Aviva Canada
insurance
DataScientist
Neural analysis suggests this role is
optimal for Mid candidates.
“Data Scientist at Aviva Canada. Skills: machine learning models, statistical models, data pipelines, Python, SQL. 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”
What You'll Achieve.
using data to drive decisions at every level of our organization; protect customers and the business; translate data into business value
Industry & Context.
Develop innovative approaches to pattern recognition; A creative, curious, and resourceful approach to problem solving
What They're Looking For.
Must Have
MSc in Computer Science, Engineering, Mathematics, Statistics, Physics, or a related field, 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, solid understanding of software engineering best practices (modularity, code reusability, version control, repositories), Proficiency in SQL, Proficiency in Git, hands‑on experience collaborating in shared codebases, Experience productionizing machine learning models, including monitoring, maintenance, and MLOps practices, Familiarity with data warehouse concepts, Familiarity with ETL strategies, Familiarity with data engineering best practices, A track record of building robust, maintainable, high‑quality code, Ability to operate optimally in a data‑driven software engineering environment, Ability to translate data into business value, communication and collaboration skills, ability to work across disciplines
Nice to Have
PhD preferred, Experience working with cloud‑based data platforms and technologies such as PostgreSQL, Teradata, Hadoop, and AWS, Experience with CI/CD pipelines, Experience with 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 Do.
production‑ready code and machine learning models
complex datasets into actionable insights
and data‑driven decisions
Develop innovative approaches to pattern recognition using machine learning
and analytical techniques
Design and deploy models to real‑time APIs
Communicate insights and model outcomes clearly to both technical and non‑technical audiences
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
How You'll Work.
Team & Collaboration
work closely with a wide range of business partners; work across disciplines
Communication Scope
Communicate insights and model outcomes clearly to both technical and non‑technical audiences; communication and collaboration skills
Process & Methodology
Drive delivery accountability for both project‑based initiatives and BAU work, aligned to agreed timelines and priorities
Full Job Description
## **Experience 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. ## **The Opportunity** Join an exciting team of data scientists and engineers at the forefront of using data to drive decisions at every level of our organization. The insurance industry is undergoing a transformation and you get to be in the driver’s seat of this data-driven, technology revolution. 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. The team’s models are already running in production, and you’ll help expand and evolve these capabilities as part of our ongoing InsurTech transformation. ## **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 re
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