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Aviva Canada Tech Stack

Property and casualty insurer serving 2.5M Canadians across home, auto, and business coverage

Insurance Markham, Ontario 1,001–5,000 employees Founded 1835 Public Company
aviva.ca LinkedIn

Aviva Canada operates a data-heavy insurance platform anchored in Snowflake, Databricks, and AWS, with active machine-learning work in fraud detection, pricing models, and claims automation. The hiring mix—operations-dominant (34 roles) with smaller engineering (10) and data (5) teams—reflects a maturing insurer moving toward AI-driven underwriting and claims efficiency rather than platform-first development. Active projects in generative AI services and claims process improvement signal a pivot toward automation in high-cost claims handling.

Tech Stack 76 technologies

Core StackSnowflake Databricks AWS Python LangChain Snowflake Cortex SAS Figma React Native Salesforce Pandas NumPy scikit-learn Jenkins Docker MLflow Apache Airflow Apache Spark Snowpark Azure GCP LlamaIndex VBA Microsoft Access Oracle Fusion Oracle Integration Cloud Adobe XGBoost Xactimate Qlik+40 more

What Aviva Canada Is Building

◆Challenges

  • Reducing inefficiency
  • Managing large complex losses
  • Complex claims
  • Mitigating risk
  • Fraud detection
  • Loss mitigation strategies
  • Maintaining portfolio profitability
  • Controlling indemnity spend
  • Improving customer journey
  • Customer downtime

▲Active Projects

  • Development of new paint processes
  • Shaping autobody shop of the future
  • Enterprise generative ai services and knowledge copilots
  • Model performance monitoring
  • Data science initiative support
  • Pricing model development
  • Support litigation and dispute resolution strategy
  • Special projects to improve claims management processes
  • Fraud detection initiative
  • Enterprise initiatives implementation

Hiring Activity

Accelerating110 roles · 70 in 30d

Department

Ops
34
Claims
12
Engineering
10
Finance
9
Insurance
8
Support
8
Data
5
Healthcare
3

Seniority

Senior
58
Mid
28
Junior
12
Lead
4
VP
3
Manager
2
Principal
1
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About Aviva Canada

Aviva Canada is a leading property and casualty insurance group in Canada, providing home, automobile, lifestyle, and business insurance to 2.5 million customers. A subsidiary of UK-based Aviva plc (operating since 1835), the company maintains headquarters in Markham, Ontario and employs 1,001–5,000 people across the country. The operation spans underwriting, claims processing, fraud detection, and customer service, with technical infrastructure built on Snowflake, Databricks, and cloud platforms (AWS, Azure, GCP). Current priorities include reducing claims processing inefficiency, improving fraud detection, managing complex loss scenarios, and deploying generative AI services for internal knowledge and customer interaction.

HeadquartersMarkham, Ontario
Company Size1,001–5,000 employees
Founded1835
Hiring MarketsCanada

Frequently Asked Questions

What tech stack does Aviva Canada use?

Aviva Canada's primary stack includes Snowflake, Databricks, AWS, Azure, and GCP for cloud infrastructure; Python, Pandas, NumPy, and scikit-learn for data science; Salesforce for CRM; Qlik for analytics; and Jenkins, Docker, and Apache Airflow for orchestration. Oracle Fusion handles ERP, and LangChain/LlamaIndex support generative AI initiatives.

What is Aviva Canada working on?

Current projects include enterprise generative AI services and knowledge copilots, fraud detection initiatives, pricing model development, claims process improvement, model performance monitoring, and shaping the autobody shop of the future. Pain points driving these initiatives include reducing claims inefficiency, managing complex losses, and controlling indemnity spend.

How this profile is built

Aviva Canada's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.