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Data Scientist - P & C Claim Analytics At Aviva

Location: Markham, Ontario

Job Description

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 critical - demonstrating this commitment through the development of 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. An exciting opportunity has arisen to play a lead role in the execution of our Claims Data Science Strategy; creating distinct competitive advantage by shaping, developing and deploying cutting-edge analytics solutions that will help deliver amazing experiences for our customers and growth for Aviva. That makes these critical roles in a team where there is outstanding scope to push boundaries. We are looking for a skilled data scientist capable of identifying opportunities to deploy the latest statistical modelling and machine learning techniques as part of our data science ambitions; identifying best practice, re-use and collaboration opportunities will be in your DNA. Join us, and you will have the chance to make a measurable impact on Aviva. You will help to formulate problems, extract and prepare data, apply modelling and then deploy the solution. Your insight will have the power to shape our technical strategies and all areas of the business.


We are embracing 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 a high-performing Data Science team that is transforming Aviva in the Digital age. Here, we are creating a long-lasting legacy and optimizing every customer’s experience.


About you


Highly numerate, you will be educated to post graduate (MSc) in a relevant discipline; Mathematics, Statistics, Computer Science. You will bring solid experience in a related role with a record of accomplishment of solving complex non-routine problems; along with expertise in some, if not all, of the following areas: Statistics, Machine Learning, Deep Learning & AI. You will have experience at all stages of data science; problem definition, data acquisition & wrangling, modelling, feature engineering and deployment. Big Data experience (e.g. Hadoop) would be ideal, but not essential. What is equally important is programming knowledge and a gift for coding using: R, Python or Spark. Your knowledge must also come with the ability to explain technical concepts to non-specialists. You will also need the drive to deliver projects –leading teams and coaching development. With these talents, you will be equipped to provide insights and deployments at scale. If you thrive on complex, non-routine problems, you will be right at home here.


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)

    Primary Skillsets

  • 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 (mandatory for CAT analytics resource)
  • 3+ years experience on Hadoop platform with specialization in Cloudera environment

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.