Data Scientist / Engineer (Toronto-Hybrid)

at  Shift Technology

The future of insurance starts with AI. To date, Shift Technology’s AI-powered products have benefitted more than 300 million policyholders globally by reducing underwriting risk, identifying more fraud, and automating critical tasks throughout the claims process. Shift harnesses the power of AI to enable the world’s leading insurance organizations to make better decisions. Our products help insurers improve operational efficiency, reduce costs, and deliver superior customer experiences to their policyholders. Our culture is built on innovation, trust, and a drive to transform the insurance industry by imagining and innovating solutions that impact insurers and their customers - like you! We come from more than 50 different countries and cultures and together we are creating the future of insurance.
Shift Technology is a leader and innovator in the InsurTech industry transforming insurance with AI. We help insurers identify suspected fraud, money laundering, and fully automate more claims making internal teams more effective and improving financial performance.
Since our launch in 2014 at our corporate office in Paris, we’ve raised over $320M with Tier 1 investors, opened offices in Boston, Tokyo, Singapore, London, Madrid, Mexico, Hong-Kong, and Sao Paulo, and currently work with more than 80 of the world’s leading insurers. If you are excited about joining a fast-growing InsurTech innovator with a passion for excellence and a global culture, Shift wants to hear for you!

WHAT WE ARE LOOKING FOR

We are looking for candidates with diverse skills to help us build excellent technology solutions for our clients and be proficient in the following skills:

• Code-savvy, either by having a degree in computer science and/or having developed some apps with actual users- writing scripts for models and notebooks is not enough at Shift, we thrive on people who can write maintainable, production-quality code that will run everyday without breaking.
• AI-savvy, either by having a degree in machine learning and/or statistics. Having a clear understanding of statistics and machine learning problems, tasks and common resolutions is important to communicate internally and explain to the client how the product is working.
• Client facing. You will need to be comfortable and open to communicating to our clients on a regular basis
• Business smart. We don’t expect candidates to know the insurance sector, but we want applicants who are interested in learning and mastering the business aspects of our products

• You will actively participate in the development of our suite of products: fraud detection, anti-money laundering, and claim automation; and working on various data types such as structured data, free text, documents and images.
• Implementation of the data engineering, usually from client extracts to the insertion of the data in our data stores (SQL, ElasticSearch)
• Developing, testing, tuning models and putting them in production for tasks such as fraud detection and automation detection in complex environments.
• Automate key business tasks by implementing them in our production process framework in C#
• Conduct meetings with clients and interact with external stakeholders, whether it is for direct user feedback, presenting business cases or defining the roadmap of evolutions