【2026年暑期實習】資訊技術開發

Responsibilities: 

• Perform data analysis, data processing, and feature engineering for business forecasting and modeling use cases. 

• Design, build, and maintain predictive models for demand forecasting, financial forecasting, or pricing analysis. 

• Develop analytical models to support business decisions such as demand planning, profitability analysis, and pricing strategy. 

• Conduct model evaluation, scenario simulation, and sensitivity analysis to support management decision-making. 

• Develop data pipelines and analytical workflows using Python and SQL. 

• Collaborate with business, finance, sales, and operations teams to define model assumptions and ensure practical usage. 

• Integrate models and analytical results into reports, systems, or automated workflows. 

• Continuously improve model accuracy, stability, and maintainability. 

Requirements： 

• Strong data analysis and quantitative modeling skills. 

• Proficiency in Python and SQL for data processing and model development. 

• Solid understanding of at least one of the following domains: demand forecasting, financial modeling, or pricing analysis. 

• Ability to translate business questions into analytical or modeling solutions. 

• Experience with predictive modeling, forecasting, or statistical analysis. 

• Experience with machine learning or model deployment practices. 

• Experience with system integration, automated reporting, or data pipelines is a plus.