Description
As a Data Scientist on our Commercial P&C Price Modelling & Sophistication team, you'll build models and data-driven solutions that improve customer experience, support business decisions, and drive innovation across the organization.
In this role, you'll contribute to the full model lifecycle, from ideation and development through deployment, monitoring, and continuous improvement. You'll work on high-impact initiatives such as claims prediction, customer journey optimization, pricing insights, and automation, partnering closely with business and technology teams.
Supported by experienced colleagues and mentorship, you'll have opportunities to grow your technical expertise while applying cutting-edge tools and techniques to projects that impact millions of customers. As the insurance industry continues to evolve, you'll help shape the future of data science and innovation at Aviva.
What you'll do:
- Transform sophisticated datasets into meaningful conclusions and recommendations.
- Develop innovative solutions for pattern recognition using machine learning and statistical approaches.
- Partner closely with Pricing and work on the data science projects end-to-end for Commercial P&C Pricing, from project planning through data processing, model training, model acceptance, and post-implementation monitoring.
- Contribute to modelling best practices and improve the quality and reproducibility of the team's work.
- Maintain a growing set of data mining tools, frameworks, and approaches.
- Communicate practical recommendations based on insights/model results.
- Support model monitoring and validation, including identifying performance deterioration, portfolio shifts, and emerging segment behavior.
What you'll bring:
- An educational background in computer science or engineering, math, statistics, physics, or a related field. A minimum of an MSc is required, and PhD is preferred.
- 3+ years of experience with model development and working with large datasets. This can include experience from any industry or academia (post-doc experience).
- 3+ programming experience in Python with a good grasp of software engineering standard methodologies such as code-reusability, modularity, use of reports, etc.
What makes you stand out:
- A growth mindset with versatile skills and ability to work through problems from first principles.
- A portfolio of projects that demonstrate your ability to draw inferences from data. This includes participation within the broader data science community, including Kaggle competitions or any personal projects with open data.
- A can-do teammate willing to roll up their sleeves and do whatever is needed to move projects forward. That means, at times you will wear different hats and be a project manager, developer, modeler, and chief communicator of solutions.
- Outstanding communication skills and ability to translate and communicate complex algorithms to non-technical individuals. Someone who understands that it is not enough just to have a phenomenal algorithm but meaningful to build an agreement for the solution from different partners.
- The best problems in the industry are yet to be articulated. We need someone who is creative, self-motivated, and can lead projects independently.
What you'll get:
- The salary band for this position ranges from $100,000 to $120,000. Please note that individual salary is determined by factors such as job-related knowledge, skills, and experience, as well as internal equity.
- 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.
- Corporate wellness programs to support our employees' physical and mental health.
- Employee discount on home and auto insurance (where applicable).