Data Scientist – Center of Excellence

2 days ago


Toronto, Ontario, Canada Aviva Full time US$80,000 - US$140,000 per year


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.

#LI-SG1
#LI-Hybrid


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