Data Scientist - Toronto, Canada - Aviva

Aviva

Verified Company

Toronto, Canada

3 weeks ago

Posted by:

Sophia Lee

beBee Recruiter

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.

What you'll do- Transformation of complex data sets into meaningful conclusions & recommendations- Develop innovative solutions for pattern recognition using machine learning and statistical approaches- Communicate actionable recommendations based on insights/model results- Driving co-ordination/delivery accountability of project and BAU delivery based on timelines & direction- Driving conformance/Alignment to IT/Enterprise Architecture standards (where applicable)- Design and deploy the models to real-time APIs

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. A minimum of MSc is required and Phd preferred.
2+ years of experience in end-to-end model development life cycle and working with large datasets. This can include experience from any industry or academia (post-doc experience).
2+ 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 PostgreSQL, Teradata, Hadoop and AWS is an asset.
2+ years of experience productionalizing models, model monitoring and MLOps
1+ years of expertise in building and configuring production-ready machine learning systems
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.
Familiarity with CI/CD is a bonus
Understanding of Data Warehouse concepts, ETL strategies and best practices.
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.

- We'll support your professional development education

Additional Information