Nous sommes le leader mondial de l’assurance-crédit, et un expert reconnu dans les domaines de la caution, du recouvrement, du financement structuré et du risque politique. Depuis plus d’un siècle, nous aidons les entreprises à anticiper les risques, à agir avec rapidité, à prendre des décisions éclairées et à croître en toute sécurité. Basés à Paris, nous sommes présents dans plus de 50 pays avec 5 500 employés. En 2022, nous garantissions 1 057 milliards d’euros de transactions commerciales dans le monde.

 

En tant que membre du Groupe Allianz, nous faisons partie d’une communauté internationale forte, et ancrés dans une culture où tant les personnes que les performances comptent. Le bien-être de nos employés, leurs besoins individuels et leurs aspirations sont au centre de nos priorités. Nous façonnons tous ensemble un environnement au sein duquel chacun peut évoluer en toute confiance et s’épanouir.

 

Allianz Trade est la marque désignant l’ensemble des services proposés par Euler Hermes.

 

Pour plus d’informations, rendez-vous sur allianz-trade.fr.

Conduct and monitor data science projects from definition of scope, model building, to industralization and follow up of the results.

 

Challenges

- Working with large and complex datasets (need to clean, process, and analyze the data).
- Balancing technical skills with business acumen: be able to translate complex technical concepts into actionable insights for business stakeholders.
- Collaborating with cross-functional teams: work with teams from different departments and backgrounds, and be able to effectively  communicate and collaborate with these teams to drive business results.
- Communicating insights effectively: be able to communicate your findings and recommendations in a clear, concise, and impactful way to stakeholders who may have limited technical knowledge.
- Keeping up with the latest technologies and techniques: continuously update your skills and knowledge to stay ahead.

 

Main tasks

- Collecting, cleaning, and pre-processing large datasets from multiple sources.
- Developing and testing statistical models to support data-driven decision making.
- Visualizing data and presenting insights to stakeholders in a clear and actionable manner.
- Building machine learning models to make predictions, classify data, and uncover hidden relationships in the data.
- Collaborating with cross-functional teams to identify business problems and opportunities and develop data-driven solutions.
- Staying up-to-date with the latest trends and technologies in the field of data science and machine learning.

 

 

Profile

Technical skills:
- Strong knowledge of statistics and mathematics.
- Expertise in programming languages such as Python, SQL.
- Experience with data analysis and visualization tools such as Pandas, Matplotlib, Seaborn.
- Knowledge of machine learning algorithms and techniques.

Problem-solving skills:
- Ability to identify business problems and opportunities and develop data-driven solutions.
- Strong critical thinking and analytical skills.
- Experience using data to drive decision-making and solve complex problems.

Communication and collaboration skills:
- Ability to communicate complex technical concepts to non-technical stakeholders.
- Strong presentation skills and experience visualizing and presenting data insights.
- Experience working with cross-functional teams and collaborating with stakeholders from different backgrounds and departments.

Business acumen:
- Understanding of business operations and the ability to align data-driven solutions with organizational goals.
- Ability to use data to inform business decisions and drive growth.

Continuous learning and development:
- Desire to stay up-to-date with the latest trends and technologies in data science and machine learning.
- Strong curiosity and a desire to continuously improve and develop new skills.

 

#JG-LI1

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If this position seems to fit your expectations and your skills, do not hesitate to apply !