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Shift

AI-driven SaaS for fraud detection

Data Scientist Intern

Applied Machine LearningConfirmed live in the last 24 hours
Internship · Fall 2026Paris, France€11.54 /hr

About the Job

Requirements

  • You are currently enrolled as a master's degree student in Mathematics, Statistics, Computer Science, Machine Learning, and/or Big Data.
  • You must provide an internship agreement (Convention de stage) signed by your school or university for six months and be able to start the internship in November 2026.
  • You have experience in object-oriented programming through prior internships, schoolwork, and/or personal projects sufficient to write production-quality code.
  • French is mandatory at a fluent level, and you must be able to communicate clearly in English.

Responsibilities

  • Set up and deploy data processing pipelines, including data reception in batch or real time, data cleaning, information extraction, and calibration of fraud detection models.
  • Conduct research and development to drive product innovation in machine learning, natural language processing, image analysis, trend analysis, chatbots, and related areas.
  • Partner in the full data science product lifecycle and understand how sales, legal, product, and engineering work together to deliver an artificial intelligence product to clients.

Desired Qualifications

  • Prior 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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