[Skip to main content](#main-content)

[OpenNash Jobs](https://jobs.opennash.com/)
[Hiring report](/reports/hiring/) · [All China Life Insurance jobs](https://jobs.opennash.com/companies/china-life-insurance/) · [Search jobs](/search/)

China Life Insurance · 辽宁省, 鞍山市

# 数智支持岗（市公司）

辽宁省, 鞍山市 

Listed on China Life Insurance’s official careers site. Posted September 8, 2026. Check that it is still open and apply there.
[Apply on China Life Insurance’s careers site →](https://chinalife.zhiye.com/campus/detail?jobAdId=e1065075-c59d-4626-8a5e-f6a38edb38a8)

[OpenNash Jobs](https://jobs.opennash.com/) / [China Life Insurance](https://jobs.opennash.com/companies/china-life-insurance/) / 数智支持岗（市公司）

## Job description
- 参与公司数智化发展战略的落地实施，推动人工智能与业务场景深度融合；
- 负责数据采集、清洗、分析与治理，开展数据驱动的业务洞察与决策支持；
- 参与算法模型的设计、开发与优化，支撑承保、理赔、风控等业务场景的数智化应用；
- 协助推进科技条线与业务条线的业技融合，参与跨条线数智化项目建设；
- 完成部门交办的其他数智化相关工作任务。
- 本科及以上学历应届毕业生。
- 计算机科学、软件工程、数据科学、人工智能、统计学、数学、信息管理等相关专业。
- 具备较强的数据分析能力和编程能力，熟悉Python、SQL等至少一种数据处理工具。
- 了解机器学习、深度学习等人工智能技术基本原理，有相关科研项目经验者优先。
- 具备良好的沟通协调能力、团队合作精神和强烈的责任心。

## At a glance
- Posted by the employer: Sep 8, 2026
- First seen by OpenNash: Oct 19, 2026
- Last checked: Oct 19, 2026
- Listed for: 41 days
- Location: 辽宁省, 鞍山市[Apply on China Life Insurance’s careers site →](https://chinalife.zhiye.com/campus/detail?jobAdId=e1065075-c59d-4626-8a5e-f6a38edb38a8)

## More jobs at China Life Insurance

### [分行营销英才（鞍山）](https://jobs.opennash.com/companies/china-life-insurance/jobs/b148c70a29c675f61a16/)

辽宁省, 鞍山市

### [综合柜员岗（鞍山市）](https://jobs.opennash.com/companies/china-life-insurance/jobs/072d55d9825bf5e16931/)

辽宁省, 鞍山市

### [营销管理岗 (园林支公司)](https://jobs.opennash.com/companies/china-life-insurance/jobs/afa1ef2d9e342366f920/)

辽宁省, 鞍山市

### [95519客户服务热线财险客服代表](https://jobs.opennash.com/companies/china-life-insurance/jobs/51d8edb12e9be9f75bdb/)

陕西省, 西安市

### [AI安全岗](https://jobs.opennash.com/companies/china-life-insurance/jobs/ac1fb9d6e43479bcf2d0/)

北京市

OpenNash lists jobs from employers’ own careers sites and does not handle applications.
Dates come from the employer where stated; “first seen” and “last checked” are our own observations.

OpenNash Jobs · Official listings with dates and links to the employer. [Weekly hiring report](/reports/hiring/) · [Methodology](/methodology/)