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Shift Technology :

Shift is the leading AI platform for insurance. Shift combines generative, agentic, and predictive AI to transform underwriting, claims, and fraud and risk - driving operational efficiency, exceptional customer experiences and measurable business impact. Trusted by the world's leading insurers, Shift delivers AI when and where it matters most, at scale and with proven results.

The Data Science Team🤖:

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.

Your key responsibilities will include🧑‍💻:

  • Setting up and deploying data processing pipelines, such as data reception (batch or real-time), data cleaning, information extraction, and calibration of fraud detection models.
  • Collaborating with clients to understand their needs and incorporating their feedback to enhance our solutions.
  • Conducting R&D to drive product innovation (machine learning, NLP, image analysis, trend analysis, chatbots, etc.).
  • Supporting the sales team by participating in prospect demos.
  • Partnering in an entire Data Science product lifecycle : Understand how sales, legal, product, engineering are connected together to deliver an AI product to clients.

Your profile and requirements✅:

  • You are currently enrolled as a master's degree student in either Mathematics, Statistics, Computer Science, Machine learning and/or Big Data.
  • You must be able to provide an internship agreement (Convention de stage) signed by your school or university for 6 months.
  • You have experience in object-oriented programming (OOP) such as prior internship, school and/or personal projects so you can write quality production code.
  • You are comfortable dealing with clients.
  • French is mandatory at a fluent level and you can communicate clearly in English.
  • You can start your internship around February 2027 for 6 months.

Why join Shift Technology as a Data Scientist Intern ?

🤸‍♀️Flexibility, autonomy and adaptability are part of our core values : We are a horizontal organization without bureaucracy (40% of staff are data scientists) but optimal and reduced line management, focus on delivery and development while having a hybrid model.

🧠Learn from inside an AI leader tech company : Join the 13th French Licorne providing hands on training, workshop and sessions with highly experienced AI research Team.

💶Your commitment, our investment : 2000€ gross monthly gratification, high conversion rate to full time employee, dedicated HR partner, regular reviews and feedback sessions with your team.

🌍Be part of an international and diverse tech firm : Full english speaking environment with 55 different nationalities across the world and 11 offices locations (Paris, Singapore, Tokyo, Sao Paulo, Mexico City, Boston, Madrid, London, Toronto, Berlin...)

🤝Dealing with big clients and developing business skills & knowledge : Real life experience with Insurance business challenges inside the world of AI.

What is next ? 🎯

If your application and experience meet our requirements, you can expect :

  • Talent Acquisition interview (30 min)
  • 1st Technical interview(60 min)
  • 2nd Technical interview (60 min)
  • Hiring manager interview (60 min)

The interview process can take 2 to 3 weeks, depending on the interviewer's availability. Be sure that we are doing our best to get back to you with an answer as fast as possible. If you are not getting an update on your application after 10 days, please reach out to our email address.

Prérequis

  • currently enrolled as a master's degree student
  • internship agreement for 6 months
  • comfortable dealing with clients

Avantages mentionnés

  • hybrid model
  • hands on training
  • workshop and sessions
  • dedicated HR partner
  • regular reviews and feedback sessions

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