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Shift

AI-driven SaaS for fraud detection

Data Science Intern

Applied Machine LearningConfirmed live in the last 24 hours
Internship · Winter 2027SingaporeNo salary listed

About the Job

Requirements

  • Be a recent graduate or in the final year of a bachelor's or master's program in Mathematics, Statistics, Software Engineering, Data Science, or Machine Learning.
  • Have experience with object-oriented programming through prior internships, school projects, or personal projects, sufficient to write production-quality code.
  • Have a clear understanding of statistics and machine learning problems and common solutions.
  • Be able to articulate thoughts and findings clearly to non-technical audiences.
  • Be available for a full-time, on-site internship lasting six months, starting in January or February 2027. Applicants must apply through a credit-bearing internship or otherwise be available full time.

Responsibilities

  • Set up and deploy data processing pipelines, including batch or real-time data reception, data cleaning, information extraction, and calibration of fraud detection models.
  • Collaborate with clients to understand their needs and incorporate their feedback to enhance solutions.
  • Conduct research and development to drive product innovation in machine learning, natural language processing, image analysis, trend analysis, and chatbots.

Desired Qualifications

  • Experience using C# is a plus.

About the Company

Shift

AI-driven SaaS for fraud detection

Shift provides AI-driven SaaS solutions for the insurance industry to detect fraud and automate claims processing. Its software analyzes large amounts of data with machine learning models to spot fraudulent activity and to route and accelerate claims through automated workflows. Subscriptions give insurers access to the platform, with additional consulting and support services available. Compared with others in the space, Shift targets a broad range of insurers—from large multinationals to regional providers—focusing on scalable, data-driven automation rather than single-point tools. The company’s goal is to help insurers reduce costs, improve the accuracy of decisions, speed up claims handling, and boost customer satisfaction.

Company size
501-1,000
Company stage
Series D
Total funding
$318M
Headquarters
Paris, France
Founded
2013

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