Applied Data Scientist / Engineer  (Toronto-Hybrid)

Shift delivers AI agents that transform insurers' most critical work. By combining deep industry expertise and unmatched data resources, Shift provides proven results that have earned the trust of hundreds of the world's leading insurers. Our insurance-grade AI is accurate, explainable, and secure—empowering human experts to move with unmatched speed, total confidence, and a renewed focus on the people they serve. Your browser does not support the video tag. Our culture is built on innovation, trust, and a drive to transform the insurance industry through our SaaS platform. We come from more than 50 different countries and cultures and together we are creating the future of insurance. Learn more at www.shift-technology.com The Data Science team works on a broad range of subjects. We actively participate in the definition and development of our suite of products on fraud detection, anti-money laundering and claim automation. We have a lot of technical and professional experience in data science, data engineering, coding, business understanding and client interactions. Additionally, we also work on various data types such as structured data, free text, documents and images. About the Team This role is part of our Data Science team which is the largest team in our organization consisting of over 180+ Data Scientists throughout the world. Our Data Scientists work in a full lifecycle role and on a broad range of subjects acquiring extensive technical and professional experience in data science, data engineering, coding, business understanding and client engagement. Our company is small enough that each person’s achievements has an impact on our overall performance, yet big enough to be a world leader and innovator in our domain. As a member of the data science team, you will be working alongside our technical experts and your role will be key to rolling out our enterprise level solutions to our clients. Job Responsibilities 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 WHAT WE ARE LOOKING FOR We are looking for candidates with diverse technical skills to help us build excellent technology solutions for our clients and be proficient in the following skills: Code-savvy with 2+ years…