AI and Digital Transformation
招聘时间
即日起 至 2027-11-10
招聘单位
汉高（中国）
所在地区
上海
工作地点
上海市/上海市/杨浦区 尚浦中心99号七幢楼 新江湾城路尚浦中心99号七幢楼
学历要求
不限
实习时长
每周4天，每天6小时
职责描述
Job Purpose:
• Support AI adoption and digital transformation initiatives across GBS Shanghai.
• Help identify, develop, and implement practical AI and automation use cases.
• Promote knowledge sharing and employee enablement through training and community activities.
• Support project coordination, communication, and impact tracking for AI initiatives.
Key Responsibilities
• Identify and manage AI use cases, opportunities, and improvement ideas across GBS+ Shanghai.
• Support the development, testing, and implementation of AI solutions using Microsoft Copilot, Python, and other digital tools.
• Support AI adoption through training, workshops, community activities, and user enablement.
• Prepare presentations, communications, reports, and knowledge-sharing materials related to AI initiatives.
• Coordinate with stakeholders to track project progress, measure impact, and support digital transformation activities.
Individual Tasks (Time in %)
• AI use case identification, analysis, and pipeline management (30%).
• AI solution prototyping, testing, and implementation support (30%).
• AI adoption, training, and community enablement activities (25%).
• Project coordination, communication, documentation, and reporting (15%).
Required Qualifications:
• Currently pursuing a Bachelor's or Master's degree in AI, Computer Science, Data Science or a related field.
• Strong interest in artificial intelligence, automation, and digital transformation.
• Familiarity with Microsoft Copilot, Python, or other AI and digital technologies.
• Strong analytical, communication, and problem-solving skills.
• Proactive, self-driven, and able to work effectively in a cross-functional environment.
Required Skills & Experience:
• Proficient in Microsoft Office, Python or other digital tools.
• Solid knowledge of AI, prompt engineering.
• Good written and spoken English.
• Strong learning agility, ownership, and attention to detail.
• Available for at least 4 working days per week; a 6-month internship is preferred.
• Support AI adoption and digital transformation initiatives across GBS Shanghai.
• Help identify, develop, and implement practical AI and automation use cases.
• Promote knowledge sharing and employee enablement through training and community activities.
• Support project coordination, communication, and impact tracking for AI initiatives.
Key Responsibilities
• Identify and manage AI use cases, opportunities, and improvement ideas across GBS+ Shanghai.
• Support the development, testing, and implementation of AI solutions using Microsoft Copilot, Python, and other digital tools.
• Support AI adoption through training, workshops, community activities, and user enablement.
• Prepare presentations, communications, reports, and knowledge-sharing materials related to AI initiatives.
• Coordinate with stakeholders to track project progress, measure impact, and support digital transformation activities.
Individual Tasks (Time in %)
• AI use case identification, analysis, and pipeline management (30%).
• AI solution prototyping, testing, and implementation support (30%).
• AI adoption, training, and community enablement activities (25%).
• Project coordination, communication, documentation, and reporting (15%).
Required Qualifications:
• Currently pursuing a Bachelor's or Master's degree in AI, Computer Science, Data Science or a related field.
• Strong interest in artificial intelligence, automation, and digital transformation.
• Familiarity with Microsoft Copilot, Python, or other AI and digital technologies.
• Strong analytical, communication, and problem-solving skills.
• Proactive, self-driven, and able to work effectively in a cross-functional environment.
Required Skills & Experience:
• Proficient in Microsoft Office, Python or other digital tools.
• Solid knowledge of AI, prompt engineering.
• Good written and spoken English.
• Strong learning agility, ownership, and attention to detail.
• Available for at least 4 working days per week; a 6-month internship is preferred.
