Job Description
This role will start off as work from home, gradually you will be required to work in the Markham or Toronto office location.

Join an exciting team of actuaries, data scientists and engineers at the forefront of using data to drive impactful decisions. 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. This team is exploring the frontiers of the insurance business such as how to harness the data from connected cars to deliver new types of products to customers. This exciting role is 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.

As a Data Science Manager, you will lead a dynamic small team with exposure to different business partners and direct influence on future products and innovative solutions. You will lead the development of machine-learning and statistical models for practical applications that impacts millions of customers. You will manage and guide your peers in novel approaches and provide peer review for their work.

What you’ll do

  • Lead a squad of Actuaries, Data Scientists and Engineers in the development of meaningful conclusions and recommendations
  • Oversee the development of high performing machine learning and statistical models on very large datasets
  • Oversee the development of novel algorithms and innovative data-driven solutions to solve business problems
  • Help the team excel in the assigned business domain

What you need to succeed

As a manager, you will need the following skills and experience to succeed in the role:

  • Experience managing a Data Science Team
  • A teacher of technology and business in a team setting
  • Demonstrated ability to mentor team members in all aspects of their duties, communications and leadership
  • Serve as an expert throughout the full DS product lifecycle, from inception to delivery and ongoing monitoring
  • University Degree in Computer Science, Math, Statistics, Physics, Actuarial Science or related field or equivalent. Masters or PhD strongly preferred
  • 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.
  • 3-5 years of experience of building machine learning models for business applications
  • Advanced level understanding of machine learning fundamentals and model development principles (Generalization, Bias-Variance Tradeoff, GLMs, NLMs, etc.)
  • 3-5 years experience with ML/AI technologies, such as scikit-learn, Keras. TensorFlow, PyTorch
  • Experience mining IoT sensor data or Telematics 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

  • Experience leading all stages of data science; problem definition, data acquisition & wrangling, modelling, feature engineering and deployment.
  • 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.
  • Experience leading or working as part of an Agile Team

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.

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