Schneider Electric is looking for a Data Scientist Intern to help build industry-leading machine learning tools in the energy and sustainability management industry. The intern will collaborate with internal technology and business teams to build tools to support new services, expand and improve existing services, and enable teams to be more productive by working with terabytes of data to solve real-world problems.
Requirements
- Experience with cloud computing in the context of ML and AI.
- Programming expertise in languages such as Python, SQL, R, etc.
- Experience with Natural Language Processing, Deep Learning, Transfer Learning, etc.
- Experience with optimization, time-series forecasting, and reinforcement learning are all a plus!
Responsibilities
- Design and develop optimization techniques and tools to identify trends in complex, large, structured, and unstructured data sets.
- Design and develop products which utilize Large Language Models (LLMs) or other Generative AI.
- Design and develop simulation tools for training and testing ML and deep learning models.
- Collaborate with other business team resources to identify, develop, test, and create new solutions/products.
- Apply knowledge of technology with knowledge of contemporary business models to synthesize potential opportunities.
- Work with cutting-edge technologies in ML subfields such as Natural Language Processing (NLP) and Reinforcement Learning (RL).
Other
- Pursuing a degree in mathematics, statistics, data science, analytics or other quantitative fields
- A passion for learning and working with cutting-edge AI technology
- A “can-do” attitude and the ability to work both independently and within a small group.
- Analytical self-starter with strong attention to detail and desire to learn new things.
- Strong organizational and problem-solving skills with the ability to work on multiple complex projects in diverse areas, versatile and capable within multiple disciplines.
