volunteer opportunities
• Outstanding career development opportunities
• Professional development education support
• Competitive vacation package with the option to purchase 5 extra days off per year
• Employee-driven programs focused on gender, LGBTQ+, origins, diversity, and inclusion
• Corporate wellness programs

About the Company

• Aviva Together, we are Aviva. Our values — Care, Commitment, Community, and Confidence — guide how we show up for each other and for our customers. Individually, they’re words. Together, they define who we are. At Aviva Canada, we put people first, our employees, our customers, and our communities. We’re proud of a culture built on care, inclusion, and collaboration, where your voice matters and your growth is supported. We’re not just about insurance; we’re about making a real difference by protecting what matters most.
• We help our 19.5 million customers to save for the future and manage the risks of everyday life. To give these customers the best possible products and service we know we must make Aviva the most attractive choice for talented, entrepreneurial people with diverse backgrounds and an evolving range of expertise and insight. So, we’re passionate about helping our 23,000 people to do the best work of their lives, to enable them to make a positive difference to the lives of our customers.

Equal Opportunity

• Aviva Canada welcomes applications from all qualified individuals and has a process in place to provide accommodations for persons with disabilities at all stages of the hiring process and during employment. If you require an accommodation during the interview or hiring process, please contact your Aviva Talent Acquisition Partner so that an appropriate accommodation can be arranged.