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Data Scientist - Insurance Product at Element AI
Montreal, CA

Who we are

Element AI offers a scalable, customizable and sustainable suite of core AI-enabled products for the world's biggest organizations. Our access to the latest AI research through our Fellow Network gives us a unique view on developing products that are able to solve the most complex business problems.

About the role

As a Data Scientist, your mission is to help design and build AI products that will help shape the future of insurance. You will be part of a globe-spanning Insurance Pod, where you will have the opportunity to learn from and work with our world-class AI specialists.

As part of a cross-functional team with a diversity of skill sets, you will enjoy a unique opportunity to collaborate with both developers and applied research scientists to help us set up innovative data-driven production systems with significant impact on the users of our products.

You have experience in manipulating large and diverse datasets, either through graduate studies or industrial projects. You are an expert in a data science discipline, including but not limited to knowledge discovery, clustering, statistical analysis, data visualisation and data engineering. You're also a solid programmer and you're comfortable working in a software production environment. You have a practical hands-on approach to data and you keep up to date with the latest developments in your field.

What you’ll do

You will be confronted with real-world challenges and industrial-sized datasets, and you will need to use your expertise and creativity to apply data science methods to solve these problems in practical and scalable insurance product development across various insurance domains such as claims, underwriting etc. This will involve understanding product capabilities, and translating them into product features that address those needs.

You will be expected to propose appropriate models/techniques and to train models yourself. Where useful, you will not hesitate to employ statistical or classical machine learning methods as well as use modern techniques such as deep learning.

Finally, you will be expected to embrace the fact that the value of your work is ultimately reflected in the impact it has on the end-customers using our products and to find ways of measuring that impact as an integral part of your mission.

 

You want to join us because you are passionate about

  • Working with large, often noisy datasets, and making them ready for production machine learning systems;
  • Performing preliminary analysis and knowledge discovery on data provided by our customers or partners, and presenting the results in an accessible fashion;
  • Providing suggestions on how to optimize computations on large datasets;
  • Understanding the business imperatives of the insurance space and helping design and build AI products that will help shape the future of insurance;
  • Collaborating in a cross-disciplinary team that will produce state-of-the-art software;
  • Continuously learning the best practices for developing high-quality production code in a shifting technological landscape;
  • Embracing modern devops principles to development and working in a setting where code is expected to be shared and peer-reviewed.

You have

  • Passion and excitement about making a difference for insurance customers using AI;
  • A getting-things-done mindset with a desire to turn knowledge into products people will rely on;
  • At least 3 years of industrial R&D experience, ideally in an insurance setting;
  • A university degree in related field or an acceptable combination of education, training and experience;
  • Experience and mastery of scientific programming languages, libraries and tools relevant to your field, for example: scikit-learn, pandas DataFrame, NumPy, R, RapidMiner, Tableau, D3.js, etc.
  • Experience with at least one of the following programming languages, preferably for the development of production code: Python, R,  C#, Scala, Javascript, Go;
  • An understanding that well-organized data pipelines are the core of any AI system;
  • Broad knowledge of statistical and Machine Learning techniques;
  • A history of shipping high-quality code;
  • Experience in helping develop/deploy technology products (major plus);
  • Experience working in a diverse team;
  • Excellent written and oral communication skills (English and French is an asset).

More experienced candidates could evolve into a leadership position as we grow the team.

What’s in it for you

  • Fully paid for benefits, flexible hours and participation in the employee stock option program.
  • The chance to work with one of Canada’s most prolific, passionate and dedicated community of ML & AI researchers, developers and scientists.
  • Lots of food, snacks and coffee.

Note that, internally, your job title will be Data Expert.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.