Job description
Join an exciting team of data scientists and engineers at the forefront of using data to drive decisions at every level of our organization. The insurance industry is undergoing a transformation and you get to be in the driver’s seat of this data-driven, technology revolution.
You will work on impactful projects that range from predicting customer lifetime values, optimizing customer journeys or leveraging machine-learning algorithms to automate and predict claim outcomes and find new and innovative ways to impact our customers.
As a data scientist, you will be part of the Data Science Value Creation a dynamic small team with exposure to different business partners and direct influence on future products and innovative solutions. You will be an integral part in the end-to-end SDLC process from ideation to production support to model monitoring. With support from our team and your paired mentor, you will be developing and deploying machine-learning and statistical models for practical applications that impacts millions of customers. The team has already developed algorithms used in production systems and you will be part of the team that expands the scope of these algorithms. Grow your career with us as we create the InsureTech revolution!
What you'll do
Transformation of complex data sets into meaningful conclusions & recommendations
Develop innovative solutions using machine learning and statistical approaches
Design and deploy the models to real-time APIs
Maintenance of expanding set of data mining tools, frameworks & approaches
Communicate actionable recommendations based on insights/model results
What you'll bring
As a 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.
1+ years of experience in ML, NLP or Deep Learning. This can include experience from any industry or academia.
1+ programming experience in Python (or R) with good grasp of software engineering standard methodologies such as code-reusability, modularity, use of repos, etc.
Proficiency with SQL (any flavor of SQL)
Familiarity with MLOps concepts and ML productionalizion tool, e.g. Kubeflow, MLflow is a bonus.
Experience with Big Data tools (e.g. Hadoop) and AWS is an asset.
Conceptual understanding in a data-driven software engineering environment and how to leverage data to make business decisions.
A track record in building and maintaining high quality, robust and maintainable code.
An appetite for problem solving with a creative and resourceful approach to finding the right solution for the job.
Experience in consuming and building APIs is a bonus
A high level of comfort using Git
Strong communication and collaboration skills
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.
What you’ll get
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.
Support for your professional development education
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.
