Machine Learning Engineering Intern

il y a 2 semaines


Paris, France SCOR Temps plein

Machine Learning Engineering Intern The data analytics team is SCOR's center of expertise on advanced analytics topics (including Machine Learning, Natural Language Processing) applied to insurance. As part of the Knowledge division, it has the responsibility to enhance SCOR's data capabilities in order to create the insurance of tomorrow. The team is composed of data scientists, researchers and software engineers who team up to produce smart and efficient tools for insurers and reinsurers. **Responsibilities** **Key duties and responsibilities** - Participate in the development of core modules of our product - Produce Enterprise grade code - Optimize the performance of the code - Communicate your results with the team **Benefits** The team offers: - Agile environment with 2 weeks sprints - A friendly and experienced team of developers - Learnings on coding best practices and infrastructure as code - A modern scalable Cloud Native solution: Kubernetes, Docker, Helm **Qualifications** **Must have**: - Programming experience in Python, C or C++: unit tests, web framework,... - Fluent in English - Basic knowledge in machine learning - Serious, hardworking and curious **Nice to have**: - Experience with code in production **About Us** Working at SCOR means engaging with some of the best minds in the industry - actuaries, data scientists, underwriters, risk modelers, engineers, and many others - as we work together to find solutions to pressing challenges facing societies. As an international company, our common culture is defined by "The SCOR Way." Serving both to build momentum that drives the Group forward and as a compass to guide our actions and choices, The SCOR Way is anchored by five core values, reflecting the input of employees at all levels of the Group. We care about clients, people, and societies. We perform with integrity. We act with courage. We encourage open minds. And we thrive through collaboration. Job ID 300000151294778



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