Data Scientist

Aviva Canada; Markham; Hybrid; CAD 80,000 - 120,000; Full time

Benefits offered by this job

Hybrid work model

Health benefits

Retirement savings

Annual bonus

Job summary

Aviva Canada is hiring for a Fraud Data Science role in Markham, Ontario. You will join a team of data scientists and engineers to design, develop, deploy, and maintain ML models that detect fraud while protecting customers and the business.

The role involves transforming large data sets into actionable insights, deploying models to real-time APIs, and collaborating across business partners through the full lifecycle.

Qualifications

• 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.
• 2+ years of experience programming in Python with a solid understanding of software engineering best practices.
• 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.

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.

Skills

Python

SQL

Git

MLOps

Data warehousing

APIs

Communication

Collaboration

Education

MSc in Computer Science, Engineering, Mathematics, Statistics, Physics, or related field

Tools

PostgreSQL

Teradata

Hadoop

AWS

CI/CD

APIs

Job description

Aviva Canada values care, commitment, community, and confidence. We put people first—our employees, our customers, and our communities—while protecting what matters most through a culture of inclusion, collaboration, and mutual growth.

Opportunity

Join a vibrant team of data scientists and engineers in the Fraud Data Science unit, where you will help shape future products and solutions for fraud detection. Your work will involve designing, developing, deploying, and maintaining machine‑learning‑based models that protect customers and the business, and you will collaborate closely with business partners throughout the full development lifecycle.

What You’ll Do

• 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.

What You’ll Bring

• 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.
• 2+ years of experience programming in Python with a solid understanding of software engineering best practices.
• 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.

What Makes You Stand Out

• Experience working with cloud‑based data platforms and technologies such as PostgreSQL, Teradata, Hadoop, and AWS.
• Experience with CI/CD pipelines and modern deployment practices.
• Exposure to fraud, insurance, or highly regulated domains.
• Hands‑on experience building and consuming APIs.
• A creative, curious, and resourceful approach to problem solving.

What You’ll Get

• The salary band for this position ranges from $80,000 to $120,000, with individual compensation based on knowledge, skills, and experience.
• Compelling rewards package including base compensation, eligibility for an annual bonus, retirement savings, share plan, health benefits, personal wellness, and volunteer opportunities.
• Hybrid flexible work model.
• Outstanding career development opportunities.
• Support for your professional development education.
• Competitive vacation package with the option to purchase five additional days off per year.
• Employee‑driven programs focused on gender, LGBTQ+, origins, diversity, and inclusion.
• Corporate wellness programs to support our employees’ physical and mental health.

This job advertisement is for an existing vacancy posted both internally and externally.

Aviva Canada may use AI tools to assist throughout the recruitment process. We welcome applications from all qualified individuals and provide accommodations for persons with disabilities at all stages of the hiring process. If you require an accommodation during the interview or hiring process, please contact your Aviva Talent Acquisition Partner to arrange it.