Data Scientist

Location: Toronto, ON

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If 2020 has shown us anything, it’s that insurance is ripe for disruption. There’s no better time to stake your claim in transforming an entire industry – and the way customers engage with our products and services – than now. As consumers increasingly expect more choices, we’re on a mission to make getting insurance simpler and cheaper.

That’s why at Aviva Canada we’re investing over $100 million in our data science, pricing sophistication, and digital transformation strategy. One that demands we connect with extraordinary talent and give their innovative ideas every opportunity to thrive. One that uses data to put the customer first at a massive scale, using advanced analytical techniques and rich data assets, overlaying that with deep business knowledge to create actionable insights, models and tools that support Aviva’s strategic priorities and help customers defy uncertainty.

When you join our diverse community of best-in-class talent, you’ll be gaining an unrivalled opportunity to spearhead product innovation and development, harness the latest cutting-edge technologies, and launch breakthroughs. And do it all faster and smarter as we combine data science and actuarial expertise to revolutionize how we approach pricing and deliver the best outcome for our customers and strategy.

So if you’re ready to help us redesign the way we do business, we want to hear from you!

This role will start off as work from home, gradually you will be required to work in our Markham and Toronto Office.

What you need to succeed

As a senior data-scientist, you will need the following skills and experience to succeed in the role:

  • An educational background in computer-science or engineering, math, statistics, physics or related field. A minimum of MSc is required and Phd preferred.

  • 5+ years of experience with model development and working with large datasets. This can include experience from any industry or academia (post-doc experience).

  • 5+ programming experience in Python or R with good grasp of software engineering standard methodologies such as code-reusability, modularity, use of repos, etc.

  • Python/R /Dataiku

  • REST/XML/JSON/API ingestion

  • Spark/Impala/Hive

  • Expertise in machine learning theory and predictive modelling lifecycle

  • API configuration

  • Conformance/Alignment to IT/Enterprise Architecture standards (where applicable)

  • Relevant experience in P&C (preferred)

  • Shiny App development

  • Geo-analytics experience (ESRI/KML/KMZ layer development) with specialization in weather & environmental data ingestion

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. This includes participation within the broader data science community including Kaggle competitions or any personal projects with open data.

  • A can-do teammate who is willing to roll-up the 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.

  • Amazing people skills and able to translate and communicate complex algorithms to non-technical individuals. Someone who understands that it is not enough to just 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.

Position Objectives

  • Provide data support to Claims business inclusive of data mining, automated reporting and modelling.

  • Transformation of complex data sets into meaningful conclusions & recommendations

  • Develop innovative solutions for pattern recognition using machine learning and statistical approaches

  • Maintenance of expanding set of data mining tools, frameworks & approaches

  • Communicate actionable recommendations based on insights/model results

  • Deliver proactive analysis on CAT exposure, historical performance and decision making using weather and geo-analytical approaches (CAT Analytics role)

  • Driving co-ordination/delivery accountability of project and BAU delivery based on timelines & direction (Sr Data Scientist)

  • Driving conformance/Alignment to IT/Enterprise Architecture standards (where applicable) (Sr Data Scientist)

Additional Information

Aviva Canada is committed to providing accommodations for people with disabilities during all phases of the hiring process including the application process. If you require an accommodation because of a disability, we will work with you to meet your needs. Applicants need to make their needs known in advance. If you are selected for an interview and require an accommodation, you are encouraged to advise the Talent Acquisition Partner who will consult with you to determine an appropriate accommodation.

*** Mention DataYoshi when applying ***

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