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Sanofi

Digital AI & Data Science Intern

Sanofi is hiring a Digital AI & Data Science Intern in Shanghai, China. Level rates it ; you can apply on Sanofi.

Level's read on this job

  • Little AI ●○○○ is how Level rates this role: aI is not part of the work.
  • Level classes it as an internship.
  • Sanofi has 1,100+ other open roles on Level.
  • Posted in the last few days.

AI in this role

职位概述

我们正在寻找一位具有计算科学和 AI 领域知识的实习生加入 AI 项目团队。该职位将主要负责 AI 项目相关数据的整理、标注与测试工作,并有机会参与开发任务。这个角色将让您了解 AI 技术如何革新商业流程和决策过程,在跨领域项目中获得宝贵的实践经验。


主要职责

  • 数据质量管理:运用专业知识确保项目数据用例的准确性和相关性,协助优化数据处理流程。
  • 系统测试与评估:参与功能测试,从技术和业务角度评估系统的用户体验。记录并报告问题,提出改进建议,协助编写和更新测试用例。
  • 开发支持:在团队指导下参与开发任务,协助编写和维护代码相关文档。
  • 跨团队协作:与产品经理、数据科学家、开发人员和业务专家紧密合作,推进项目进展。

要求

  • 计算科学、信息系统、数学、物理、医药、经济或相关专业在读学生
  • 对 AI 在商业流程的应用展现出浓厚兴趣
  • 具备良好的数据处理、分析能力和问题解决技能
  • 优秀的团队协作能力和沟通技巧
  • 能够适应快节奏的工作环境,愿意学习新技能

加分项

  • 跨学科背景:具备计算科学和 AI 领域知识,或有 AI 项目经验,了解 AI 在商业流程中的应用
  • 编程技能:熟悉Python或SQL语言
  • 质量保证:具有软件测试经验或相关证书

Pursue progress, discover extraordinary

Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people.

At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity.

Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com!

How we rate this

Digital AI & Data Science Intern at Sanofi rates 23 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

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