Data Scientist (EnOS) Intern

Job Overview

We are looking for Data Scientist interns who will work with DS CoE team to develop algorithm package to deliver data-analytical services and products for our clients on top of EnOS platform. The ideal candidate should be adept of using a variety of ML/AI models, from traditional statistical learning models to deep-learning models, to address various data-driven requirements. They should have the experiences in data exploration, model design, implementation, and tuning and delivery modeling results to stakeholders. Also they should be familiar with latest GenAI techniques and used the variate of Large Language Models including ChatGPT, Gemini, Claude, DeepSeek, etc, know the differences among these models and how to make a suitable choice based on the natural of the task. It would be a great advantage If they have the experiences of using multi agent workflow and even build the workflow on their own. The preferred multiagent framework are CrewAI, openAI agent, agno, langchain, langgraph, AutoGen, etc. Last but not least, the passion for data science is strongly preferred especially for those who are interested in applying the cutting-edge AI/ML technologies to improve daily productivity.

Major Responsibilities

• 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.