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.
- This is a hybrid position with offices in Toronto or Montreal (currently, it requires one day a week in the office).
- Join an exciting team of actuaries, data scientists and engineers at the forefront of using data science and AI to drive impactful decisions. The insurance industry has entered a period of unprecedented change. In recent years, there has been a significant increase in the use of numerous data sources for analyzing and segmenting insurance risk, including meteorological data, telematics monitoring, traffic data, climate changes, and geospatial resources. Aviva recognizes that data driven methods allow new ways to understand clients deeply and offer them personalized digital services and experiences in real-time.
- This exciting role is at the heart of a high-performing Data Science team that is impacting all aspects of insurance, from distribution to underwriting and pricing to claims. As a Data Scientist - R&D, you will be part of a dynamic team with exposure to different business partners and direct influence on future products. You will work collaboratively with stakeholders to formulate problems and conduct research to propose viable solutions. You will leverage new data sources and experiment with new approaches providing enhancements through iterations.
- What you’ll do- Influence the R&D roadmap by identifying emerging business challenges and R&D initiatives that have a high potential for applicability.-
- Push the boundaries on new methods and ways of addressing fundamental challenges in the area of AI/ML within the context of Insurance industry-
- Assist in creating compelling prototypes by working closely with teams of actuaries, data scientists and engineers building end-to-end analytics solutions that drive impact.-
- Dive into huge, noisy, and complex real-world data to discover insights and new predictive models for various business challenges.-
- Leverage the state-of-the-art in the field, including sound publications in well-known journals and conferences, and stay ahead of the curve on the newest AI methods.-
- Fast prototyping, feasibility studies, specification, and implementation of data product components.- What you'll bring
- As a data-scientist, you will need the following skills and experience to succeed in the role:
- University Degree in Computer Science, Math, Statistics, Physics, Actuarial Science or related field or equivalent. A master or Ph.D. degree is preferred.Advanced level understanding of machine learning fundamentals and model development principles.-
- Excellent presentation and communication skills, with a knack for articulating complex scientific and analytical concepts to people from various backgrounds.-
- 2-3 years of programming experience preferably in Python with strong grasp of software engineering standard methodologies such as code-reusability, modularity, use of repos, etc.2-3 years of experience with ML/AI technologies, such as scikit-learn, Keras, TensorFlow, PyTorch.-
- Experience with IoT sensor data will be considered an asset.-
- Experience with Big Data Technologies such as Spark, Databricks, Scala will be considered an asset.- What sets you apart- A growth mindset with versatile skills and able to work through problems from first-principles.-
- A portfolio of projects that demonstrate your ability to draw inferences from data.-
- Experience at all stages of data science; problem definition, data acquisition & wrangling, modelling, feature engineering and deployment.-
- Experience working as part of an Agile Team.-
- The best problems in the industry are yet to be articulated. We need someone who is creative and self-motivated.-
- Proven research track record as scientific publication in well-known machine-learning journals and conferences will be considered an asset.- What we offer- Competitive rewards package including base compensation, eligibility for annual bonus, retirement savings, share plan, health benefits, personal wellness, and volunteer opportunities.-
- Exceptional Career Development opportunities.-
- We’ll support your professional development education.- Additional Information
- We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.