Senior Data Scientist

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.

Join an exciting team of data scientists, actuaries and engineers at the forefront of using data to drive decisions at every level of our organization. The insurance industry is transforming, and you get to be in the driver's seat of this data-driven technology revolution.

The insurance industry has entered a period of unprecedented change, disruption, and rapid technological development. Aviva recognizes that in this rapidly changing environment building a distinctive capability in Data Science is essential - demonstrating this dedication through developing our Data Science Practice. If you are passionate about Data Science and leveraging your analytical prowess to tackle business challenges, this role could be for you. We are adopting new technology and exploring new ways of working. With our constant advancement, you will be at the forefront of a fast-evolving field. These exciting roles are at the heart of an impactful Data Science team that is redefining Aviva in the Digital age. Here, we create a long-lasting legacy and optimize every customer's experience.

As a Senior Data Scientist, you will be part of the Data Science Price Modelling and Actuarial Innovation team, a dynamic team with exposure to different business partners and direct influence on future products and innovative solutions. You will be integral to the end-to-end MLOps process, from ideation to production support to model monitoring. With support from our team, you will develop and deploy machine learning and statistical models for practical applications that impact millions of customers. The team has already developed algorithms used in production systems, and you will be part of the team expanding the scope of these algorithms.

Specifically, you will be joining the Personal Line (PI) Price Modelling – Center of Excellence (CoE) team, working with a variety of Business and Engineering partners to have the best-in-class model-based pricing solution & follow-ups to deliver business value at scale, via building and enhancing the front-end service window and back-end tech platform.

This is your chance to join the InsureTech revolution!

1. Transformation of sophisticated data sets into meaningful conclusions & recommendations.
2. Participation in all phases of pricing model MLOps process: data mining/processing, modeling, implementation and performance monitoring, etc.
3. Development and maintenance of a growing set of data mining tools, frameworks & approaches.
4. Communicate practical recommendations based on insights/model results.
5. Drive improvements to our processes and best practices and foster a culture of innovation.
6. Coach junior data scientists.

1. Undergraduate degree in Data Science, Actuarial Science, Computer Science or Engineering, Math, Statistics, Physics or a related field. A MSc or PhD is preferred.
2. 5+ years of experience with model development and working with large datasets. This can include experience from any industry or academia (post-doc experience).
3. 5+ programming experience in Python with a good grasp of software engineering standard methodologies such as code-reusability, modularity, use of reports, etc.
4. Excellent communication skills and comfort communicating sophisticated ideas appropriately for senior leadership and non-technical audiences.
5. Ability to assess and improve the usability and design of a solution.

1. Compelling rewards package including base compensation, eligibility for annual bonus, retirement savings, share plan, health benefits, personal wellness, and volunteer opportunities.
2. Outstanding Career Development opportunities.
3. We’ll support your professional development education.
4. Competitive vacation package with the option to purchase 5 extra days off per year.
5. Employee driven programs focused on gender, LGBTQ+, origins, diversity and inclusion.
6. Corporate wellness programs to support our employees’ physical and mental health.
7. Hybrid flexible work model.