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DATA SCIENTIST INTERN W/M

Euler Hermes Services S.A.S.

France

Hybride

EUR 80 000 - 100 000

Plein temps

Il y a 2 jours
Soyez parmi les premiers à postuler

Résumé du poste

A leading insurance and asset management company is seeking a Data Scientist Intern in Paris. Join a global team and contribute to building and monitoring data science models, with a focus on generative AI use cases. The ideal candidate should have some knowledge of Python and data science tools. This role offers a collaborative environment with opportunities for learning and personal growth.

Prestations

Modern work environment
Inclusive workplace
Career development opportunities

Qualifications

  • Good knowledge of Python is a plus; willingness to learn more is mandatory.
  • Familiarity with data science and machine learning algorithms.
  • Understanding of data science tools and libraries like Pandas and Matplotlib.

Responsabilités

  • Contribute to the overall modelling and monitoring roadmap.
  • Develop tools to track generative AI use cases.
  • Monitor machine learning models and automate analysis.

Connaissances

Python
Data science & machine learning algorithms
Standard Python data science tools
Description du poste
Overview

DATA SCIENTIST INTERN W / M

Part of the group Allianz, Allianz Trade is the global leader in trade credit insurance. Within AZ Trade and for more than 4 years, the Group Data Analytics department conducts advanced data analysis and builds data science / machine learning models to improve the company business and processes (risk assessment, pricing, underwriting, claims management, collection…).

As an insurance company dedicated to global trade, AZ Trade is the perfect playground for data science! As the foundation of our activity is to evaluate businesses around the world, we're at the crossroad of many and many information sources… and ultimately data and opportunities for data science models & analysis

As a data science intern, you will join a global team of 30+ data scientists, machine learning engineers and modelization experts and contribute to building and monitoring models

Missions
  • Contribute to the overall modelling and monitoring roadmap of the department.
  • Joining us as an intern, you will work on one or multiple assignments, for instance
  • developing state-of-the-art tools to track generative AI use cases;
  • monitoring of machine learning models through reviews and automatising analysis;
  • working on a generative AI use case, e.g. in bond management;
Profile
Data Science skills
  • Python (good knowledge is a plus, willingness to learn more is mandatory : -))
  • data science & machine learning algorithms and best practices
  • standard Python data science tools & libraries (Pandas, Matplotlib, …)
Other skills
  • willingness to learn new stuff each and every day
  • curiosity
  • autonomy to propose solutions to technical or business problems faced
  • ability to transpose a business issue into a modelling issue (and vice versa)

#France

#Paris

#LI-JM1

82671 | Sales & Distribution | Student | n.a. | Allianz Trade | Full-Time | Temporary

Headquartered in Paris, Allianz Trade is present in over 40 countries with 5,800 employees. In 2024, our consolidated sales reached 3.8 billion euros, and we guaranteed 1,400 billion euros of trade transactions worldwide.

Certified as a Great Place to Work, Allianz Trade stands out for its modern and flexible work environment, which seamlessly combines in-person collaboration with smart working.

Allianz Group is one of the most trusted insurance and asset management companies in the world. Caring for our employees, their ambitions, dreams and challenges, is what makes us a unique employer. Together we can build an environment where everyone feels empowered and has the confidence to explore, to grow and to shape a better future for our customers and the world around us.

At Allianz, we are committed to fostering an inclusive workplace and proud to be an equal opportunity employer. We encourage you to bring your whole self to work, embracing your unique identity and experiences.

Join us. Let's care for tomorrow .

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