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4,518

Python jobs in Canada

Data Scientist – Center of Excellence (CoE), Personal Lines Pricing

Aviva

Toronto
Hybrid
CAD 80,000 - 110,000
8 days ago
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Platform Operations & Connectivity Specialist

Interac

Toronto
On-site
CAD 80,000 - 100,000
8 days ago

Platform Services, Specialist

Interac

Toronto
On-site
CAD 80,000 - 100,000
8 days ago

Senior Cybersecurity Analyst

Precision Drilling

Calgary
On-site
CAD 80,000 - 100,000
8 days ago

Solutions Architect

Kepler Communications

Canada
On-site
CAD 80,000 - 120,000
8 days ago
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Research Assistant 1

McGill University

Edmonton
On-site
CAD 30,000 - 60,000
8 days ago

Ai engineer

BMO Financial Group

Toronto
On-site
CAD 67,000 - 125,000
8 days ago

Junior AI Engineer - API & AWS Solutions

BMO Financial Group

Toronto
On-site
CAD 67,000 - 125,000
8 days ago
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Pricing Data Scientist, CoE – Personal Lines (Hybrid)

Aviva

Markham
Hybrid
CAD 75,000 - 95,000
8 days ago

Data Scientist – Center of Excellence (CoE), Personal Lines Pricing

Aviva

Markham
Hybrid
CAD 75,000 - 95,000
8 days ago

Engineering Application Support Specialist

Thales

Ottawa
On-site
CAD 68,000 - 115,000
8 days ago

Montreal Data Processing & Template Automation Specialist

UNESCO

Montreal
On-site
CAD 80,000 - 100,000
8 days ago

Data Processing and Template Automation Consultant

UNESCO

Montreal
On-site
CAD 80,000 - 100,000
8 days ago

AI Application Developer

Ciena

Ottawa
Remote
CAD 93,000 - 151,000
8 days ago

Data Scientist, Data valorization

Desjardins Group

Montreal
Hybrid
CAD 100,000 - 125,000
8 days ago

Senior Embedded Software Developer

General Motors of Canada

Markham
Hybrid
CAD 90,000 - 120,000
8 days ago

Lead

Alberta Health Services

Calgary
Hybrid
CAD 60,000 - 80,000
8 days ago

Middleware Engineer III - Daily

Mindlance

Montreal
On-site
CAD 80,000 - 105,000
8 days ago

Founding AI Engineer – Healthcare SaaS (Toronto)

Paxos Appeals

Toronto
Hybrid
CAD 80,000 - 100,000
8 days ago

Senior GenAI Data Scientist (Hybrid Role)

Manulife

Toronto
Hybrid
CAD 124,000 - 175,000
8 days ago

AI Red Team Engineer - French Canadian

Lilt

Canada
Remote
CAD 80,000 - 100,000
8 days ago

Senior Data Engineering Consultant

Intello Technologies Inc.

Toronto
Hybrid
CAD 104,000 - 156,000
8 days ago

Research Engineer

Deloitte Canada

Toronto
Hybrid
CAD 72,000 - 138,000
8 days ago

Principal Software Engineer

PointClickCare

Mississauga
Hybrid
CAD 156,000 - 174,000
8 days ago

Associate Director, Risk Based Quality Management

AstraZeneca

Mississauga
On-site
CAD 120,000 - 150,000
8 days ago

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Data Scientist – Center of Excellence (CoE), Personal Lines Pricing
Aviva
Toronto
Hybrid
CAD 80,000 - 110,000
Full time
8 days ago

Job summary

A leading insurance company in Toronto seeks a Data Scientist for the Personal Lines Pricing team. This role involves transforming data into actionable insights for pricing strategies and requires a degree in a related field and experience in model development. Proficiency in Python and strong analytical skills are essential. The position offers a hybrid work model, competitive compensation, and extensive career development opportunities. Candidates must also be proficient in both French and English.

Benefits

Base compensation including annual bonus
Health benefits
Career development opportunities
Flexible work model
Competitive vacation package

Qualifications

  • Minimum of 3 years of experience in model development with large datasets.
  • Experience with MLOps and deploying models into production.
  • Familiarity with cloud platforms and CI/CD tools.

Responsibilities

  • Transform complex datasets into actionable insights for pricing strategies.
  • Participate in all phases of the MLOps pricing model lifecycle.
  • Collaborate with partners to enhance pricing solutions based on models.

Skills

Proficiency in Python
Strong analytical skills
Excellent communication skills
Collaborative mindset
Proficiency in both French and English

Education

University degree in data science or related field
Master’s degree (asset)
Job description
Experience Aviva

Individually we are people, but together we are Aviva. Individually these are just words, but together they are our Values – Care, Commitment, Community, and Confidence.

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 a passionate team of data scientists, actuaries, and engineers. Data analysis is essential for decision‑making at every level of our organization. The insurance industry is undergoing major changes, and you have the chance to be at the forefront of this data‑driven technological revolution.

Aviva is building strong expertise in data science, and our team, Personal Lines Pricing – Center of Excellence (CoE), is at the heart of it. If you are passionate about using data science to tackle tomorrow’s challenges and want to work in a collaborative, forward‑thinking environment, this role is for you.

What You’ll Do
  • Transform complex datasets into actionable insights and recommendations to support pricing strategies.
  • Participate in all phases of the MLOps pricing model lifecycle: data preparation, model development, implementation, and performance monitoring.
  • Collaborate with business and engineering partners to enhance pricing solutions based on models and technical platforms.
  • Contribute to the development and maintenance of data exploration tools and systems.
  • Communicate model results and findings effectively to both technical and non‑technical stakeholders.
  • Support innovation and continuous improvement in our data science practices.
What You’ll Bring
  • University degree in data science, actuarial mathematics, computer science, engineering, mathematics, physics, or a related field (Master’s degree is an asset).
  • Proficiency in both French and English, including excellent oral and written communication.
  • Minimum of 3 years of experience in model development and working with large datasets (industry or academic setting).
  • Proficiency in Python and best practices in software engineering (modularity, code reuse, documentation).
  • Strong analytical skills and a keen interest in insurance pricing.
  • Excellent communication skills and ability to explain complex concepts clearly.
  • Collaborative mindset and eagerness to learn and contribute within a high‑performing team.
What makes you stand out
  • Experience with MLOps and deploying models into production.
  • Familiarity with cloud platforms and CI/CD tools.
  • Knowledge of advanced machine learning and optimization techniques.
What you’ll get
  • Compelling rewards package including base compensation, eligibility for annual bonus, retirement savings, share plan, health benefits, personal wellness, and volunteer opportunities.
  • Hybrid flexible work model.
  • Outstanding career development opportunities.
  • We’ll support your professional development education.
  • 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.

This job advertisement is for an existing vacancy which has been posted both internally & externally.

Aviva Canada may use AI (Artificial Intelligence) tools to assist us throughout the recruitment process to screen, assess or select applicants for a position.

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.

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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