Data Scientist (EnOS) Intern

• Work with team and stakeholders to implement data-analytical packages for clients in multiple domains;
• Perform data exploration in depth and design/implement novel algorithms to address data analytical challenges;
• Work closely with other platform teams to deliver integrated products or solutions

Qualifications

• Excellent understanding of general machine learning techniques and popular models (linear regression, SVM, XGBoost/LightGBM, etc.), and basic deep-learning models.
• Experience with development tools like Python, NumPy/Pandas, Scikit-learn and one deep-learning framework (Tensorflow / Keras / PyTorch)
• Experience with data exploration tool and data visualization tool, such as matplotlib, Echarts, etc.
• Experiences of using different LLM models, such as various GPT models, claude models, Gemini, and deepSeek series.
• Preferred to have the experiences of building multi-agent workflow using one of the following frameworks, such as CrewAI, openAI agent, langchain, langraph, AutoGen etc.
• Excellent written and verbal communication skills for coordinating across teams.