Data Scientist

 

Description:

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.

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 140+ 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 of experience in C# and SQL, 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 in English and French
  • 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
  • Bilingual, must be fluent (CEFR C2 Level) in English and French

Organization Shift Technology
Industry IT / Telecom / Software Jobs
Occupational Category Data Scientist
Job Location Ontario,Canada
Shift Type Morning
Job Type Full Time
Gender No Preference
Career Level Intermediate
Experience 2 Years
Posted at 2025-06-25 12:21 pm
Expires on 2026-01-06