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AI / Data Scientist

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Onsite

AI / Data Scientist

友邦科技

AI / Data Scientist

Skills

SQL QueriesDeep LearningPythonPyTorchTensorFlowData AnalysisMachine LearningAI

9 days ago

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Important information


Contract type:

Permanent

Salary:

CN¥300,000 – CN¥480,000 / year

Location:

Chengdu, Sichuan, China

Work mode:

Onsite

Published on:

15 October 2026

What they need


该职位来源于猎聘 Roles and Responsibilities: -Act as an AI project leader by overseeing the development of major AI and Gen AI initiatives, managing stakeholders and ensuring project deadlines are met

  • Develop AI and machine learning solutions to optimize business performance across different areas of the organization;
  • Overseeing multiple resources from AI Shanghai Company, ensuring effective resource management and maintaining a high standard of technical quality in all deliverables
  • Identify actionable insights, suggest recommendations, and influence the direction of the business of cross-functional groups;
  • Engage proactively with a diverse range of business stakeholders to ensure alignment with organizational objectives and adherence to business requirements
  • Present GIO solutions to senior stakeholders, including C-level executives, and to take part in various committees and workshops
  • Develop AI and Gen AI solutions for several business functions (i.e. distribution, operations, marketing, and risk) to increase business efficiency and improve customer experience; -Manage in-country strategic initiatives related to model development and work closely with Business Units to guarantee the correct and timely implementation. Requirements: -Bachelor’s degree in a numerate discipline, e.g. Actuarial science, Mathematics, Statistics, Engineering, or Computer Science;
  • At least 7 years of working experience, ideally with experience in AI and Gen AI;
  • Proven hands-on experience in the use of at least one advanced data analysis platform (e.g. Python, TensorFlow/Pytorch);
  • Exposure to all stages of data analytics project lifecycle (scope definition, data requirements, extraction, exploration, transformation, solution development, tracking, and implementation);
  • Demonstrable understanding of data quality risks and ability to carry out necessary exploratory data analysis and quality checks to validate results obtained;
  • Experience with a variety of machine learning techniques (clustering, decision tree, random forest, etc.);
  • Knowledge of deep learning solutions and architectures – Convolutional Neural Network, Recurrent Neural Network and Transformers;
  • Experience on building business application using Large Language Models
  • Excellent relationship management, strong team building, and the ability to work across business units and functions to drive positive business outcomes;
  • Sound knowledge of programming in SQL or other programming experience;
  • Articulate, with excellent oral and written communication skills. Adaptable, able to interact and build strong relationships with people from a diverse range of backgrounds;
  • Fast learner with a willing attitude. Intellectually rigorous, with strong analytical skills and a passion for data and analytics.

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