Data Science/ML Engineering Graduation Internship
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数据与AI——数据科学/机器学习工程毕业实习 描述 毕业实习概览: - 期限:5 - 9个月(灵活) - 每周工时:32-40小时 - 地点:ITO办公室阿姆斯特丹,混合办公 - 开始日期:从2026年1月起,开始月份灵活 - 教育水平:学术硕士 - 实习津贴:500欧元/月 摘要 通过AI的力量,运用你的技能革新传统商业实践,颠覆世界运……
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Data & AI - Data Science/ML Engineering Graduation Internship Beschrijving Graduation Internship overview: - Period: 5 - 9 months (flexible) - Hours per week: 32-40 - Location: ITO office Amsterdam, hybrid - Start date: From Jan 2026, start month flexible - Education level: Academic Master - Internship compensation: 500 euros / month Summary Disrupt the way the world works by using your skills to revolutionize traditional business practices through the power of AI. Let your talent run free and bring these companies closer to the people they serve using sophisticated AI-driven solutions; leave your digital mark on the world and advance the future of AI in business. Are you looking for an internship where you play an active role in formulating a vision on the latest digital developments? Do you want to do your graduation research on a topic that is directly relevant in the business world? Accenture offers a full-time graduation internship for 5 - 9 months, depending on the duration of your graduation project. If you already have a research question or area in mind, please share it with us! Your role Being an intern in our Data & AI team means we will shape your internship together. What topics might you consider if you apply to our group? We are interested in developing and implementing new technologies and innovations for Data Science, Machine Learning Engineering, and Generative AI. The thesis possibilities are endless, and we are eager to brainstorm with you to find a topic that best matches your interests. Some examples of previous graduation projects within Data & AI include: - Building an Explainable AI visualization tool to visualize counterfactuals (features that when changed change the prediction outcome) to explain the predictions of Machine Learning models in a business context. - Using a deep learning computer vision technique to automatically generate vectorized floorplan images that can be used by computer t...
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