Benchmark Research Intern — In
招聘时间
即日起 至 2027-03-24
招聘单位
日产中国
所在地区
苏州
工作地点
高铁新城青龙港路58号天成时代商务广场21楼
学历要求
本科
实习时长
每周5天，每天3小时
职责描述
【About the Role】
This is not a typical desk-research internship—you will help deliver a real benchmark study in-house for Nissan's AI and service planning. NMS is conducting a confidential benchmark on how Chinese digital services are used in-vehicle and what they mean for Nissan's AI vision. As our Benchmark Research Intern, you will have the chance to lead or support real-vehicle verification, user-perspective analysis, and delivery of findings—while also taking on broader research and analysis tasks assigned by your supervisor. If you want to see how a global OEM turns fast-moving China trends into AI and service planning, this is the role for you.
【Key Responsibilities】
1、Support end-to-end benchmark delivery: desk research, real-vehicle verification, analysis, and reporting.
2、Track OEM adoption, equipped models, integration methods, and current in-vehicle usage.
3、Conduct real-vehicle checks in China and document UX behavior, controls, and representative scenes.
4、Analyze customer value, use cases, constraints, and future trends.
5、Translate observations into clear findings and implications for Nissan.
6、Support other research, analysis, and project tasks as assigned by the supervisor.
【Who You Are】
1、Pursuing a degree in Automotive, Market Research, Business Analysis, or a related field.
2、Passionate about cars and the automotive industry.
3、Research experience is a must (market research, benchmarking, user studies, or competitive analysis).
4、Prior work experience is a plus.
5、Comfortable with Excel/PPT; basic Python/SQL is a plus.
6、Fluent in English (working language); Chinese required for local real-vehicle checks; Japanese is a plus.
7、Adaptable and proactive—comfortable taking on new tasks and working in ambiguity.
【What You'll Gain】
1、Hands-on experience delivering a real benchmark study inside a Fortune 500 company.
2、Exposure to automotive AI strategy, in-vehicle UX, and China's digital ecosystem.
3、End-to-end view from research to implications for AI development and service planning.
4、A startup-like team with global company structure.
This is not a typical desk-research internship—you will help deliver a real benchmark study in-house for Nissan's AI and service planning. NMS is conducting a confidential benchmark on how Chinese digital services are used in-vehicle and what they mean for Nissan's AI vision. As our Benchmark Research Intern, you will have the chance to lead or support real-vehicle verification, user-perspective analysis, and delivery of findings—while also taking on broader research and analysis tasks assigned by your supervisor. If you want to see how a global OEM turns fast-moving China trends into AI and service planning, this is the role for you.
【Key Responsibilities】
1、Support end-to-end benchmark delivery: desk research, real-vehicle verification, analysis, and reporting.
2、Track OEM adoption, equipped models, integration methods, and current in-vehicle usage.
3、Conduct real-vehicle checks in China and document UX behavior, controls, and representative scenes.
4、Analyze customer value, use cases, constraints, and future trends.
5、Translate observations into clear findings and implications for Nissan.
6、Support other research, analysis, and project tasks as assigned by the supervisor.
【Who You Are】
1、Pursuing a degree in Automotive, Market Research, Business Analysis, or a related field.
2、Passionate about cars and the automotive industry.
3、Research experience is a must (market research, benchmarking, user studies, or competitive analysis).
4、Prior work experience is a plus.
5、Comfortable with Excel/PPT; basic Python/SQL is a plus.
6、Fluent in English (working language); Chinese required for local real-vehicle checks; Japanese is a plus.
7、Adaptable and proactive—comfortable taking on new tasks and working in ambiguity.
【What You'll Gain】
1、Hands-on experience delivering a real benchmark study inside a Fortune 500 company.
2、Exposure to automotive AI strategy, in-vehicle UX, and China's digital ecosystem.
3、End-to-end view from research to implications for AI development and service planning.
4、A startup-like team with global company structure.
