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Applied Data Scientist/Engineer

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Onsite

Applied Data Scientist/Engineer

Shift Technology

Applied Data Scientist/Engineer

Skills

SQL QueriesData EngineeringData ScienceC#Machine LearningAIElasticsearch

1 month ago

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Important information


Location:

Toronto, ON, Canada

Work mode:

Onsite

Published on:

16 September 2026

What they need


Who you are

  • 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
  • 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

What the job involves

  • 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
  • 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
  • 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

Benefits

  • Flexible remote and hybrid working options
  • Competitive Salary and a variable component tied to personal and company performance
  • Company equity
  • Generous PTO and paid holidays
  • Parental leave opportunities
  • Extensive mental health benefits provided via our global Employee Assistance Program
  • Paid volunteering time - 16 hours annually

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